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Tackling Insurance Fraud in Europe

Tackling insurance fraud in Europe

Risk Matters: The DWF insurance podcast | Ep07
In this episode of Risk Matters, the DWF insurance podcast, host Lorraine Carolan, Global head of Fraud at DWF is joined by experts Ben McBean (Claims Manager for QBE International and a key member of QBE's multi-award-winning Special Investigation Unit), Romain Dupeyré, Partner, and Endri Malaj, Associate.

With the increasing incidence of insurance fraud, this episode delves into the hurdles faced by insurers throughout Europe. It examines how various jurisdictions address the challenges presented by fraudsters and the strategies and solutions adopted by insurers.

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Audio Transcripts

Episode 7 - Part 1
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Welcome to Risk Matters, the insurance podcast brought to you by DWF and your

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global guide to the latest trends and issues in the insurance and reinsurance industry.

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Join us as we explore topical issues, emerging technologies and the innovative

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strategies that are shaping the global future of insurance.

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Welcome to Risk Matters, the insurance podcast from DWF.

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Today we will be talking about tackling insurance fraud in Europe.

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My name is Lorraine Caroline. I'm the Global Head of Fraud at DWF and I'm delighted

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to be joined today by Ben McBean,

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who is the Assistant Claims Manager for QBE International and a key member of

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QBE's multi-award winning Special Investigations Unit.

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Also, Romain Dupre, a partner at DWF in France, and Endre Malley,

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an associate of DWF in Italy.

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So turning to our first question, and I'll put this to you, Ben,

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what are the main fraud risks and trends currently observed in Europe?

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Hi, thanks for having me today. One of the things that we find is a major issue

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at the moment is to do with synthetic identities,

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so where criminals are utilising aspects of a genuine person's identity and

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trying to use that as part of setting up a claim or a policy.

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So they'll make documents such as driving licences and that sort of thing to

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make a fraudulent claim.

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We're also seeing issues with commercial entities

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that are being utilised by organised criminal

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gangs so where you don't

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have a lot of transparency around corporate structures

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it's really difficult to identify when

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there's a problem so there's instances

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such as cargo fraud and theft

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of plants and cargo and that sort of thing they're utilising false entities

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that are being created specifically for creating the fraud so that's a major

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problem at the moment Thanks Ben, same question to you Roman.

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Bonjour Lorraine Very happy to be with you today.

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I think as a general matter, I would say that the French market is not as mature

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as the market in the UK in fighting insurance fraud.

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So there is a tendency by

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many interests to be more careful now because

00:02:53.573 --> 00:03:00.953
there has been a witness of encountering more fraud recently and that's true

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in many different markets that's true for construction I'll come back to that

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later for the car and motor industry and as well as the marine claims I would say,

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And over to you, Andre.

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As Roman said, in Italy, the market is even less mature than France with respect to insurance fraud.

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And when discussing insurance fraud in Italy, the focus tends to be on the motor sectors.

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These for two main reasons. The first one is that we have official data only

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in respect with motor third-party insurance liability.

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And the other one is that motor sector accounts for 70% of the fraudulent claims in Italy.

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However, in the most recent years, we are facing an increase across all the

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different lines of business.

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For example, life, personal injury, theft, transport, medical malpractice.

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And another quite concerning aspect that also Ben was highlighting is that the criminals gang,

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organized gangs, are showing more and increasing interest in insurance fraud activities. Thank you.

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Ben, what are the most common types of insurance fraud seen in your market and

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can you share any examples?

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If I look at the types of things that I see the most, I see a lot of opportunistic fraud in Ireland.

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People making personal injury claims that are exaggerating the extent of the

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injury. So there's quite a lot of that in Ireland.

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From an organised perspective, as I mentioned, the challenges around cargo fraud,

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people using false identities to get into the supply chain.

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There's also construction people involved in stealing plant,

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potentially for it to be taken to Ukraine, Gaza those sort of places,

00:05:26.574 --> 00:05:29.574
we also see instances of

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stage thefts in hotels whether

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it's criminal gangs who are operating in a hotel to steal the belongings of

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genuine people or also using alleged thefts as ways in which they can mask money laundering.

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They'll say that they had a certain amount of money and...

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Expensive possessions stolen so they can make a claim, which then turns their

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dirty money into clean money as well.

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So there's quite a variety of things that are going on in Europe that I see.

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Indeed. And passing over to Italy, Andre, same question.

00:06:10.084 --> 00:06:14.624
Well, in Italy, I would say that the most common type of insurance fraud are

00:06:14.624 --> 00:06:22.164
in the modern sector, and they typically occur in high-frequency, low-value cases.

00:06:23.564 --> 00:06:29.224
As I was saying before, as I mentioned before, we have seen an increase in the

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recent year in other kind of businesses, especially personal injury and road accidents,

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property damage, and vehicle theft, which are quite expanding in the recent years.

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And I would like to share you an example of insurance fraud claims that grabbed

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the headlines of the leading Italian newspapers.

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Because quite recently, in

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2019, a criminal organization, which was composed of at least 34 members,

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was specialized in insurance fraud carried out through the mutilation,

00:07:07.064 --> 00:07:11.724
the deliberate mutilation of claims of compliant victims. And it was a very important thing.

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And this is an example that I want to share because it is one of the first times

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that an insurance fraud activity had been dealt with also by the national newspapers.

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Because as I mentioned before, in Italy, our market is not as mature as it is in the UK and in France.

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We have also many cultural aspects involved in this.

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So it is important for Italy that fraudulent activities are advised.

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So as I was saying also before, this is an aspect which is quite relevant because

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we do not want criminal organization and gang members to put their hands also

00:08:03.057 --> 00:08:09.817
on insurance fraud activities because they have almost unlimited access to money,

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to artificial intelligence technologies,

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Over to you in France, Roman.

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One of the most common areas for insurance fraud is the construction industry.

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As I mentioned, in France, construction companies need to have a number of mandatory

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coverages to carry out their activities.

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For example, decennial warranty or the coverage of reimbursement of advances, etc.

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And when some of these businesses cannot find this kind of coverage,

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they tend to forge insurance certificates, either to use certificates they had

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in the past or to use third-party insurance certificates to pretend they still

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do benefit from this mandatory coverage.

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So that's a kind of case where I can turn on a weekly basis for our clients here.

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So the construction industry is really very exposed to insurance fraud.

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I would say there is another sector which deserves specific attention,

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which is insurance intermediaries, because in a number of cases,

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insurance intermediaries are not very transparent on the information they receive

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from the insured and do not always transfer them accurately to the insurance.

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And try in the meantime to make money on the premium or to take commitments

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that insurers are not aware of.

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Ben, we all know that data is so important to detection of fraud.

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How comprehensive is the data on insurance fraud in your jurisdiction?

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For which insurance lines is data collected? And do you think there's more that

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we can be doing in this area?

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Yeah, I think if you look at the data that we get from the IFB.

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There's quite a lot of data around certain lines.

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So you get a lot of data around motor accidents, casualty claims,

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property, a bit on travel and that sort of thing.

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But generally, I think data is quite poor when it comes to commercial lines

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of business and particularly cross-jurisdictional data as well.

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It's quite hard to get data when exposures are in other jurisdictions,

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and particularly with specialist lines of business as well.

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So if you're looking at marine or something like that, it's very difficult to get that data.

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So there could be a lot more done there.

00:11:00.550 --> 00:11:09.210
And I think one area that was highlighted recently when I was listening to the Lamptience podcast.

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They were trying to do an evaluation of the trend

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of EV thefts and comparing

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that to other vehicles and seeing why it might be different but the problem

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they had was that there just wasn't the quality of the data there even though

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it was a motor line of business they still didn't have the data So I think there's

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an awful lot that needs to be done in that regard.

00:11:34.750 --> 00:11:38.170
And it's interesting that you say that, you know, it's in the mainstream,

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sort of the property casualty motor areas that we've come on an awful lot with

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the collection of data, but not so much in the commercial lines.

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Over to Roman, where is France in all of this?

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I think in the UK, the overall amount of fraud is about 5 billion, right?

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So the amount of identified frauds, if I'm correct, Lorraine or Ben.

00:12:03.829 --> 00:12:08.149
I think in France, the latest data we have come from the Alpha,

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the Association for Fighting Intrance Fraud.

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It dates back to 2024.

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And according to them, the total amount of fraud in France was 900 million euros.

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Including $650 million for casualty and property, and the rest of it,

00:12:28.629 --> 00:12:32.509
about $250 million for life insurance and health insurance.

00:12:32.889 --> 00:12:39.849
So it leads me to believe that the data in France is not totally accurate because

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I can't see that the amount of

00:12:41.689 --> 00:12:46.649
fraud in the UK could be five times more important than it is in France,

00:12:46.649 --> 00:12:51.649
and there's still a huge challenge in trying to collect the data.

00:12:52.049 --> 00:12:59.009
Another interesting data I came across was the data from Belgium in which fraud

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went up from 6,000 to 7,000 cases according to Asuralia, the Belgian Insurance Association.

00:13:06.949 --> 00:13:12.049
So I think the rise in insurance fraud is not specific to one jurisdiction in

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continental Europe, but it's a more general trend.

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And according to the French Insurer Association, that would represent about

00:13:20.409 --> 00:13:25.349
3% to 4% of the amount of the indemnities paid over a year.

00:13:26.689 --> 00:13:29.869
And Roman, can I stay with you on that? Because you talked about,

00:13:29.929 --> 00:13:31.829
you know, the data may not be accurate.

00:13:32.569 --> 00:13:38.029
And that's obviously a very big challenge. So what are the challenges around

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collecting and sharing the fraud data across Europe and the UK?

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I think the system for going after fraud is very different in each jurisdiction.

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So that's why it has impact on the overall view you can have on the data in this respect.

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You tell me what is it in the UK, in France, you have to file a criminal complaint,

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for example, if you have identified an insurance fraud.

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And until very recently, this was a quite formalistic process.

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So many of the insurers didn't want to go through that process for each case

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they identified so that's why we have a whole part which is actually below the radar.

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And actually according to new reforms you can now file a criminal complaint

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online and I'm hopeful that it will help the process for insurers to actually

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raise issues in relation to fraud and also to have more digitalized data to

00:14:39.660 --> 00:14:42.160
dig through in the future.

00:14:42.600 --> 00:14:46.800
So if you have many, many different data about fraud, for example,

00:14:46.920 --> 00:14:52.900
you can see that it affects more regions than another specific category of vehicle, as Ben mentioned.

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And that would indeed help after that in having a red flag at the time of managing losses, etc.

00:15:00.840 --> 00:15:06.040
And Ben, any views or observations on what Roman's just said? Yeah, absolutely.

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I think fundamentally the issue is that if you don't have the data,

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then the legislators don't understand the extent of the problem and therefore

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not give sufficient priority to different legislation or strategies to deal with insurance fraud.

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So this area is really important.

00:15:27.916 --> 00:15:35.516
And one of the things that's been mentioned, I think, is in relation to the

00:15:35.516 --> 00:15:36.736
way in which data is captured.

00:15:36.996 --> 00:15:42.796
So in England and Wales, we can provide data on suspected fraudsters.

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We can have proven fraud, but proven fraud might be different to proven fraud in France.

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So when you're looking at sharing data, one of the problems is around the uniformity of the data.

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So are you measuring fraud by the same yardstick?

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Are you calling it the same names exaggeration or staged or what have you do,

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Are you able to compare it like for like because it's measured in the same way?

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But I think until we're able to capture that type of data, I don't think that

00:16:19.352 --> 00:16:25.252
the full extent of fraud in the UK and Europe will be fully understood.

00:16:25.992 --> 00:16:30.212
Agreed. And Andre, what's your view from Italy?

00:16:30.832 --> 00:16:37.152
I wanted just to add something about this because I think the real key point

00:16:37.152 --> 00:16:42.212
of all this discussion is the gathering of data, as Ben and Roman were saying.

00:16:43.352 --> 00:16:48.472
And a problem that we're facing in Italy is that insurance companies are currently

00:16:48.472 --> 00:16:55.052
highly investing on advanced tools, so intelligence, artificial intelligence.

00:16:55.452 --> 00:17:03.892
But if we do not have uniform datas and good quality datas, also these investments

00:17:03.892 --> 00:17:07.572
have no real impacts on counter-fraud activities.

00:17:07.572 --> 00:17:12.092
So I think this is the key point that we must.

00:17:13.895 --> 00:17:20.155
Advertise in the coming years at an international level, not just at a national level.

00:17:21.495 --> 00:17:24.575
And Ben, do you think that it's going to be possible to have that uniformity

00:17:24.575 --> 00:17:25.855
across all jurisdictions?

00:17:28.435 --> 00:17:31.255
I think at the moment, probably not.

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As I say, I don't think that different countries

00:17:35.995 --> 00:17:39.475
um possibly appreciate the

00:17:39.475 --> 00:17:42.695
extent of fraud and how it's impacting customers

00:17:42.695 --> 00:17:45.755
um so yeah it's

00:17:45.755 --> 00:17:49.515
quite tricky like i said it's a bit of a catch-22 um um

00:17:49.515 --> 00:17:54.795
you need to um try and explain the problem but you don't have the data to do

00:17:54.795 --> 00:18:01.235
it but yeah it's very tricky but um i think there's a lot of will um when you

00:18:01.235 --> 00:18:05.755
speak to different insurers in different countries um people are work in our

00:18:05.755 --> 00:18:07.495
field in fraud detection.

00:18:08.955 --> 00:18:12.995
Everyone's got the will to work together and to do something about it.

00:18:13.155 --> 00:18:20.055
So hopefully that means that we will get a bit closer to joining up a bit more in that regard.

00:18:20.415 --> 00:18:23.875
And staying with your point. Apologies, Lorraine. In this respect,

00:18:24.075 --> 00:18:29.975
there is a very interesting recent survey conducted by ANIA in Italy.

00:18:30.155 --> 00:18:36.815
We show that 72% of respondents here in Italy believe that there is no correlation

00:18:36.815 --> 00:18:41.235
between the insurance premium that they pay and fraud.

00:18:42.135 --> 00:18:49.475
So only 50% of respondents understands that the honest policyholders are paying

00:18:49.475 --> 00:18:53.155
also for those who defraud insurance companies.

00:18:53.495 --> 00:18:59.715
So just to give you some numbers and an idea of the differences between countries,

00:18:59.735 --> 00:19:02.795
I think in the UK the numbers are.

00:19:03.750 --> 00:19:07.350
Very, very different from the ones I just showed you.

00:19:08.110 --> 00:19:11.050
So this to me confirms that there

00:19:11.050 --> 00:19:17.350
is still much to do to have uniform data between different countries.

00:19:17.910 --> 00:19:24.130
Yeah, agreed. And just picking up on the point about sort of impact and regulatory

00:19:24.130 --> 00:19:29.090
impact on fraud detection and collaboration,

00:19:29.090 --> 00:19:34.870
How do the GDPR and data protection regulations, in your view,

00:19:35.030 --> 00:19:38.650
impact the detection and collaboration in your jurisdictions?

00:19:38.910 --> 00:19:40.830
And I'll go to Romain first in France.

00:19:41.290 --> 00:19:48.190
So there is an obvious contradiction between the rules on the protection of

00:19:48.190 --> 00:19:53.270
personal data and the need to process all this data by insurance to fight fraud.

00:19:53.270 --> 00:19:59.250
Actually, in France, it was handled by way of a decision of the CNIL,

00:19:59.390 --> 00:20:03.470
the authority in charge of overseeing rules on data protection,

00:20:04.010 --> 00:20:10.430
quite a long time ago, because it was in 2014 that the CNIL issued an opinion

00:20:10.430 --> 00:20:18.030
actually classifying the fight against insurance fraud as a legitimate purpose

00:20:18.030 --> 00:20:19.590
for processing personal data.

00:20:20.530 --> 00:20:26.250
So there is a legal basis for insurers to actually process personal data they

00:20:26.250 --> 00:20:32.110
collect to make sure they are efficiently fighting insurance fraud.

00:20:32.250 --> 00:20:37.430
Of course, this is subject to a number of coverets and rules and restrictions,

00:20:37.850 --> 00:20:42.070
but they are allowed, for example, to cross-reference their different databases,

00:20:42.350 --> 00:20:50.890
etc., and to create actually a list of suspicious insurers on the basis of this regulation.

00:20:51.230 --> 00:20:58.330
So there is a way for insurers to use this, of course, with some regulatory framework.

00:20:59.110 --> 00:21:01.330
And Ben, in your view…,

00:21:01.994 --> 00:21:06.094
Yeah, I think from an outsider's perspective,

00:21:06.554 --> 00:21:14.074
it seems to me like even though GDPR comes from the same European directives,

00:21:14.374 --> 00:21:21.734
we've all applied it seemingly quite differently in the way that it's actually

00:21:21.734 --> 00:21:24.114
utilised in day-to-day life.

00:21:24.974 --> 00:21:28.654
When you look at it, a lot of them read the same,

00:21:28.934 --> 00:21:38.894
but it seems culturally there's a lot more reticence to investigate who an individual

00:21:38.894 --> 00:21:43.754
might be or that sort of thing because of a fear maybe of an information commissioner.

00:21:43.754 --> 00:21:49.974
I think it was quite useful in the UK that we had a note from our Information

00:21:49.974 --> 00:21:55.954
Commissioner to remind people that they are allowed to investigate entities

00:21:55.954 --> 00:21:57.654
for prevention of fraud.

00:21:57.654 --> 00:22:00.714
Um so that was really good but there are

00:22:00.714 --> 00:22:07.474
jurisdictions that i see where um even the the basic kyc checks are difficult

00:22:07.474 --> 00:22:12.714
because they're concerned about um infringing somebody's uh personal rights

00:22:12.714 --> 00:22:19.674
when in fact also you you are protecting customers by by doing that and i think um.

00:22:20.881 --> 00:22:23.861
I dare say in the UK, I think we've got a really good balance there.

00:22:24.661 --> 00:22:29.821
I don't feel like we have our hands tied when we're trying to investigate thoroughly,

00:22:30.601 --> 00:22:35.021
but still we are reminded of our responsibility to protect our customers' data as well.

00:22:35.201 --> 00:22:40.021
So unless we're able to get past that, I think it really hinders the ability

00:22:40.021 --> 00:22:45.521
to properly investigate and also share data. So it's quite a big problem.

00:22:46.481 --> 00:22:49.761
Andre, your view from the Italian perspective?

00:22:49.761 --> 00:22:52.821
From an italian perspective i feel

00:22:52.821 --> 00:22:55.681
like we have not the same balance that ben

00:22:55.681 --> 00:22:58.581
was talking about when referring to to

00:22:58.581 --> 00:23:01.681
the uk because actually the italian guarantor

00:23:01.681 --> 00:23:09.061
of privacy is interpreting and applying the gdpr in quite a strictly way and

00:23:09.061 --> 00:23:14.521
in my view these the constraints are directly affecting fraud detection in italy

00:23:14.521 --> 00:23:20.641
we have data minimization we have purpose limitation We have further retention limits.

00:23:21.801 --> 00:23:28.061
And for a country like Italy, which, let me say, has not such a culture,

00:23:28.441 --> 00:23:34.241
such an experience when it comes to counter fraud, this is quite, quite limiting.

00:23:34.741 --> 00:23:39.601
So I think also from a legal and legislative perspective, there is much more

00:23:39.601 --> 00:23:42.881
to do in our country in the coming years.

00:23:42.881 --> 00:23:47.881
Of course, there are also European concerns, so it does not depend so lately

00:23:47.881 --> 00:23:52.681
on Italy, but I think this is one of the further key points that we will have

00:23:52.681 --> 00:23:54.721
to work on in the upcoming years.

00:23:55.901 --> 00:23:59.661
Thank you for listening to Risk Matters, the DWF insurance podcast.

00:24:00.041 --> 00:24:03.321
We hope you join us again soon for future podcasts in our series.
Episode 7 - Part 2
00:00:00.017 --> 00:00:04.037
Welcome to Risk Matters, the insurance podcast brought to you by DWF and your

00:00:04.037 --> 00:00:07.897
global guide to the latest trends and issues in the insurance and reinsurance industry.

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Join us as we explore topical issues, emerging technologies,

00:00:11.837 --> 00:00:14.957
and the innovative strategies that are shaping the global future of insurance.

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Moving to detection of fraud now, which is all important, of course, in terms of what we do.

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What detection tools and technologies are being used to combat insurance fraud

00:00:34.097 --> 00:00:36.377
in Europe? And how effective are they?

00:00:36.797 --> 00:00:40.497
I'll ask this of Romain, if I can, in France.

00:00:40.877 --> 00:00:48.617
I think we are still at a quite early stage of this whole detection process.

00:00:48.617 --> 00:00:53.017
But it's moving on quite quickly because

00:00:53.017 --> 00:00:55.897
at first once again I come back to

00:00:55.897 --> 00:00:59.037
the role of Alpha which is quite pivotal in all

00:00:59.037 --> 00:01:03.917
this fight against insurance fraud in France and Alpha has created a platform

00:01:03.917 --> 00:01:10.117
which is now also an application in which all the fraud referrals and officers

00:01:10.117 --> 00:01:16.577
in each of the 340 members they can share information on suspicion of fraud for example.

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So that was the first seed, I would say, of the way insurers collaborated to

00:01:24.977 --> 00:01:27.337
try to share information on insurance fraud.

00:01:28.037 --> 00:01:34.077
But of course, that needs to be now also put into perspective with other tools

00:01:34.077 --> 00:01:36.117
and artificial intelligence tools.

00:01:36.357 --> 00:01:39.717
And that's very much an important subject at the moment.

00:01:40.317 --> 00:01:43.597
For example, in Les Echos, I don't know if you know Les Echos,

00:01:43.717 --> 00:01:46.597
but that is the one French economical magazine.

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There was an article last Friday,

00:01:50.697 --> 00:01:55.337
three days ago, on AI. How does it help insurance to go after fraudsters?

00:01:56.257 --> 00:02:00.977
It was very interesting of Mr. Jawish, who is the director of Shift,

00:02:01.257 --> 00:02:06.717
which was, of course, a pioneer company in terms of giving tools to insurance

00:02:06.717 --> 00:02:08.457
to go after insurance fraud.

00:02:08.457 --> 00:02:12.117
But I'm sure Ben knows that better than I do, probably.

00:02:13.623 --> 00:02:16.643
I hope I do. Yeah.

00:02:17.443 --> 00:02:23.283
I think, like Remain's pointing to, the important thing is automation.

00:02:25.043 --> 00:02:31.623
It's extremely difficult to rely upon old strategies or manually going through

00:02:31.623 --> 00:02:35.043
a file, trying to pick things out just from a human's eye.

00:02:35.043 --> 00:02:42.323
When you're looking at documents for example it's so easy for fraudsters to

00:02:42.323 --> 00:02:45.143
generate false documents that look realistic,

00:02:45.963 --> 00:02:51.743
so you need some sort of automated tool that can identify these documents and

00:02:51.743 --> 00:02:59.083
they are available to insurers but if you think of the millions of documents

00:02:59.083 --> 00:03:05.903
and emails that are processed there's no possible way that you'd find it manually so yeah,

00:03:06.548 --> 00:03:10.068
Yeah, automated document validations, important.

00:03:11.188 --> 00:03:16.068
Also, probably automated corporate entity screening as well.

00:03:17.088 --> 00:03:21.228
Again, there's that many entities there.

00:03:22.168 --> 00:03:27.468
You couldn't possibly do it manually. And if you've ever tried to investigate

00:03:27.468 --> 00:03:32.688
one of these complex corporate structures, it can take you a full day to go

00:03:32.688 --> 00:03:33.508
through the whole thing.

00:03:33.508 --> 00:03:36.828
And when you've got quite a few claims on your desk,

00:03:37.808 --> 00:03:42.288
it's very difficult to do remember pointing to Shift.

00:03:43.228 --> 00:03:47.168
Again having tools like Shift that

00:03:47.168 --> 00:03:49.928
learn what fraud looks like from

00:03:49.928 --> 00:03:54.408
your stock of claims that's something else that is really important because

00:03:54.408 --> 00:04:02.308
you can't always see what's coming next and where a system is learning what

00:04:02.308 --> 00:04:03.728
fraud looks like It helps you

00:04:03.728 --> 00:04:08.428
to spot the next thing and be a bit more proactive instead of reactive.

00:04:08.748 --> 00:04:16.308
So that's really good. And yeah, I think the automation part is the important aspect to this.

00:04:17.168 --> 00:04:23.348
Andre, from the Italian perspective? Yeah, I think that Ruman and Ben said everything,

00:04:23.888 --> 00:04:27.668
but just to add in some numbers from an Italian perspective,

00:04:27.668 --> 00:04:31.968
According to an article by Deloitte, by 2026,

00:04:32.508 --> 00:04:39.688
over 83% of Italian insurance companies are expected to deploy generative AI tools,

00:04:39.888 --> 00:04:44.568
which is quite an interesting number because it shows that also in Italy,

00:04:44.568 --> 00:04:49.428
there is more attention to insurance frauds.

00:04:49.428 --> 00:04:55.068
But again I want to, I don't know if Roman and Ben agree with me on this but

00:04:55.068 --> 00:05:01.128
I think that until we have uniform data and good quality data,

00:05:01.885 --> 00:05:08.465
the investments in tools are not enough to tackle insurance fraud.

00:05:08.705 --> 00:05:16.725
Also because especially organized gangs are investing themselves a lot of money,

00:05:16.865 --> 00:05:24.585
a lot of financials in the AI tools.

00:05:24.585 --> 00:05:33.185
So I think until we have the data, if we do not find a way to tackle insurance

00:05:33.185 --> 00:05:37.545
fraud as a unit together, I think it will be very, very hard.

00:05:38.805 --> 00:05:44.565
Ben, any observations on that? I think as an insurer, when you're trying to

00:05:44.565 --> 00:05:49.365
get your business case across to a decision maker to say, right,

00:05:49.445 --> 00:05:52.805
we need an automated tool and this is the benefit it's going to bring.

00:05:52.805 --> 00:05:57.405
It's hard to do that if you don't have a broader picture of what fraud looks like so,

00:05:58.465 --> 00:06:03.765
yeah even from the perspective of trying to get investment you need to understand

00:06:03.765 --> 00:06:08.705
the scale of the problem as well so but yeah you,

00:06:09.402 --> 00:06:14.762
I think the first thing we learn when we investigate fraud is that investigation

00:06:14.762 --> 00:06:18.842
in silos isn't as effective as collaboration with others.

00:06:19.062 --> 00:06:24.022
So, yeah, there's quite a lot to be said for that. It's the fraudster's paradise,

00:06:24.242 --> 00:06:25.362
isn't it, acting in silos.

00:06:26.162 --> 00:06:30.602
Shall we move to the legal framework in the respective countries?

00:06:31.142 --> 00:06:37.702
So, Roman, how does the legal framework in France support or hinder the fight

00:06:37.702 --> 00:06:43.922
against insurance fraud? and what avenues do you have available to you to support you?

00:06:45.642 --> 00:06:50.642
That's a good question because once you have gathered the data and actually

00:06:50.642 --> 00:06:56.102
processed them and identified a fraudster, you need to know what to do about it.

00:06:56.322 --> 00:07:01.822
And there are two avenues in France to go after fraud. One is a criminal avenue.

00:07:02.302 --> 00:07:08.802
As I mentioned, it's probably quite specific to France or relatively different than the UK.

00:07:09.222 --> 00:07:14.782
Is that the insurer, they can file a complaint with a general prosecutor to

00:07:14.782 --> 00:07:17.742
bring the matter to the attention of the prosecutor.

00:07:18.222 --> 00:07:20.882
And this is something we do every week.

00:07:21.522 --> 00:07:26.942
So we put forward forged documents and the fraudulent scheme.

00:07:27.562 --> 00:07:32.462
And then it is for the prosecutor to investigate, to hear the party,

00:07:32.722 --> 00:07:37.222
to hear the third party which claims benefit of the insurance, the intermediary, etc.

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And then it is for the general prosecutor to decide whether or not to refer

00:07:42.122 --> 00:07:44.102
the matter to a criminal court.

00:07:44.822 --> 00:07:50.262
I think in the UK you can directly put the criminal action in motion.

00:07:50.262 --> 00:07:54.282
This is not the case in France where you have this filter of the general prosecutor.

00:07:55.462 --> 00:07:57.082
Sorry, Roman, it's the same in Italy.

00:07:58.322 --> 00:08:01.362
Yeah, I guess sometimes we have to file the complaint.

00:08:01.502 --> 00:08:04.662
Yeah, we have to file the complaint and then it's to the general prosecutor

00:08:04.662 --> 00:08:06.622
to go ahead with investigations.

00:08:07.502 --> 00:08:12.562
And I think there is no specific crime for entrance fraud in France.

00:08:12.562 --> 00:08:19.642
So you have to base your argument on the general fraud qualification or, of course, forgery.

00:08:19.922 --> 00:08:25.662
That's subject to five years of imprisonment and €325,000 fine.

00:08:26.142 --> 00:08:28.262
One of the difficulties we encountered

00:08:28.262 --> 00:08:33.322
is that we have not as many prosecutors as we should in France.

00:08:33.322 --> 00:08:41.582
And they handle generally everything from, you know, theft of a car to bodily

00:08:41.582 --> 00:08:44.802
injuries to fight to riots and stuff.

00:08:45.122 --> 00:08:51.642
So one of our big job as an industry is to make them aware of the importance of insurance fraud,

00:08:52.062 --> 00:08:56.682
to have them interested in this kind of matters because otherwise we just file

00:08:56.682 --> 00:09:01.382
the complaints and sometimes it goes down the pile of things they have to do.

00:09:01.382 --> 00:09:05.582
So that's really something we should collectively work on.

00:09:05.962 --> 00:09:10.502
Just one quick word on the civil commercial aspect of things.

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Under French law, if you can prove fraud, of course you can deny coverage,

00:09:16.142 --> 00:09:24.322
but the insurer can also keep the premium even for the uncovered period after

00:09:24.322 --> 00:09:26.582
the insurance is terminated,

00:09:26.582 --> 00:09:33.862
which is a very rare case legally speaking of private fine under French law

00:09:33.862 --> 00:09:40.342
because the insurer can keep the benefits of the policy even though the contract is null and void.

00:09:41.189 --> 00:09:47.689
And Andre, in Italy, anything to add or any observations on what Roman's just said?

00:09:47.909 --> 00:09:53.509
Allow me to thank Roman because he did make also my job. So he said everything.

00:09:54.089 --> 00:09:58.349
Also with respect to Italy, as I was saying, it is very similar.

00:09:58.589 --> 00:10:03.129
Also the convictions here in Italy, we have a specific crime,

00:10:03.289 --> 00:10:08.669
which is a section 624, which is for insurance fraud.

00:10:08.669 --> 00:10:14.709
And also the convictions are quite similar because here in Italy there is imprisonment

00:10:14.709 --> 00:10:18.049
which may go from one to five years.

00:10:19.249 --> 00:10:26.129
So it's quite similar. Also the commercial venues and tools are the same.

00:10:27.749 --> 00:10:37.149
With respect to the effectiveness of these venues, I will say that the data gaps,

00:10:37.729 --> 00:10:44.029
the slow technological uptakes and the limited legal specialization that we

00:10:44.029 --> 00:10:49.309
have in Italy makes it very difficult for our legal framework to be effective.

00:10:49.309 --> 00:10:57.309
We took part to an internal event of ANIA which is, as I said before,

00:10:57.549 --> 00:11:00.749
the Italian Association of Insurance Companies and they

00:11:00.749 --> 00:11:03.669
were stressing out the fact that here in Italy there are

00:11:03.669 --> 00:11:09.169
very few lawyers specialized in fraud

00:11:09.169 --> 00:11:12.429
activities and this again shows

00:11:12.429 --> 00:11:15.729
how here in Italy there is not that

00:11:15.729 --> 00:11:18.769
much of a culture of insurance fraud like

00:11:18.769 --> 00:11:22.609
there is in the in the uk but i

00:11:22.609 --> 00:11:25.389
think we are we are improving also also in

00:11:25.389 --> 00:11:32.349
this respect also using the the example of the of the uk so over to you ben

00:11:32.349 --> 00:11:40.149
right um it's like an exam question almost it's uh um yeah there's quite a lot

00:11:40.149 --> 00:11:44.309
of avenues uh available um in england wales in particular um.

00:11:45.564 --> 00:11:50.104
And I think it's important because if you look at the numbers,

00:11:50.284 --> 00:11:57.564
so I think the ABI in the last report said that members identified about 80,000

00:11:57.564 --> 00:11:58.764
cases of insurance fraud.

00:11:59.704 --> 00:12:05.184
And then if you think about, say, the Metropolitan Police, they investigate

00:12:05.184 --> 00:12:11.084
800,000 cases a year, and our prison system has a capacity of 80,000.

00:12:11.084 --> 00:12:20.644
So if every case had to be prosecuted, it'd be a tenth of the Metropolitan Police's entire caseload.

00:12:20.924 --> 00:12:27.904
And also we'd double the prison population as well, which is quite an acute

00:12:27.904 --> 00:12:30.144
issue right at this point in time.

00:12:30.144 --> 00:12:36.484
So I think in England and Wales it is important we utilise a lot of the things

00:12:36.484 --> 00:12:42.804
we have at our hands so we can plead fundamental dishonesty,

00:12:42.804 --> 00:12:49.164
which means that if the fraud is proven civilly then the entire claim goes away.

00:12:50.104 --> 00:12:52.944
You can allege contempt of court,

00:12:53.904 --> 00:12:59.924
which could lead to a prison sentence and that's still in the civil area as

00:12:59.924 --> 00:13:08.024
such you can bring a private prosecution for attempted fraud you can bring a claim for tort of deceit.

00:13:09.344 --> 00:13:15.784
And then there's other aspects such as referring the case to IFED so the City

00:13:15.784 --> 00:13:17.744
of London Police which is specifically for,

00:13:18.564 --> 00:13:24.324
insurance fraud, but then there's a capacity issue there, so I think in the

00:13:24.324 --> 00:13:28.244
last 12 years they've probably arrested 3,000 people,

00:13:28.544 --> 00:13:34.944
so I think they're good at what they do, but the scale of it isn't big enough

00:13:34.944 --> 00:13:37.244
if you were going to refer all fraudulent claims.

00:13:38.324 --> 00:13:42.184
And then, on the other hand, we have the ability to...

00:13:43.782 --> 00:13:50.782
Deal with a fraudster in whichever way that might be, but also add them to insurance fraud register as well.

00:13:50.902 --> 00:14:00.302
So that's another way in which you can make sure that there is some form of punishment and such.

00:14:01.122 --> 00:14:05.202
And it means that it's less likely that they'll commit fraud again.

00:14:05.502 --> 00:14:11.522
So I think unless you have quite a range of options, I think it might be quite

00:14:11.522 --> 00:14:17.322
difficult to deal with the extent of fraud that happens in each country.

00:14:17.602 --> 00:14:24.282
Indeed, and it does feel that a huge part of bringing all of those areas into

00:14:24.282 --> 00:14:28.182
play has been collaboration in the industry.

00:14:28.382 --> 00:14:32.562
Whether that's between insurers, authorities, associations.

00:14:32.562 --> 00:14:39.202
So looking at the part that everyone has to play in the role in highlighting

00:14:39.202 --> 00:14:45.802
fraud and being able to detect and tackle, what is the role that collaboration plays?

00:14:46.022 --> 00:14:47.762
I'll ask you, Ben. Yeah.

00:14:49.273 --> 00:14:56.693
I think at a higher level, it's trying to engage with governments so that they

00:14:56.693 --> 00:15:02.453
can understand what we're faced with and how we're trying to protect our customers.

00:15:03.533 --> 00:15:10.113
It's only then that you're going to get support to bring in different legislation

00:15:10.113 --> 00:15:19.013
that deals with fundamental dishonesty or support to allow us to utilise things

00:15:19.013 --> 00:15:20.533
like an insurance fraud register.

00:15:21.753 --> 00:15:27.633
And then bringing in other legislation like the Economic Crime and Corporate

00:15:27.633 --> 00:15:33.673
Transparency Act, which I think has been really beneficial to England and Wales,

00:15:33.793 --> 00:15:38.473
given that our company's register was unvalidated.

00:15:38.473 --> 00:15:42.153
Validated so it kind of gave frauds

00:15:42.153 --> 00:15:46.173
to some sort of uh legitimacy when

00:15:46.173 --> 00:15:52.673
presenting um whatever it might be a claim or something um and and things like

00:15:52.673 --> 00:15:57.253
that have only come in with that collaboration with government um and then the

00:15:57.253 --> 00:16:03.393
other side of it is if you look at organizations like the ifb um it's it's,

00:16:04.280 --> 00:16:11.860
It's trying to encourage more people to collaborate in their strategies to understand

00:16:11.860 --> 00:16:18.020
what the current trends look like so people can focus their efforts and share

00:16:18.020 --> 00:16:23.500
in the data because a lot of these claims that are organized,

00:16:23.500 --> 00:16:28.120
we're not going to be able to identify the organized nature of them unless we're

00:16:28.120 --> 00:16:30.860
finding out from other people that they're also exposed to it.

00:16:30.860 --> 00:16:38.500
So, yeah, it's really important and you probably can't emphasize it enough, to be honest.

00:16:39.180 --> 00:16:43.160
And Andre, your view in Italy on the collaboration in the industry?

00:16:44.860 --> 00:16:51.320
Quite recently, Ivas has been pushing insurance companies in this direction.

00:16:51.320 --> 00:16:54.780
Also Ania has multiple

00:16:54.780 --> 00:16:57.480
times highlighted how important it is

00:16:57.480 --> 00:17:01.820
that insurance companies cooperate between each

00:17:01.820 --> 00:17:04.920
other and in Italy once again there

00:17:04.920 --> 00:17:08.040
is also a cultural aspect that we

00:17:08.040 --> 00:17:11.160
have to deal with because what

00:17:11.160 --> 00:17:17.820
we have seen from our experience is that some insurance company are quite reluctant

00:17:17.820 --> 00:17:24.340
with sharing their datas because they are afraid that these datas may show their

00:17:24.340 --> 00:17:29.240
vulnerabilities or even worse may benefit competitors.

00:17:29.620 --> 00:17:35.600
So I think that when discussing insurance fraud we must abandon this,

00:17:35.600 --> 00:17:38.400
let me say, individualistic view.

00:17:38.660 --> 00:17:41.880
We have to cooperate to solve this

00:17:41.880 --> 00:17:48.800
problem which is affecting in fact all the insurance companies and now all the

00:17:48.800 --> 00:17:55.120
lines of business because in Italy until let's say 10 years ago it was mainly

00:17:55.120 --> 00:18:00.600
an issue for insurance companies dealing with the motor sector.

00:18:01.499 --> 00:18:08.139
While now it is an issue for all insurance companies, for all the lines of business.

00:18:08.971 --> 00:18:13.011
So personal injury, medical malpractice, property, HAL, marine.

00:18:13.251 --> 00:18:16.811
So I think the need of cooperation is essential.

00:18:17.131 --> 00:18:21.891
I think if I can jump on to that as well, the other aspect as well is where

00:18:21.891 --> 00:18:30.371
something will change in one country and fraudsters will jurisdiction shop and

00:18:30.371 --> 00:18:32.151
see which area will help them.

00:18:32.151 --> 00:18:38.791
So, as I mentioned, the corporate transparency legislation that came in,

00:18:38.991 --> 00:18:45.911
that's meaning that it's a lot harder for criminals to set up a fake company in the UK now.

00:18:46.251 --> 00:18:50.571
So, they're now going to be looking at other countries that are potentially

00:18:50.571 --> 00:18:56.451
a bit softer, maybe, and so they can establish that enterprise.

00:18:56.731 --> 00:19:01.271
So, yeah, it might be Spain, Italy, or somewhere like that.

00:19:01.271 --> 00:19:08.851
So unless we actually collaborate and work together on these particular areas,

00:19:08.851 --> 00:19:16.011
then it's going to be a forever circle of trying to block the gaps where legislation

00:19:16.011 --> 00:19:17.931
hasn't covered everything off in each country.

00:19:19.131 --> 00:19:23.471
And bringing Romain in on France, collaboration and its importance.

00:19:23.871 --> 00:19:28.871
So how does the expression go? It needs a network to fight a network.

00:19:28.871 --> 00:19:32.111
So I think indeed collaboration is very important.

00:19:32.431 --> 00:19:38.351
It's a market-wide issue, so it has to be fought on a market-wide basis.

00:19:38.871 --> 00:19:42.991
And indeed every association has its role to play.

00:19:42.991 --> 00:19:48.591
In France that would be of course as I mentioned it I hope you understood it

00:19:48.591 --> 00:19:52.871
by now the alpha which is really specifically devoted to fighting insurance

00:19:52.871 --> 00:19:58.531
fraud but the message has also to be relayed by the French Association of Insurance,

00:19:59.191 --> 00:20:05.131
which really gather all big corporate insurance companies so to make sure that

00:20:05.131 --> 00:20:08.871
in each of these entities there is somebody in charge.

00:20:09.583 --> 00:20:12.963
Actually responsible for handling the fight against fraud.

00:20:13.303 --> 00:20:20.783
That would also be the ACPR, the regulatory body for insurance companies in France,

00:20:20.963 --> 00:20:27.543
in particular in relation to intermediary frauds, because this should also have

00:20:27.543 --> 00:20:32.623
a regulatory sanction and withdrawal of authorization and this kind of thing.

00:20:32.743 --> 00:20:36.603
So on a national level, I think it's very important that all these organizations,

00:20:36.603 --> 00:20:43.543
They work together to warn their members on the issue, to train them,

00:20:43.743 --> 00:20:45.503
which is a huge role of alpha.

00:20:45.803 --> 00:20:53.143
I think you have two trainings a week on how to find a forged document,

00:20:53.143 --> 00:20:56.943
how to use AI to fight fraud, etc.

00:20:57.463 --> 00:21:03.043
And also to make sure there are sanctions. So that's what I would say on the national level.

00:21:03.043 --> 00:21:09.243
And of course, international cooperation is extremely important,

00:21:09.543 --> 00:21:15.703
as this actually is clear from our discussion today.

00:21:15.703 --> 00:21:20.303
Because, you know, when you see that in one country you have a specific criminal

00:21:20.303 --> 00:21:23.223
qualification for insurance fraud, like Italy,

00:21:23.443 --> 00:21:28.883
which is not the case in France, and the rule on GDPR may be more permissive,

00:21:28.883 --> 00:21:33.203
I would say, in France for authorizing insurance to use data than in Italy,

00:21:33.483 --> 00:21:37.943
and that the data are so different in the UK than they are in France.

00:21:37.943 --> 00:21:43.123
So I think there is a huge need for this international cooperation.

00:21:43.123 --> 00:21:50.083
So do we use some standards, rules, and tools to go after the phenomenon?

00:21:50.643 --> 00:21:54.723
And I do like that phrase, it takes a network to fight a network.

00:21:54.903 --> 00:21:56.483
I'm going to have to remember that one in the future.

00:21:57.663 --> 00:21:59.363
Let's turn to culture now.

00:22:00.050 --> 00:22:02.570
So how do cultural factors influence

00:22:02.570 --> 00:22:08.050
the prevalence and perception of insurance fraud in your country?

00:22:08.430 --> 00:22:10.410
Let's go to Andre on this one first.

00:22:10.970 --> 00:22:17.810
Yeah, I think I mentioned cultural aspect many times during this podcast.

00:22:18.250 --> 00:22:23.670
Someone might get offended, but the results show that fraud is encouraged,

00:22:23.930 --> 00:22:28.050
at least in Italy, by certain deeply rooted beliefs among citizens.

00:22:28.050 --> 00:22:36.330
And, for example, failing to insure a vehicle, I would say that is socially accepted,

00:22:36.990 --> 00:22:44.670
if not normal in certain areas of Italy, to give you some numbers, some data with respect.

00:22:44.950 --> 00:22:52.530
We have around 2.8 million vehicles which are circulating in Italy not insured.

00:22:53.450 --> 00:22:58.850
So in Italy, the average premium

00:22:58.850 --> 00:23:01.790
is around 500-600 euros per

00:23:01.790 --> 00:23:08.710
year So I will let the audience do the math So we can understand how of a damage

00:23:08.710 --> 00:23:15.210
this is for insurance companies And this is also with respect to this specific

00:23:15.210 --> 00:23:19.230
area But what is the basis for this cultural aspect?

00:23:19.230 --> 00:23:26.230
I think that insurance companies are usually perceived as a sort of powerful

00:23:26.230 --> 00:23:31.830
and rich entities from which, let's say, there is a right to attempt to steal.

00:23:32.250 --> 00:23:35.690
So, in fact, there is not a real social condemnation.

00:23:36.430 --> 00:23:41.110
There is no insurance literacy, for example, in Italy.

00:23:41.330 --> 00:23:46.990
So, I think until we develop an insurance knowledge across the public,

00:23:47.230 --> 00:23:52.410
the general public, the public opinion, it will be very, very difficult to lower

00:23:52.410 --> 00:23:54.790
the numbers that we are currently facing.

00:23:56.305 --> 00:24:06.145
And Romain in France? I would say that in France it's really a matter of visibility of the issue.

00:24:06.885 --> 00:24:11.325
Because, you know, we talk about tax evasion, social fraud, etc.

00:24:11.765 --> 00:24:17.725
And insurance fraud would definitely be at the bottom of this list in terms of concerns.

00:24:17.725 --> 00:24:23.945
And I think the average insured does not measure indeed the effect that insurance

00:24:23.945 --> 00:24:27.985
fraud has on its own premium and its own situation.

00:24:28.565 --> 00:24:34.905
And that actually is a good insured. Some do pay off for the bad ones.

00:24:35.605 --> 00:24:39.645
So that's one of the issues I would put forward.

00:24:39.645 --> 00:24:47.485
The other one is really the one I mentioned before in terms of the need to really

00:24:47.485 --> 00:24:54.725
put the matter forward to make sure there is an understanding by the one who

00:24:54.725 --> 00:24:57.405
are actually in power to prosecute these claims.

00:24:57.405 --> 00:25:04.085
Meaning what we would need is actually a document from the Ministry of Justice

00:25:04.085 --> 00:25:09.985
to the General Prosecutor to say one page, please have this issue in mind.

00:25:10.245 --> 00:25:14.905
It is small cases, there are small cases, but in the end it's a huge issue.

00:25:15.665 --> 00:25:18.765
So I think that's what we should be doing.

00:25:19.685 --> 00:25:24.745
And Ben, for years we've heard fraud is a victimless crime and as an industry

00:25:24.745 --> 00:25:30.585
worked very hard to really raise the perception of fraud and the fact that it isn't.

00:25:31.045 --> 00:25:34.405
So what's your views on the cultural factors here?

00:25:35.165 --> 00:25:40.465
I think there's a few cultural factors, not only jurisdiction but also lines of business.

00:25:40.465 --> 00:25:46.605
I think that if you look at specialist lines of business, they don't have the

00:25:46.605 --> 00:25:49.125
same awareness or understanding of

00:25:49.125 --> 00:25:54.965
insurance fraud that maybe more sort of property casualty motor lines do,

00:25:55.468 --> 00:25:59.848
Um, because it's been at least sort of 15, 20 years that, um,

00:26:00.588 --> 00:26:03.928
um, insurers have been working together in those lines of business and maybe

00:26:03.928 --> 00:26:05.928
less so in the specialist line.

00:26:06.168 --> 00:26:11.388
So, um, I think that means that there's a lot less detection and awareness.

00:26:11.808 --> 00:26:14.768
Um, from a jurisdiction perspective, um,

00:26:15.228 --> 00:26:18.388
when I look at what's happening in different countries across Europe,

00:26:18.648 --> 00:26:27.268
there is a marked difference in how we publicise issues about insurance fraud,

00:26:27.368 --> 00:26:32.828
whether it's cases that have been through the courts or whether it is publicity

00:26:32.828 --> 00:26:36.408
around the impacts or going to Endry's point.

00:26:37.528 --> 00:26:42.468
Unless you're actually relating insurance fraud back to the customer to say

00:26:42.468 --> 00:26:50.348
what the impact is on them, I don't think you get the real sort of deterrent effect.

00:26:51.288 --> 00:26:59.648
If you look at recent reports from RUSI where they explained that vehicle theft

00:26:59.648 --> 00:27:02.928
is more and more organized than opportunistic.

00:27:03.248 --> 00:27:10.648
And if you think that in the UK, I think last year vehicle thefts cost us about 1.5 billion.

00:27:11.268 --> 00:27:14.748
Um, that's quite a significant impact on the customer.

00:27:15.228 --> 00:27:20.048
Um, and I believe, um, I don't know if Roman can correct me,

00:27:20.148 --> 00:27:24.208
but I think France is potentially, I think they might be, um,

00:27:24.508 --> 00:27:27.508
have a greater issue with vehicle theft than we do in the UK as well.

00:27:27.688 --> 00:27:30.548
So, um, yeah. Same for Italy.

00:27:30.988 --> 00:27:37.128
Yeah. Facing unbelievable issues with vehicles sold in the Eastern Europe,

00:27:37.628 --> 00:27:40.228
also Russia, Romania, Bulgaria.

00:27:40.668 --> 00:27:46.688
So countries where also public prosecutors have little if not zero access.

00:27:48.195 --> 00:27:51.815
So this is an international issue, I would say.

00:27:52.775 --> 00:27:57.415
And they're all facilitated by supply chains across Europe.

00:27:58.615 --> 00:28:02.495
The vehicles, whether it's plant machinery from construction sites,

00:28:02.675 --> 00:28:08.535
whether it's a Toyota Hilux or something like that,

00:28:08.995 --> 00:28:14.315
they're taken from the UK's perspective, they're transported across to France

00:28:14.315 --> 00:28:22.375
or Netherlands and then straight through to Africa or to the Ukraine or Gaza or somewhere like that.

00:28:22.515 --> 00:28:30.155
So there's a lot of opportunities for people to collaborate and to identify these areas.

00:28:30.375 --> 00:28:39.675
But without that, penetrating that cultural challenge, I don't think that people would sort of...

00:28:41.155 --> 00:28:46.755
Perhaps report people who are associated to these gangs to the police or to

00:28:46.755 --> 00:28:48.275
the insurance authorities.

00:28:48.655 --> 00:28:54.975
So, yeah, it makes it a lot more difficult to break down these gangs and that sort of thing, yeah.

00:28:55.295 --> 00:29:01.195
And that leads neatly on to our final area of discussion today,

00:29:01.395 --> 00:29:07.735
which is around improvements or changes that you'd all like to see in the different

00:29:07.735 --> 00:29:11.735
jurisdictions to strengthen the fight against insurance fraud.

00:29:12.155 --> 00:29:14.655
So, Romain, should we go to you first in France?

00:29:15.115 --> 00:29:21.335
Yes, thank you, Lorraine. So, all this thing is relatively new in France.

00:29:21.715 --> 00:29:24.635
Once again, the Alpha was created 25 years ago.

00:29:25.395 --> 00:29:30.715
And, for example, in a couple of weeks from now, there will be the 14th national

00:29:30.715 --> 00:29:33.635
day for fight against insurance.

00:29:33.635 --> 00:29:40.615
So I think we are learning, we are improving what we would need is not that

00:29:40.615 --> 00:29:46.795
much of a legislative change but rather a better coordination.

00:29:47.855 --> 00:29:53.555
As we mentioned it better earlier so to make sure that all the actors and victims

00:29:53.555 --> 00:29:59.835
of the fraud act together in the same direction be the consumer association

00:29:59.835 --> 00:30:03.735
once again Association of Interest Brokers,

00:30:04.515 --> 00:30:09.255
at a national and international level and just to repeat it to make sure that

00:30:09.255 --> 00:30:15.235
the one who has the power to go after it that the general prosecutor are mindful of the problem.

00:30:16.714 --> 00:30:22.434
And Andre, from Italy. From Italy's perspective, of course, coordination and

00:30:22.434 --> 00:30:30.374
cooperation, as we discussed before, is quite essential to fight and fraud activities.

00:30:30.974 --> 00:30:37.074
But with respect to Italy, I think that two further actions will be required.

00:30:37.494 --> 00:30:44.054
One involves cultural engagement with the public opinion, while the other concerns

00:30:44.054 --> 00:30:46.154
the fight against organized crimes.

00:30:46.154 --> 00:30:50.714
And also this is something that

00:30:50.714 --> 00:30:55.134
quite concerns me with respect to the first one I think that it is essential

00:30:55.134 --> 00:31:01.214
in Italy to promote a sort of insurance literacy across all the country and

00:31:01.214 --> 00:31:06.314
let me say not just the public the general public but also brokers,

00:31:06.734 --> 00:31:13.354
intermediaries and also insurance companies that should start to treat insurance

00:31:13.354 --> 00:31:18.094
fraud as it really is, as it is in fact.

00:31:18.354 --> 00:31:25.494
So it's one of the most relevant issues that we are facing on a daily basis.

00:31:25.734 --> 00:31:29.794
And the other one, as I said, concerns the fight against organized crime.

00:31:29.974 --> 00:31:38.834
Because as Ben was saying before, this is not fraud. but it's now an issue that

00:31:38.834 --> 00:31:44.254
involves international gang-organized crimes.

00:31:45.434 --> 00:31:48.994
So we need to step up on this.

00:31:49.554 --> 00:31:55.214
The level of attention needs to be much, much higher.

00:31:55.494 --> 00:31:59.574
We need to invest in artificial intelligence. We need to invest in cooperation.

00:31:59.594 --> 00:32:06.234
We need to invest in gathering the data, but we must do it as a unit.

00:32:06.394 --> 00:32:08.094
Not country per country.

00:32:09.558 --> 00:32:12.738
Thank you. And over to you, Ben, final word.

00:32:13.098 --> 00:32:18.418
I feel like I'm going to repeat the other two parrot fashion. I don't disagree at all.

00:32:19.258 --> 00:32:25.198
Collaboration is the fundamental aspect, whether it's in relation to gathering

00:32:25.198 --> 00:32:30.238
data, trend analysis, collaboration on criminal networks.

00:32:32.058 --> 00:32:39.238
I think that's the primary key to better detection and improvement in what's happening.

00:32:39.878 --> 00:32:45.318
And then the publicity around what fraud looks like and the impact on society

00:32:45.318 --> 00:32:48.618
in each country. I think it's so important.

00:32:49.058 --> 00:32:52.978
And I think I said earlier, it's kind of a catch-22.

00:32:53.298 --> 00:32:59.238
You need to get the data to ensure the impact, but you can't actually get the

00:32:59.238 --> 00:33:04.938
data because there isn't the priority behind that strategy as such.

00:33:05.138 --> 00:33:11.258
So, yeah, it's a combination of things. It's complex as most things are,

00:33:11.398 --> 00:33:18.238
but I think collaboration on all of the above is extremely important. Absolutely.

00:33:19.258 --> 00:33:25.818
Remains to be said, thank you all very much for listening. We hope you found this very insightful.

00:33:26.398 --> 00:33:32.638
Thank you specifically to our guests, to Ben, to Roman and to Endre for joining

00:33:32.638 --> 00:33:37.018
us and giving us such an insight into the different jurisdictions.

00:33:37.018 --> 00:33:43.238
We do hope you will join us again for the next episode in the Risk Matters series.

00:33:44.978 --> 00:33:48.738
Thank you for listening to Risk Matters, the DWF insurance podcast.

00:33:49.198 --> 00:33:52.378
We hope you join us again soon for future podcasts in our series.

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