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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

00:02:09.453 --> 00:02:16.813
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

00:05:29.574 --> 00:05:32.994
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,

00:07:01.564 --> 00:07:06.884
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

00:11:26.670 --> 00:11:31.290
it was a motor line of business they still didn't have the data So I think there's

00:11:31.290 --> 00:11:34.430
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,

00:11:38.530 --> 00:11:43.590
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.

00:11:47.130 --> 00:11:50.990
Over to Roman, where is France in all of this?

00:11:52.849 --> 00:11:58.489
I think in the UK, the overall amount of fraud is about 5 billion, right?

00:11:58.789 --> 00:12:03.049
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,

00:12:08.389 --> 00:12:11.009
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

00:13:12.049 --> 00:13:15.569
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.

00:14:06.500 --> 00:14:10.220
And until very recently, this was a quite formalistic process.

00:14:11.360 --> 00:14:15.440
So many of the insurers didn't want to go through that process for each case

00:14:15.440 --> 00:14:21.700
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.

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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?

00:16:01.516 --> 00:16:08.016
Are you calling it the same names exaggeration or staged or what have you do,

00:16:08.872 --> 00:16:12.772
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.

00:17:32.295 --> 00:17:35.995
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.

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