Allianz: New Data Privacy Trends Driving Growth of Large Cyber Claims

Cyber claims have continued their upwards trend over the past year, driven in large part by a rise in data and privacy breach incidents, Allianz Commercial warns in its annual cyber risk outlook. The frequency of large cyber claims (>€1mn) in the first six months of 2024 was up 14% while severity increased by 17%, according to the insurer’s claims analysis, following just a 1% increase in severity during 2023.

Data and privacy breach-related elements are present in two-thirds of these large losses. Overall, the total number of cyber claims in 2024 is expected to stabilise, following a 30% increase in frequency during 2023, which resulted in 700+ claims.

“The growing significance of data breach losses among cyber insurance claims is driven by a number of notable trends,” explains Michael Daum, Global Head of Cyber Claims at Allianz Commercial. “A rise in ransomware attacks including data exfiltration is a consequence of changing attacker tactics and the growing interdependencies between organisations sharing ever more volumes of personal records. At the same time, the evolving regulatory and legal environment has brought an uptick in so-called ‘non-attack’ data privacy-related class action litigation, resulting from incidents such as wrongful collection and processing of personal data—the share of these claims has tripled in value in two years alone.”

Allianz Notes That ‘Non-Attack’ Claims Increase as Privacy Litigation Ramps Up

The rise in ‘non-attack’ data privacy claims, according to Allianz is the consequence of developments in technology, the growing commercial value of personal data, and a developing regulatory and legal landscape. For example, unlike the EU’s General Data Protection Regulation (GDPR), privacy regulations in the US are less prescriptive and open to interpretation, while plaintiff lawyers are hungry for potential sources of revenue. This is creating a grey area that is ripe for class action litigation, the report notes.

“We are seeing more data privacy breach claims in the US where there is a growing trend for class action litigation against large US and international corporations related to privacy violations, such as around consent and data usage,” says Daum. “The cost of some of these claims can be even larger than a ransomware incident, in the hundreds of millions of dollars.”

Over the last year in particular, data breaches have emerged as one of the fastest growing areas of US class action litigation. Over 1,300 were filed across a wide range of data privacy regulations in 2023, more than double the number filed in 2022 and four times that filed in 2021, according to law firm Duane Morris.

Multiple class action lawsuits have been launched against organisations across a wide range of industries, including healthcare, social media and gaming, for using tracking tools such as Meta Pixel to monitor consumer behavior, while entertainment streaming platforms have also been targeted, alleging that they may have violated privacy protection rights.

Large data breach events can also evolve into hyper litigation, with one event triggering a slew of class actions. More than 240 lawsuits related to the 2023 MOVEit data breach were consolidated into a single Multidistrict Litigation in October 2023. And with large numbers of claimants, there are incentives for parties on both sides to settle. The top 10 data breach class action settlements last year totaled USD $516 million, a significant increase over the USD $350 million recorded in 2022.

The risk of data breach litigation is also growing in Europe, notes the Allianz report. Heightened awareness of data protection rights, a rise in the availability of third-party litigation funding, and a more consumer-friendly litigation environment could make mass data privacy claims a reality, albeit not on the same scale as the US, the report notes.

Asian Companies Must Not Rest on Their Laurels

Worldwide, the average cost of a data breach reached an all-time high in 2024 of USD $4.9 million. In comparison, the average data breach costs in Japan, South Korea, ASEAN, and India are USD $4.19 million, USD $3.62 million, USD $3.23 million, and USD $2.35 million, respectively, according to IBM’s Cost of a Data Breach Report 2024.

“Despite the relatively lower loss severity in Asia compared to other regions, companies need to stay vigilant as there is a noticeable uptick of cyber incidents in the region. One of the contributing factors is the gradually evolving cybersecurity maturity. Furthermore, a considerable number of outsourced technology service providers are located in Asia, which constantly attracts threat actor interest. The aim of the supply chain attack vector is to gain access to multiple victims,” says Karlis Trops, Head of Cyber and Tech Professional Indemnity at Allianz Commercial Asia.

“Companies in Asia can further strengthen cyber resilience and preparedness. Notwithstanding the implementation of new privacy regulation and cyber security acts, as well as mandatory cyber security incident reporting by some countries in the region in recent years, investment in cyber security controls by companies in Asia in general lags compared to their peers in other regions such as USA and Europe.”

AI to Power and Prevent Future Data Privacy Breaches

The fact that almost every industry is now using Artificial Intelligence (AI) will have a significant impact on the cyber and privacy risk landscape in future. AI relies on the collection and processing of vast amounts of data, including personal, health and biometric information, for training AI models and making predictions or recommendations.

But AI tools such as chatbots can create potential privacy, misinformation, and security risks if not properly managed. With so much data being collected and processed, there is a risk that it could fall into the wrong hands, either through hacking or other security breaches. The Allianz report adds that there are also concerns around potential breaches of privacy laws, such as whether organizations have proper consent to process data through AI.

From Data Exfiltration to Data Protection

Despite seeing a general trend for increased investment in cyber security in recent years, Allianz points out that many data breaches, including some of the largest mass data exfiltration cyberattacks over the past 18 months, are the result of weak cyber security within organisations and/or their supply chains.

Such incidents, according to Allianz can lead to a large claim involving regulatory fines, notification costs, and third-party litigation, in addition to extortion demands, first-party costs, and business interruption, according to the Allianz report.

“The insurance industry must also step up its focus on the data privacy side of cyber risk and has a key role to play in offering loss prevention and mitigation advice to businesses about this increasingly important area of exposure,” says Vanessa Maxwell, Global Head of Cyber and Financial Lines at Allianz Commercial. “The value of cyber insurance goes well beyond the payment of claims. Insurance helps companies make the business case for cyber security investment and to direct their resources towards the most effective measures.”

Data breach risks, Allianz points out, are best mitigated through good cyber hygiene, including strong access controls, database segregation, backups, patching and training. Having better oversight of any cyber weaknesses in their supply chains is an area where many companies need to improve.

“Early detection and response capabilities are also key. Around two thirds of breaches are typically reported by a third party or by the attackers themselves,” says Rishi Baviskar, Global Head of Cyber Risk Consulting at Allianz Commercial. “Cyber breaches that are not detected and contained early can end up being 1,000 times more expensive than those that are, the difference between a €20,000 loss turning into a €20 million one.

“AI is also becoming an essential tool in the fight against cyber-attacks, as it can quickly identify a security breach and automatically isolate systems and databases, as well as having the potential to significantly reduce the cost and lifecycle of a data breach claim by automating tasks, such as forensics and notifications, potentially saving companies millions of dollars,” he adds.