AI Agents May Surpass Human Error as Primary Source of Data Breaches

By Chad Hemenway

Artificial intelligence (AI) is increasingly becoming a focal point in Experian’s annual breach forecast for 2026, significantly shaping the landscape of cyber incidents in terms of scope, frequency, and financial impact.

In the latest Data Breach Industry Forecast, AI features prominently in various predictions. Michael Bruemmer, vice president of global data breach resolution, along with Jim Steven, head of crisis & data response services in the UK, highlight the potential for agentic AI systems to be exploited by sophisticated hackers. These malicious actors could inject their AI agents to disrupt the orchestration or governance of the victim’s own AI systems.

Experian warns that such disruptions could have dire consequences, potentially impacting an organization’s operations or leading to the theft of money, goods, or sensitive information. In more severe cases, these AI agents could execute ransomware-like operations. “AI agents are the next frontier for fraud and cybercrime,” the report states, predicting that they may soon surpass human error as the leading cause of data breaches.

Moreover, the capabilities of AI could enable hackers to extract data at an unprecedented rate, allowing them to “stitch together enriched identity profiles.” This raises alarms about a potential surge in identity theft. Additionally, AI could facilitate the proliferation of mutating malicious code, such as polymorphic or metamorphic malware, further complicating cybersecurity efforts.

Another significant concern is the intersection of AI and quantum computing, which many experts regard as one of the most formidable cybersecurity threats in the coming years. Experian notes that quantum computing is already fueling an increase in cyberattacks and poses a risk to current encryption methods. While AI security technology currently helps thwart these threats, the report predicts that data-breach-prevention firms will need to accelerate the development of quantum-resistant solutions to stay ahead of potential fraud.

Topics
InsurTech
Agencies
Data Driven
Artificial Intelligence

By Chad Hemenway

Artificial intelligence (AI) is increasingly becoming a focal point in Experian’s annual breach forecast for 2026, significantly shaping the landscape of cyber incidents in terms of scope, frequency, and financial impact.

In the latest Data Breach Industry Forecast, AI features prominently in various predictions. Michael Bruemmer, vice president of global data breach resolution, along with Jim Steven, head of crisis & data response services in the UK, highlight the potential for agentic AI systems to be exploited by sophisticated hackers. These malicious actors could inject their AI agents to disrupt the orchestration or governance of the victim’s own AI systems.

Experian warns that such disruptions could have dire consequences, potentially impacting an organization’s operations or leading to the theft of money, goods, or sensitive information. In more severe cases, these AI agents could execute ransomware-like operations. “AI agents are the next frontier for fraud and cybercrime,” the report states, predicting that they may soon surpass human error as the leading cause of data breaches.

Moreover, the capabilities of AI could enable hackers to extract data at an unprecedented rate, allowing them to “stitch together enriched identity profiles.” This raises alarms about a potential surge in identity theft. Additionally, AI could facilitate the proliferation of mutating malicious code, such as polymorphic or metamorphic malware, further complicating cybersecurity efforts.

Another significant concern is the intersection of AI and quantum computing, which many experts regard as one of the most formidable cybersecurity threats in the coming years. Experian notes that quantum computing is already fueling an increase in cyberattacks and poses a risk to current encryption methods. While AI security technology currently helps thwart these threats, the report predicts that data-breach-prevention firms will need to accelerate the development of quantum-resistant solutions to stay ahead of potential fraud.

Topics
InsurTech
Agencies
Data Driven
Artificial Intelligence