Corelight Leverages Generative AI for Enhanced Threat Detection

In a recent address, Corelight CEO Brian Dye highlighted the growing trend of attackers leveraging generative AI to execute advanced tactics historically reserved for elite hackers. Techniques such as lateral movement and living off the land are now becoming more accessible to mid-tier attackers, a development that Dye believes democratizes these once-complex strategies.

Corelight, based in San Francisco, has harnessed generative AI to enhance its services, particularly through the natural language translation of security alerts. Dye noted that this feature allows analysts, regardless of their technical expertise, to comprehend security incidents more effectively. The platform also includes capabilities for payload summarization and investigation guidance, empowering junior analysts to perform their duties with greater confidence and efficiency.

“What we view as significant challenges for our clients, such as lateral movement and the exploitation of system resources, were once the domain of highly skilled adversaries,” stated Dye. “Today, generative AI is streamlining these approaches, enabling broader access to these techniques among attackers not traditionally associated with such skills.”

In a video interview with Information Security Media Group, Dye elaborated on various topics, including the integration of endpoint and vulnerability context into network telemetry, the application of YARA for static file analysis, and the regulatory complexities faced in the financial services sector coupled with generative AI customization.

Dye brings a wealth of experience in infrastructure and information security, having joined Corelight in 2018 after serving as executive vice president of the Corporate Products Group at McAfee. His background also includes leadership roles at Citrix and an extensive tenure at Symantec, marking him as a notable figure in the cybersecurity landscape.