Ep. 325 Federal Cyber Leaders Face the AI Vulnerability Wave

Today, we sat down with Snehal Attani from Horizon3.ai to discuss the impact of large language models (LLMs) like Mythos on federal cybersecurity.

He makes a range of startling statements.

First, he admits that AI tools like Mythos can find bugs in code. In fact, he claims that the effort to find it may drop to zero.

He also warns of the potential for AI-generated exploits to overwhelm security operations centers. Attani predicts a surge in vulnerabilities, what some call a Vulnpocalypse, and stresses the importance of prioritizing remediation and building muscle memory for incident response.

However, that does not mean the effort to exploit the vulnerability is also zero. Knowing vulnerability does not guarantee a successful attack.

Second, this new information can overwhelm a system administrator. His call to prioritization can yield effectiveness. He makes statements like, "The hardest part of the job is deciding what not to fix."

Finally, in a twist on the cybersecurity business, Attani admits that the attacker will get in. The best perspective is to see yourself as in the business of blast radius management.

Attani advocates focusing on core cybersecurity fundamentals and cautions against chasing headlines to avoid organizational distraction.

Connect to John Gilroy on LinkedIn https://www.linkedin.com/in/john-gilroy/