Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Today, almost all organizations use AI in some way. But while it creates invaluable opportunities for innovation and efficiency, it also carries serious risks. Mitigating these risks and ensuring responsible AI adoption relies on mature AI models, guided by governance frameworks. The OWASP AI Maturity Assessment Model (AIMA) is one of the most practical. In this article, we’ll explore what it is, how it compares to other frameworks, and how organizations can use it to assess their AI maturity.

If there’s one lesson security teams should take from recent disclosures, it’s this: AI agent attack techniques don’t disappear - they resurface, across vendors and platforms, with only small variations. What researchers called out months ago is showing up again, now in Salesforce as the ForcedLeak vulnerability.

At Fal.Con 2025, I had the privilege of addressing over 8,000 cybersecurity professionals about something that’s on my mind – and should be on all of ours: how do we fundamentally reimagine security for the age of AI? We're living through the fourth industrial revolution. The first brought us steam power, the second electricity, and the third the digital age we all know and love.