Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Eldad Livni is the Co-Founder and Chief Innovation Officer at Torq. Prior to founding Torq, Eldad co-founded and served as CPO of Luminate Security, a pioneer in Zero Trust/SASE. Following Luminate’s acquisition by Symantec, he went on to act as CPO of Symantec’s Zero Trust/Secure Access Cloud offering. The security industry has a new buzzword problem.

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.

The regulatory landscape for AI and privacy reached a turning point in 2025. The headlines are familiar: laws multiply, consumer expectations harden, and enforcement accelerates. What is different this year is the shift from occasional audits to always-on proof. Regulators and enterprise customers want to see working controls inside your pipelines, not just policy PDFs.