Securing and governing AI agents is, according to Matthew Gardiner, the hardest problem in cybersecurity harder than securing the internet itself. In this episode, Matthias discusses with Matthew why, explore the six-category framework KuppingerCole Analysts has developed to address it, and dig into the first and most critical building block: AI Visibility and Observability Platforms.
Key Topics:
- Why agentic AI is harder to secure than the internet non-determinism, autonomy, and scale
- Threat actors using agents too: how the attack surface is accelerating on both sides
- The six-category security and governance framework for agentic AI crawl, walk, run
- AI Visibility and Observability Platforms: why discovery comes first and what it actually covers
- Organizational alignment: why security teams shouldn’t take the blame for every agent failure
- Authority vs. access: why what an agent can do matters more than what account it uses
🤖 “When the internet was rolled out, we had time to catch up. Agents roll into a world where businesses are already completely dependent on IT and there are hundreds or thousands of them doing different things.” Matthew Gardiner on why this time really is different.
📊 KuppingerCole Analysts’ AI Visibility and Observability Platform research is live and the AI Security Fabric is landing in days. Watch this episode, then dive into the research at kuppingercole.com.
