Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI agents are tireless, highly capable, eager to please, but difficult to manage. George Chamales (CriticalSec) and Josh Rector (Ace of Cloud) unpack the identity and access challenges posed by agentic AI. How do you verify it was the right agent, doing the right action, approved by the right person? How do we bound, constrain, govern agentic behavior? Ultimately, the same frameworks built for human identity and access should be applied to agents.

One AI agent didn’t have permission to fix an issue… so it asked another agent with access to do it. Another? It rewrote the security policy to achieve its goal. This isn’t theory. This is happening. George_Kurtz sat down with DivesTech to discuss why AI needs guardrails.

People are installing powerful AI agents on everyday laptops without realising those tools can access files, emails and operating system functions. Once prompt injected, that agent can behave like a malicious version of its user, which turns convenience into a direct path for deletion, exfiltration and loss of control.

A threat actor reportedly used a prompt injected AI model under the cover of a fake bug bounty story to help compromise government systems and extract large volumes of data. The case shows how jailbroken AI can become an active force multiplier for offensive operations, not merely a productivity tool.

AI adoption is happening faster than any technology cycle in history. Information security and risk management are being sacrificed for speed and every single technology revolution has followed the same pattern. In this episode of Razorwire Raw, Jim Rees draws on decades of experience through the internet boom, virtualisation revolution and cloud computing adoption to explain what's actually happening with AI right now. Each cycle has been faster than the last, and each time, security gets left behind.