Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The idea that AI agents will run security operations is becoming reality. But most platforms ignore the most important question: how do you secure the agents themselves? In this video I walk through why LimaCharlie is the most secure platform for running agentic security operations and demonstrate the architectural controls that make it possible. We look at the core mechanisms that allow AI agents to operate safely inside a SecOps environment, including.

In this week's Intel Chat, Chris Luft and Matt Bromiley discuss a design flaw in Anthropic's Model Context Protocol (MCP) that could enable large-scale supply chain attacks on agentic AI systems. Researchers at OX Security found that MCP's command execution allows malicious commands to run silently without sanitization checks or warnings.

The race for AI dominance has created a dangerous imbalance between business velocity and cyber resilience. In this episode, host Caleb Tolin is joined by ⁠Joe Hladik⁠, Head of ⁠Rubrik⁠ Zero Labs, and Staff Security Researcher ⁠Amit Malik⁠ to break down the findings of their latest report on agentic adoption. The discussion centers on the Agentic Paradox. This is the technical reality that tools designed to automate high-level tasks are inherently built to find the most efficient path around obstacles, including existing security policies.

You might have a good idea of how AI can help your business, but how can it harm your business? Catch this full episode of Data Security Decoded, featuring Ojas Rege from OneTrust, and understand why AI risk isn’t just compliance risk, but also operational and business risk. Listen and subscribe to Data Security Decoded wherever you get your podcasts.