Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why AI Agents are next is the biggest question in tech right now! In this breakdown, we look at how we're moving from static APIs to Agentic Interaction. While frameworks like MCP (Model Context Protocol) are gaining ground, the real challenge is creating a "Passport" system for AI agents from different companies to communicate securely. Key Insights: –Why AI Agents will replace traditional SaaS workflows.–The shift from deterministic APIs to dynamic agentic behavior.–The "AI Passport" – the missing piece for cross-company AI security.

This week on the podcast, we discuss OpenClaw, the open source chatbot that has exploded in popularity since launching late last year, and some of the risk it introduces to organizations. Before that, we chat about Ring's Super Bowl advertisement that caused a stir before ending with a Google Threat Intelligence Group report on advanced threat actor AI usage.

In this episode of Data Security Decoded, host Caleb Tolin is joined by Camille Stewart-Gloster, CEO of CAS Strategies and former Deputy National Cyber Director, to unpack how AI is redefining cyber risk at every layer of the organization. Camille explains why identity-based attacks are so effective and how non-human identities (from APIs to AI agents) are quietly expanding the attack surface. She emphasized how critical MFA is for organizations to enable as they scale up AI operations, and why conditional access and governance must be foundational, not optional.

Stop building AI agents that CISOs will never approve. If your agents are stuck in the POC (Proof of Concept) stage, it’s likely because they lack a "Passport" and a governance framework. In this clip, Arjun Subedi breaks down why "how well it works" isn't the biggest question in AI anymore—it's "how can I govern it?" Discover how mapping AGENTIC attacks to the MITRE ATT&CK framework through SafeMCP is the missing link to enterprise-level deployment.