As enterprises transition from simple AI search tools to fully autonomous agents making high-stakes decisions, we face a massive security blind spot: traditional IT tools only monitor the network and transport layers, telling us what an agent did but completely failing to explain why it made that decision.

In this episode, we dive into Systemores AI Agent Auditor, the first platform engineered to map and test the "behavioral layer" of AI. We discuss how the system translates plain-text prompt guidelines into a mathematical profile across 21 behavioral dimensions using Henry Murray’s Needs-Press psychometric model. Tune in to explore the real-world chaos of "persona drift" and adversarial jailbreaks, how agents can expose companies to severe legal liabilities under frameworks like the EEOC and ECOA, and how developers can build an automated behavioral firewall directly into their deployment pipelines using the Model Context Protocol (MCP). Learn more by visiting audit.systemores.com