Zenity Highlights Need for Context-Aware Security in Agentic AI

According to a recent LinkedIn post from Zenity, discussions at the RSA Conference reportedly emphasized identity as a foundation for AI security but highlighted limitations when it comes to understanding AI agent behavior. The post suggests that identity and authorization indicate who accessed a system and what was permitted, but may not capture whether an agent’s actions were appropriate or aligned with its intended purpose.

Zenity’s post underscores the importance of runtime context for AI agents, including visibility into what the agent actually did, how its behavior evolved over a session, and whether those actions matched the agent’s initial objectives. For investors, this emphasis on contextual, agent-level security suggests Zenity may be positioning itself to address emerging demand in AI governance and cybersecurity, potentially expanding its relevance as enterprises deploy more autonomous and agentic AI systems.