Zenity Highlights Need for Runtime Context in AI Agent Security

According to a recent LinkedIn post from Zenity, the company is emphasizing what it describes as a security gap in current approaches to AI agent governance. The post contrasts traditional identity and authorization controls with the need to understand real-time behavior and context of AI agents.

The post highlights that, in Zenity’s view, identity systems indicate who accessed a system but not whether an AI agent’s actions were appropriate or aligned with intent. It suggests security teams should focus on runtime insights such as what the agent did, how its behavior evolved during a session, and whether its actions matched the intended purpose.

This framing positions Zenity around the emerging niche of AI agent runtime security and governance, a segment that could see growing demand as enterprises scale AI deployments. For investors, the emphasis on contextual, behavior-based oversight may signal product focus and differentiation in AI security, potentially influencing Zenity’s competitive standing as regulatory and risk-management pressures increase.