Zenity Introduces Continuous Security Framework for AI Agents
Event summary
- Zenity announced continuous, contextual security for AI agents at the RSA Conference on March 23, 2026.
- The new approach enables real-time risk identification and response for evolving AI agent behaviors.
- Zenity's solution unifies posture, runtime behavior, and threat signals into a real-time risk view.
- The platform detects multi-step threats like prompt injection and data exfiltration across interactions.
The big picture
Zenity's announcement marks a shift from static to dynamic AI security, addressing the limitations of snapshot monitoring in an era of evolving agent behaviors. This aligns with Gartner's vision of 'Guardian Agents,' positioning Zenity as a potential standard-bearer for real-time AI risk management. The solution's ability to correlate posture, runtime, and environmental signals could redefine enterprise AI security architectures.
What we're watching
- Adoption Pace
- How quickly enterprises will integrate continuous security for AI agents into their governance frameworks.
- Competitive Response
- Whether legacy and startup security providers will adapt to real-time, stateful threat detection.
- Regulatory Alignment
- The extent to which Zenity's approach will influence emerging AI governance standards.
Related topics