.jpg)
Zenity, the leading security and governance platform for AI agents in the enterprise, has announced continuous, contextual security for AI agents. This new approach transforms AI security from disconnected snapshot scans into continuous, real-time risk assessment, setting the foundation for Guardian Agents and enabling security teams to understand and act on evolving AI risk across the enterprise.
According to Gartner, “Guardian Agents represent the next evolution in AI governance, shifting from passive monitoring to active, real-time protection of AI systems.” Zenity’s continuous, contextual security delivers the foundational capabilities required to enable this shift.
AI agent risk does not appear in a single moment. It evolves continuously through configuration changes, runtime behavior, long-horizon tasks, and dynamic interactions between agents, users, and enterprise systems. Agents can rewrite instructions, update memory, and alter execution paths in real time, yet most existing security solutions rely on static posture scans and stateless prompt analysis that quickly become outdated.
“Enterprise AI security is breaking under the current model. Agents don’t just execute, they reason, take action and evolve. As they do, risk evolves with them, continuously across every interaction and trigger,” said Ben Kliger, CEO of Zenity. “This release sets a new standard for securing agent-driven systems. Zenity is the first platform to unify posture, runtime behavior, and threat signals into a real-time view of risk. This is the architecture required to secure AI agents at scale, and we’ve built it.”
Zenity replaces periodic posture scans with real-time, event-driven ingestion that immediately reflects changes in configuration, permissions, MCP, and connectors. Security teams now operate with current risk data instead of outdated snapshots.
The stateful threat engine analyzes complete interaction chains in real time across users, agents, and sessions. This enables detection of sophisticated attacks such as multi-step prompt injection, gradual data exfiltration, and tool misuse that might otherwise appear benign when viewed in isolation.
The Issues Correlation Agent connects posture data, runtime activity, and environmental signals into unified risk objects. This correlation helps security teams identify where exposure and active behavior intersect, allowing more accurate prioritization and faster response.
By integrating real-time exposure visibility, stateful runtime detection, and contextual risk correlation into a single unified model, Zenity moves enterprise AI security from fragmented monitoring toward intelligent, adaptive protection that understands how risk develops and evolves over time.
Zenity’s continuous, contextual security empowers security teams to confidently adopt and scale AI agents while maintaining robust defense in depth across SaaS, cloud, and endpoint environments.
About Zenity
Zenity is the first security and governance platform purpose built for AI agents spanning SaaS, home grown platforms (Cloud) and end user devices (Endpoint). Trusted by Fortune 500 enterprises, Zenity helps security teams confidently adopt AI by delivering defense in depth with full lifecycle coverage, from agent discovery and posture management to real time detection, inline prevention and response. With an agent centric approach that prioritizes how agents behave, what they access and which tools they invoke, Zenity eliminates blind spots and enforces consistent policy and controls across environments so organizations can innovate with AI without compromising security.
TechIntelPro empowers B2B technology decision-makers with the latest industry trends, deep insights, leadership perspectives and actionable intelligence to drive both organizational and professional milestones—and thrive on the tech pulse.