Zenity Introduces the Industry's First AI Security Platform for Autonomous Agents
Recognized as a leader in AI agent security, Zenity defines the next era of AI security for autonomous and long-horizon agents with a platform that continuously understands exposure, governs AI decisions and protects against risk before actions occur
Zenity, the leader in AI agent security and governance, today announced a major expansion of its platform, making it the industry's first AI security platform for autonomous AI built around a new security architecture designed to govern AI decisions before they become enterprise actions, including those made by long-horizon agents operating autonomously across extended, multi-step workflows.
The platform adds Exposure Management and Runtime Boundaries to its existing foundation. Each new capability is built to enforce security at the decision point where an agent makes decisions, before it acts.
The first generation of enterprise AI required organizations to understand where AI was being used, who could access it, and how to govern it. Autonomous AI introduces a fundamentally different challenge. This is especially true of long-horizon agents, autonomous systems that execute extended, multi-step tasks across hours or days rather than responding to a single prompt. As these agents operate over time, risk can emerge across a sequence of individually legitimate decisions as their context, access, tools and actions evolve throughout the workflow. Today's AI agents write production code, access enterprise systems, invoke tools, handle sensitive data, and execute business workflows with increasing autonomy. As AI agents become decision makers, AI security must evolve beyond observing activity to governing actions before they occur.
