Named the Company to Beat in AI Agent Governance
Zenity’s purpose-built agentic-centric architecture, intent-aware detection, and continued end-user interest put it at the forefront of the AI agent governance race. This page explains what that means for your security program.
The Company to Beat
Purpose-built for AI agents
Zenity’s platform was architected specifically for the security challenges AI agents introduce — covering SaaS-managed, custom-built, and device-based agents across the full deployment life cycle, including MCP and A2A interactions.
Intent-aware detection
The Clarity Agent monitors execution in real time, analyzing tool calls, memory access, and data usage patterns to understand whether an agent is behaving consistently with its intended purpose.
Shadow AI discovery
Proactive enforcement across citizen developer ecosystems — discovering and governing AI agents built without security’s knowledge across Copilot Studio, Agentforce, Bedrock, and Azure AI Foundry.
Research and community leadership
Zenity Labs contributes foundational research to OWASP top 10 frameworks and MITRE ATLAS. The team’s discovery of indirect prompt injection attacks on enterprise Copilot is a foundational reference for the field.
Two Years. The Same Verdict.
What Gartner Found
Full Life-cycle Security for AI Agents
From discovering agents you didn’t know existed to stopping attacks at runtime across every environment where your agents live.
AI Observability
Automated discovery and continuous inventory of all AI agents across SaaS platforms, homegrown systems, and endpoint environments, with full context on ownership, permissions, and runtime behavior.
AI Security Posture Management
Proactive policy enforcement across agent configurations, permissions, tool access, and memory, applied before deployment to reduce exposure before agents reach runtime.
AI Detection & Response
Intent-aware runtime enforcement. Correlates agent behavior against intended purpose, surfacing manipulation attempts, data leakage, and unauthorized actions with full execution context.
Read the Full Gartner Analysis
What Security Teams See in Production
From Fortune 20 technology companies to Fortune 50 financial services firms, results when AI agent security moves from reactive to proactive.
Vulnerabilities remediated within 4 months — Fortune 20 Technology
Reduction in security violations — Fortune 200 Consulting
High-risk violations auto-remediated — Fortune 200 Consulting
Risk reduction across 150K+ resources — Fortune 50 Financial Services
Vulnerabilities remediated within 4 months — Fortune 20 Technology
Reduction in security violations — Fortune 200 Consulting
High-risk violations auto-remediated — Fortune 200 Consulting
Risk reduction across 150K+ resources — Fortune 50 Financial Services
Vulnerabilities remediated within 4 months — Fortune 20 Technology
Reduction in security violations — Fortune 200 Consulting
High-risk violations auto-remediated — Fortune 200 Consulting
Risk reduction across 150K+ resources — Fortune 50 Financial Services
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Secure Your Agents
We’d love to chat with you about how your team can secure and govern AI Agents everywhere.
Get a Demo