
Zenity is an AI agent security and governance platform for enterprise security teams. It combines agent discovery, risk assessment, and runtime policy enforcement across SaaS, cloud, and endpoint environments.
Zenity organizes protection around agent decisions. Its Surface, Enforce, and Protect layers connect discovery and exposure assessment with action controls and threat response. This brings configuration risks and runtime behavior into the same security workflow.
Teams can assess agent permissions before deployment, then apply policies during execution. Coverage includes agents in Salesforce Agentforce and Copilot Studio, plus custom agents on AWS Bedrock and Google Vertex AI.
Exposure management tests attack paths and prepares fixes for Runtime Boundaries. When planning a rollout, start with the environments your team actually uses. Ask for a demonstration of discovery, policy enforcement, and incident handling on those platforms before expanding the scope.
Use a pilot to judge inventory completeness, alert relevance, and the effort needed to maintain policies. Include legitimate tasks alongside attempted data leakage or tool misuse, then inspect both blocked actions and successful runs. Ask for customer references with a similar agent stack and security workflow. These checks help assess operational fit before a wider rollout.
Zenity does not publish standard plan prices. Book a demo to discuss your requirements and request pricing. Before budgeting, ask which environments, implementation work, and support the quote covers. Compare that scope with the agents you need to govern, rather than assuming every deployment has the same requirements.
An enterprise platform for securing AI agents, with discovery, configuration checks, exposure testing, and runtime policy enforcement.
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