AI Agent Security & Governance Platform
The platform purpose-built to secure the decision. Surfacing exposure, steering actions, and closing gaps, continuously.
Every Layer Feeds a Decision
An agent's decision draws on what it can reach, who it's acting for, and what it's actually trying to do, and none of that shows up in a single view point. A correctly permissioned agent can still turn into a breach. A risk that looks theoretical on paper can be sitting on a server, fully exploitable. Watching the decision means watching all of it at once, which is why the platform is built in three layers instead of one.
Purpose-built, Full-Coverage Security and Governance
An agent's decision draws on what it can reach, who it's acting for, and what it's actually trying to do, and none of that shows up in a single log. A correctly permissioned agent can still turn into a breach. A risk that looks theoretical on paper can be sitting on a server, fully exploitable. Watching the decision means watching all of it at once, which is why the platform is built in three layers instead of one.
All Platforms. Everywhere.
AI agents already span SaaS, cloud, custom stacks, and endpoints. Control gaps expand as fast as adoption.
Agentic SaaS
Secure AI Agents embedded in your productivity tools like Salesforce Agentforce or built with one like Copilot Studio - with full visibility and policy enforcement.
Traditional Tools Were Not Built with Agents in Mind
Most existing security tools, including model-focused controls and legacy platforms, were not designed to govern autonomous execution. While they remain critical for securing infrastructure, identities, and data, they lack visibility into how agents reason, chain actions, and operate across systems. Traditional tools fail because agents execute decisions, not just code paths or requests.
AppSec & DLP
Focus on inputs and outputs, not logic, memory, or the actions agents take.
EDR/XDR
Detect system-level threats, but miss mulit-step agent behavior and decision-making context.
CNAPP & CSPM
Govern cloud infrastructure, not agents running inside applications or invoking external tools.
Outcomes That Drive
Secure AI Adoption
Use Case
Enable security teams to discover and inventory agents, so they can enforce policies and reduce unmanaged risk.
Benefit
Operate with confidence; know AI agents are secure, governed, and under control.
Business Outcomes
Research and Insights Shaping the Future of AI Agent Security
Zenity Labs delivers original research, threat intelligence, and hands-on experimentation focused on the emerging risks of AI Agents. From real-world attack techniques to prompt injection patterns and policy best practices, our team explores what others haven’t so you can secure what’s next.
Ready to Secure Your AI Agents?
Join leading enterprises who trust Zenity to secure their AI agent deployments across SaaS, Cloud, and Endpoint environments.
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