Zenity Integrates with ChatGPT Enterprise Compliance API to Secure the AI Agent Boom

As ChatGPT Enterprise cements itself into the daily workflows of the Fortune 500, security leaders are racing to keep pace with a new generation of business users—not just chatting with AI, but building it. Zenity, a pioneer in AI Agent security and governance, announced a strategic integration with OpenAI’s ChatGPT Enterprise Compliance API, offering organizations a robust way to monitor, control, and secure the use of agentic AI tools inside their walls.

The integration arrives at a critical inflection point. In just nine months, more than 80% of Fortune 500 companies have adopted ChatGPT Enterprise, with use cases rapidly evolving from casual queries to complex deployments of custom GPTs. Employees are now uploading sensitive knowledge bases, collaborating through Canvas, and deploying autonomous agents that interact with enterprise systems. That evolution has turned ChatGPT Enterprise from a helpful assistant into a full-stack development and execution environment—one that security teams are only beginning to understand.

Zenity’s platform is built for exactly this frontier: AI Agents that not only generate text but act, reason, and interact with enterprise data and systems. The platform delivers end-to-end governance across the entire lifecycle of these agents—from buildtime to runtime—enabling organizations to embed security and compliance into each stage of AI adoption.

“Adoption of ChatGPT Enterprise is accelerating, and with it comes a new responsibility for security teams to guide its safe, effective use across the organization,” said Ben Kliger, Co-Founder and CEO of Zenity. “This integration with the ChatGPT Enterprise Compliance API is an important step forward in helping security leaders manage risk without slowing innovation.”

Zenity’s offering spans four core pillars:

• Continuous Observability: Zenity provides real-time visibility into custom GPTs, Canvas documents, embedded tools, uploaded knowledge files, and how users interact with them.

• Proactive Risk Prevention: Security teams can now implement policy-based controls during the development of custom agents, scanning for vulnerabilities, hardcoded secrets, and overly permissive identity access.

• Real-Time Threat Detection: With its AI Detection & Response (AIDR) engine, Zenity identifies emerging threats like prompt injection attacks, Retrieval-Augmented Generation (RAG) poisoning, and unauthorized data usage.

• Automated Policy Enforcement: With click-to-fix capabilities, enterprises can instantly shut down rogue agents, remove exposed files, or remediate risky behavior without halting productivity.

The strategic value is clear: as enterprise teams embrace increasingly powerful AI workflows, Zenity offers a rare combination of security granularity and operational agility. Unlike legacy tools that struggle with the fluid boundaries of AI Agents, Zenity’s agent-first model allows security teams to analyze what an agent is programmed to do—versus what it actually does—and reconcile the two in real time.

With this integration, Zenity positions itself as the first comprehensive AI Agent security and governance platform to extend into the ChatGPT Enterprise ecosystem, adding a vital layer of compliance-ready defense for enterprises navigating the risks of AI-enabled automation.

“Securing AI Agents for some of the largest enterprises in the world, we are proud to expand our capabilities as the first and only end-to-end platform, spanning buildtime to runtime across environments,” Kliger added. “This gives security teams the foundation they need to lead innovation in their organizations with confidence.”

As enterprises accelerate into the AI agent economy, Zenity’s move signals a broader shift: security is no longer just about protecting endpoints—it’s about protecting the decisions AI makes on behalf of your business.