Ammune.ai, a leader in runtime API security and AI protection, announced the launch of its new AI Governance Platform, designed to help organizations discover, map, monitor, and govern all AI-connected activity across the enterprise — including unmanaged and “Shadow AI” systems.

As enterprises rapidly adopt AI copilots, generative AI platforms, autonomous agents, browser automations, AI SDKs, and third-party LLM services, most organizations no longer have visibility into how AI is interacting with their internal systems, APIs, applications, and sensitive data.

Today, security and compliance teams often rely on policies, questionnaires, or manual declarations to understand AI usage. However, these approaches fail to identify Shadow AI — unauthorized or unmanaged AI activity operating outside traditional governance controls.

Ammune.ai addresses this challenge with a completely new approach: a non-intrusive runtime AI discovery and governance engine capable of autonomously discovering and mapping all AI-connected activity in real time without requiring intrusive endpoint agents, code changes, or modifications to user workflows.

“Most organizations currently have no real visibility into how AI is interacting with their environments,” said Yisi Gross, CEO of Ammune.ai. “AI adoption is happening faster than governance and security teams can track. Companies cannot protect what they cannot see. Ammune.ai was built to provide real-time runtime visibility into all AI activity, Shadow AI, AI agents, and AI-connected APIs across the enterprise.”

The new AI Governance Platform extends Ammune.ai’s existing runtime API security architecture already deployed across enterprise, telecom, financial, and gvernment environments globally.

The platform supports deployments across on-premises, private cloud, hybrid, and air-gapped environments designed for highly regulated industries.