Ammune.ai launches runtime AI governance platform to map Shadow AI

By AI, Created 8:50 AM UTC, May 25, 2026, /AGP/ – Ammune.ai on May 25, 2026 launched an AI Governance Platform designed to discover, map and monitor AI activity across enterprise environments, including unmanaged Shadow AI. The company says the platform gives security teams real-time visibility into AI-connected systems, data flows and policy violations without endpoint agents or code changes.

Why it matters: - Enterprises are adopting copilots, generative AI tools, autonomous agents, browser automations, AI SDKs and third-party LLM services faster than many security teams can track. - Hidden AI activity can expose sensitive data, create compliance gaps and connect internal systems to unmanaged external services. - Ammune.ai is pitching runtime visibility as a way to govern AI without disrupting user workflows.

What happened: - Ammune.ai on May 25, 2026 announced its AI Governance Platform. - The platform is built to discover, map, monitor and govern AI-connected activity across enterprise environments. - The launch covers unmanaged and Shadow AI systems, not just approved enterprise tools. - The company positions the product as a non-intrusive runtime discovery and governance engine.

The details: - The platform autonomously discovers AI-connected activity in real time. - The system does not require endpoint agents, code changes or user workflow modifications. - The platform continuously maps AI-connected applications, AI SDK integrations, browser-based AI usage, autonomous AI agents, AI copilots and assistants, API-to-AI communications, AI automations and workflows, external and internal LLM connectivity, and Shadow AI activity. - Runtime visibility and behavioral analysis generate a live organizational map of which AI systems are connected, who is using them, which APIs and services they access, what sensitive data is being transmitted, where behavioral anomalies appear, and where compliance or policy violations occur. - The platform classifies sensitive and regulated data flows to help align AI use with internal security policies and regulatory requirements. - Immediate alerts trigger when a new AI service or agent is discovered, unauthorized AI tools are connected, sensitive data is exposed to external AI systems, unknown AI-to-API interactions appear, or AI behavior deviates from company policy. - Yisi Gross, CEO of Ammune.ai, said many organizations lack real visibility into how AI is interacting with their environments and that the platform is meant to provide real-time runtime visibility into AI activity, Shadow AI, AI agents and AI-connected APIs. - Ammune.ai says the new governance platform extends its existing runtime API security architecture. - The company says that architecture is already deployed across enterprise, telecom, financial and government environments globally. - The platform supports on-premises, private cloud, hybrid and air-gapped deployments. - Ammune.ai says those deployment options are designed for highly regulated industries. - More information is available here. - The company also points to its LinkedIn presence at its social media page.

Between the lines: - The launch reflects a shift from policy-based AI oversight to runtime monitoring of actual behavior. - The emphasis on Shadow AI suggests organizations may have more AI usage in production than they realize. - Support for air-gapped and hybrid environments signals a focus on sectors with strict security and compliance demands.

What’s next: - Organizations adopting AI at scale may use runtime governance tools to identify unmanaged tools, monitor data movement and enforce policy in real time. - Ammune.ai will likely use the platform to deepen its presence in regulated enterprise environments. - The company’s broader market test will be whether customers adopt runtime discovery as a standard control for AI governance.