Virtue AI Launches Shadow AI to Detect Unapproved Enterprise Agents

Jun 24, 2026
Virtue AI has introduced Shadow AI, a new extension of its AgentSuite-Blue platform that identifies and monitors unauthorized AI tools and agents across enterprise systems to reduce security risks.

Virtue AI has introduced Shadow AI, a new extension of its AgentSuite-Blue platform that identifies and monitors unauthorized AI tools and agents within enterprise environments, announced in a press release.

Shadow AI provides discovery and monitoring capabilities across endpoints to locate AI agents operating on laptops, SaaS platforms, extensions, and applications. The system tracks agent behavior, permissions, and network activity, helping security teams detect unapproved tools and assess their actions.

The platform records full behavioral sequences of agents, including process activity, network connections, and file changes, allowing teams to trace actions and investigate potential policy violations. Shadow AI integrates with existing security tools such as CrowdStrike Falcon, Microsoft Defender, and ServiceNow Now Assist to provide a unified operational view.

Virtue AI states that Shadow AI helps enterprises gain visibility into hidden AI usage, accelerate investigations, and maintain compliance with internal security policies.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Cybersecurity AI Weekly, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Cybersecurity AI Enterprise AI AI Brief AI Brief (X)
Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.