Organizations are becoming more concerned about AI governance as employee adoption of AI tools frequently surpasses the creation of policies to manage their safe use This article explores releasing tenable ai. . Policing "shadow AI" and limiting the use of corporate data to train AI models are major issues.

As part of its cloud-native Tenable One exposure management portfolio, Tenable responded to these worries by releasing Tenable One AI Exposure, which is designed to identify, map, and regulate the use of agentic and generative artificial intelligence (AI) platforms throughout all enterprise infrastructure, including cloud services and SaaS applications. The add-on, which was first shown in a preview last year, is intended to identify instances in which staff members use unapproved AI tools or participate in activities that could result in data leakage.

Additionally, it links enterprise infrastructure, identity, and data with the use of AI platforms, agents, libraries, and workflows. It is intended to enforce organization-wide AI usage policies. "These all-inclusive solutions, which frequently make use of a shared remediation workflow, should address GenAI/Agentic AI as a significant new attack surface."

Related: LevelBlue Plans to Purchase an XDR Provider The Cybereason CrowdStrike, Rapid7, and Wiz are some of Tenable's rivals that have started concentrating on securing AI use. CrowdStrike's exposure management suite now includes an AI discovery feature that finds and tracks AI components, such as browser-based co-pilots and locally hosted or containerized LLMs.

Wiz recently added visibility and remediation for Agentic AI infrastructure to its exposure solutions, while Rapid7 last year added Agentic AI Patrol to its Exposure Command platform, a feature intended to detect and fix AI infrastructure. According to Braunberg, Wiz's new features are directly incorporated into its larger CNAPP platform and AI Security Posture Management (AI-SPM).