As generative AI tools continue to spread across the enterprise, so do the risks - from data leakage to prompt injection to unauthorized use of third-party AI platforms. Most security teams have little visibility into how these tools are used, and even less control.
Tenable’s new AI Exposure solution aims to change that.
Part of the broader
Tenable One platform, AI Exposure introduces an end-to-end approach to AI risk management that extends beyond shadow AI discovery or posture checks. It’s built to help organizations detect real-world threats, enforce governance, and manage risk as generative AI becomes more deeply embedded in how work gets done.
From Discovery to Enforcement
Unlike point solutions that stop at identifying unauthorized AI usage or misconfigured integrations, Tenable AI Exposure tracks the full lifecycle of AI activity across the enterprise. It monitors how tools like ChatGPT Enterprise and Microsoft Copilot are accessed, what kind of data is flowing through them, and whether those behaviors introduce risk.
"Tenable AI Exposure goes beyond discovery and posture management to deliver comprehensive visibility, protection, and control across the entire AI lifecycle - from enterprise usage to model development,”
Eric Doerr, chief product officer at Tenable told MSSP Alert. "While many AI security tools focus on shadow AI or misconfigurations in isolation, Tenable provides an integrated approach through Tenable One.”
This includes detecting prompt injections, jailbreaks, and other AI-specific attacks, as well as identifying unsafe API connections or tools that don’t meet internal policy requirements. The system also flags both sanctioned and unsanctioned usage and gives teams tools to govern how AI is used, without needing to build a separate enforcement layer from scratch.
“With Tenable, organizations can secure the AI they use and the AI they build,” Doerr added.
Integration with Tenable One
AI Exposure isn’t a bolt-on. It’s designed to work within the Tenable One framework and plug directly into the company’s Exposure Data Fabric, a cloud-native foundation that connects internal and third-party data to create a unified view of risk across environments.
"Tenable AI Exposure will integrate seamlessly into the Tenable One platform through our scalable, cloud-native
Tenable Exposure Data Fabric,” Doerr explained. “This foundational layer ingests, normalizes, and connects both proprietary and third-party data across your security ecosystem, enabling a unified, contextual view of all exposures, including those introduced by AI platforms.”
For existing Tenable customers, this means AI risks will be reflected alongside traditional vulnerability, cloud, and identity exposures. Policy enforcement and risk scoring will align with the broader threat model, giving security teams a consistent way to prioritize what matters, whether the issue stems from a legacy server, a misconfigured IAM role, or an unsanctioned Copilot integration.
“Tenable One enables security teams to consistently prioritize and remediate risks based on real-world threat context across domains, from vulnerabilities, cloud misconfigurations, identities, and soon AI environments,” Doerr said.
