Securing Generative AI Across the Enterprise with Tenable AI Exposure

Managing AI Risks as Generative AI Tools Become Commonplace

Generative AI tools like ChatGPT Enterprise and Microsoft Copilot are increasingly integrated into daily business operations. While they offer efficiency gains, they also introduce new security challenges. From data leakage and prompt injection to unauthorized use of third-party AI platforms, many security teams struggle to gain visibility or control over how these tools are deployed.

Tenable’s new AI Exposure solution addresses these concerns by providing organizations a way to detect AI-related threats, enforce governance, and manage risk effectively as AI tools become a core part of enterprise workflows.

Part of the Broader Tenable One Platform

AI Exposure is not just a discovery tool. It delivers an end-to-end approach to managing AI risks that goes beyond spotting shadow AI or checking AI posture. It helps organizations monitor real-world threats continuously and enforce policies consistently as generative AI usage grows.

From Discovery to Enforcement

Many existing solutions identify unauthorized AI usage or misconfigurations but stop there. Tenable AI Exposure tracks the full lifecycle of AI activity across the enterprise environment. It monitors who accesses AI tools, what data flows through them, and whether those interactions introduce security risks.

• Detects prompt injections, jailbreaks, and AI-specific attacks
• Identifies unsafe API connections and non-compliant tools
• Flags both sanctioned and unsanctioned AI use
• Provides governance tools so teams can control AI usage without building enforcement from scratch

This comprehensive visibility and control cover everything from enterprise usage to AI model development, giving organizations a clearer picture of their AI exposure.

Seamless Integration with Tenable One

AI Exposure is built to integrate fully within the existing Tenable One platform. It plugs into the Tenable Exposure Data Fabric, a cloud-native foundation that connects internal and third-party data streams. This unified view helps security teams see all exposures in one place, including those introduced by AI platforms.

For organizations already using Tenable, AI risks will appear alongside traditional vulnerabilities, cloud misconfigurations, and identity exposures. This alignment allows teams to prioritize and remediate risks consistently, whether they come from legacy systems or new AI tools.

Policy enforcement and risk scoring for AI fit into the broader security context, making it easier to manage and reduce the overall attack surface.

Practical Takeaways for Management

• Visibility: Gain clear insight into how AI tools are used across your enterprise.
• Risk Detection: Identify and respond to AI-specific threats like prompt injection or unauthorized API access.
• Governance: Enforce policies around AI usage without building separate systems.
• Unified Risk Management: Combine AI risk data with existing security exposures for better prioritization.

As generative AI continues to embed itself in work processes, organizations need security solutions that keep pace. Tenable AI Exposure offers a practical approach to managing those risks comprehensively and efficiently.

For those interested in expanding their knowledge on AI tools and security, consider exploring Complete AI Training's latest AI courses to stay informed on best practices and emerging risks.