Tenable One AI Exposure Enhances Visibility and Governance for AI Risks
- Securityish
- AI & Future Technology
Quick Summary
Tenable has launched Tenable One AI Exposure, a platform designed to unify AI protection and governance across enterprises. This new capability addresses the ‘AI Exposure Gap’ by providing continuous discovery of AI across various environments, including SaaS and cloud services. It aims to enhance visibility into AI usage, helping organizations manage risks associated with AI-related vulnerabilities and misconfigurations.
The Securityish Brief
Tenable has announced the general availability of Tenable One AI Exposure, a feature of its Exposure Management Platform that focuses on managing AI-related risks. This platform addresses the ‘AI Exposure Gap,’ which refers to the lack of visibility into AI usage across applications, infrastructure, and data within organizations. Many security teams struggle to understand where AI is utilized, who has access, and how it interacts with other systems.
The release of Tenable One AI Exposure allows organizations to continuously discover both sanctioned and shadow AI across internal and external environments, including applications, workloads, APIs, and agents. This capability provides a comprehensive view of AI operations and the associated risks, enabling security teams to prioritize their efforts based on real business impact.
Enhanced AI Risk Management Capabilities
With Tenable One AI Exposure, organizations can gain contextualized insights into AI usage and its connections to infrastructure, identity, and data. This helps in identifying potential AI attack paths and reducing AI risks through remediation of misconfigurations and enforcement of acceptable-use policies. The platform also generates audit-ready evidence to support governance and compliance efforts.
Eric Doerr, Chief Product Officer at Tenable, emphasized that this new feature integrates AI exposure into a unified operational model for cyber risk management. By connecting AI risks to broader business risks, Tenable aims to provide security leaders with the visibility and context needed for proactive defense.
- Unified AI visibility: Continuously discover sanctioned and shadow AI across internal, cloud and external environments.
- Contextualized exposure insight: Correlate AI usage with infrastructure, identity, and data to reveal how exposure is created.
- Actionable exposure reduction and governance: Remediate misconfigurations and enforce AI acceptable-use policies.
Key Takeaways
- Regularly monitor AI usage within your organization to identify any unauthorized or shadow AI applications.
- Implement and enforce acceptable-use policies for AI to mitigate risks associated with misconfigurations.
- Conduct audits of AI-related systems to ensure compliance with governance standards.
- Utilize tools that provide visibility into AI operations to better understand potential exposure points.
- Stay informed about updates to AI risk management platforms like Tenable One to leverage new capabilities.
Key Terms & Concepts
- AI Exposure Gap: In this article, the AI Exposure Gap refers to the lack of visibility into how AI is used across an organization.
- Tenable One AI Exposure: Tenable One AI Exposure is a platform feature that helps organizations manage AI-related risks through continuous discovery and governance.
- Unified operational model: A unified operational model integrates various aspects of cyber risk management, including AI exposure, into a single framework.
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