Tenable has expanded the AI security capabilities of its Tenable One Exposure Management Platform by adding support for Google Gemini and extending visibility across Model Context Protocol (MCP) deployments and AI-native development tools. The latest enhancements help organizations discover, govern, and reduce AI-related cyber risks across enterprise environments as AI adoption continues to accelerate.
Quick Intel
Tenable has announced new AI security capabilities for the Tenable One Exposure Management Platform, strengthening its ability to secure enterprise AI environments.
The latest release adds support for Google Gemini while extending AI discovery to Model Context Protocol (MCP) deployments and AI-native integrated development environments (IDEs), providing security teams with broader visibility into AI adoption and associated cyber risks.
According to Tenable, rapid enterprise AI adoption has created a significant AI exposure gap across applications, infrastructure, identities, and data.
The company reported detecting 457 million AI-related security issues across more than 7,000 organizations, averaging approximately 62,000 AI exposures per organization over a 30-day period.
Tenable says traditional security tools often fail to provide visibility into AI-specific attack paths, limiting organizations' ability to proactively manage emerging AI risks.
With the latest update, Tenable One AI Exposure now supports the major enterprise large language models (LLMs), including:
The platform continuously discovers authorized and shadow AI deployments across endpoints, cloud infrastructure, and enterprise AI applications while maintaining a centralized inventory through the Tenable Exposure Graph.
The latest release introduces several new capabilities designed to improve AI governance and operational security:
These enhancements provide organizations with greater visibility into AI usage while simplifying policy enforcement and incident response.
Tenable distinguishes between two complementary capabilities within its platform.
Tenable AI Exposure focuses on identifying, assessing, and securing enterprise AI usage, while Tenable Hexa AI serves as the platform's agentic engine, automating security operations, coordinating AI agents, and accelerating remediation activities.
Together, these capabilities support Tenable's strategy of helping organizations proactively reduce AI-related cyber exposure while improving overall security operations.
“The massive volume of AI exposures confirms the operational reality that authorized and unauthorized AI is deployed faster than security teams can govern it,” said Eric Doerr, Chief Product Officer, Tenable. “There’s no denying that AI attack surfaces are making defenders’ jobs even harder, and legacy or siloed cybersecurity tools simply don’t cut it. With today’s expansion to include Google Gemini, MCP and AI-native IDE deployments, Tenable is the only exposure management platform delivering unified AI visibility and governance across all major LLMs, software, and tools.”
The enhanced AI Exposure capabilities are available within the Tenable One Exposure Management Platform and will be showcased during Black Hat USA 2026.
About Tenable
Tenable® is the exposure management company, exposing and closing the cybersecurity gaps that erode business value, reputation and trust. The company’s AI-powered exposure management platform radically unifies security visibility, insight and action across the attack surface, equipping modern organizations to protect against attacks from IT infrastructure to cloud environments to critical infrastructure and everywhere in between. By protecting enterprises from security exposure, Tenable reduces business risk for over 40,000 customers around the globe. Learn more at tenable.com.
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