Tenable One AI Exposure adds Google Gemini support to help organizations discover, govern and reduce AI security risks.
Tenable has announced significant enhancements to its AI security capabilities within the Tenable One Exposure Management Platform. The platform, Tenable One AI Exposure, now provides expanded coverage to include Google Gemini, extending its support across major Large Language Models (LLMs) such as Anthropic Claude, OpenAI ChatGPT Enterprise, and Microsoft Copilot. This update also extends discovery to all major Model Context Protocol (MCP) deployments and AI-native Integrated Development Environment (IDE) tools, giving security teams a more complete and unified view of AI usage, the risks it introduces, and areas requiring immediate action within their environments.
The rapid adoption of Artificial Intelligence across enterprises has inadvertently created a significant 'AI exposure gap.' This gap represents a largely invisible security risk that manifests across interconnected applications, infrastructure, identities, and data. Tenable's recent findings underscore the severity of this issue, detecting a staggering 457 million AI-related security concerns across more than 7,000 organizations, averaging 62,000 exposures per organization over a 30-day period. Traditional, siloed security tools are often insufficient to address these complex AI attack paths, forcing security teams into a reactive cycle rather than enabling proactive risk reduction.
Tenable One implements a continuous discovery process for AI assets, encompassing both authorized and 'shadow AI' across endpoints, cloud infrastructures, and LLM applications. It leverages the Tenable Exposure Graph, a sophisticated data lake designed to aggregate vast volumes of security data, enabling organizations to effectively map, analyze, and preemptively prevent cyber risks. By securing the foundational environments where AI runs and hardening AI workloads before they can be exploited, Tenable One empowers organizations to achieve better visibility, contextual understanding, and control. This allows them to proactively manage AI risks, enforce usage policies, and significantly reduce cyber exposures associated with AI deployment.
As part of its enhanced capabilities, Tenable One now offers comprehensive visibility and governance specifically for Google Gemini. This includes detailed monitoring of user interactions and prompt responses within Gemini, robust enforcement of organizational security policies, and the precise detection of malicious activities or any inappropriate usage patterns. This ensures that the use of Google Gemini aligns with an organization's security posture and compliance requirements.
Tenable One has significantly broadened its scope of AI visibility, effectively doubling its coverage of both sanctioned and unsanctioned AI instances. The platform now supports a wider array of technologies, including Model Context Protocols (MCPs) and various AI-native Integrated Development Environments (IDEs) such as Cursor, Windsurf, and Trae. Furthermore, it extends its discovery capabilities to cover a broader range of AI-enabled browser extensions, providing a more exhaustive inventory of AI tools present and active within an enterprise's digital footprint.
To facilitate faster and more efficient incident response, Tenable One introduces operationalized remediation workflows. Organizations can now create security tickets directly within their existing IT service management platforms, such as Jira and ServiceNow. Additionally, the platform enables automated alerting for users regarding policy violations, delivering notifications through channels like email, Slack, or Microsoft Teams. These integrations streamline the process of addressing identified AI security risks, moving from detection to resolution with greater speed and coordination.
Tenable One integrates two distinct, yet complementary, AI capabilities to address the multifaceted challenges of AI security. Tenable AI Exposure is designed to help organizations discover, assess, and secure how AI is being utilized across their entire environment, focusing on managing the risks inherent in AI adoption. Conversely, Tenable Hexa AI functions as the platform's agentic engine, employing AI to orchestrate security agents, automate routine security tasks, and accelerate remediation efforts. Together, these two capabilities advance Tenable’s preemptive security strategy, allowing organizations to both reduce AI-related risks and act on broader cyber exposures more efficiently.