Gartner 2025 Report Positions Tenable Among Leaders in AI-Powered Exposure Management
6 / Şubat / 26
Tenable, a global cybersecurity company, has been recognized among the leading vendors in AI-powered exposure management in the 2025 Gartner report. The report, titled “AI Vendor Race: Tenable Is the Company to Beat for AI-Powered Exposure Assessment,” highlights the company’s AI-driven approach to exposure analysis and risk prioritization.
According to the Gartner 2025 report, Tenable combines its deep expertise in vulnerability management with asset and attack surface discovery, third-party telemetry integrations, and AI-powered risk prioritization capabilities. This integrated approach enables organizations to assess not only individual vulnerabilities but also the interconnected risk relationships across their entire attack surface.
Why AI-Powered Exposure Management Has Become Critical
As enterprise environments expand with cloud services, SaaS platforms, APIs, IoT systems, and AI tools, the attack surface continues to grow at an accelerated pace. This expansion requires a modern Exposure Management platform that goes beyond traditional security practices.
AI-powered exposure management analyzes asset and risk data from multiple sources in contextual alignment, helping security teams identify and prioritize the most critical threats. As emphasized in the Gartner 2025 report, risk assessment must be contextual—not merely numerical—to effectively reduce cyber exposure.
Tenable One AI Enables Advanced Attack Path Analysis
Tenable One leverages advanced AI-driven analytics to visualize complex attack paths across enterprise environments. The platform evaluates key parameters such as asset criticality, vulnerability severity, business impact, and exploit likelihood to deliver more accurate and actionable risk prioritization.
In addition, the integration of third-party telemetry data allows the Exposure Management platform to establish cross-domain context. This comprehensive visibility empowers security teams to make faster, data-driven decisions and streamline remediation workflows.
Securing AI Assets with AI Exposure Management
The growing adoption of generative AI and autonomous agents within enterprise infrastructures introduces new security challenges. Shadow AI deployments, misconfigured models, and uncontrolled data flows can significantly increase exposure risk.
Tenable’s AI Exposure Management approach enables organizations to discover, secure, and govern AI assets as part of a broader exposure management strategy. By treating AI-generated risks as an integral component of overall cyber exposure, organizations can strengthen resilience across digital ecosystems.
Commenting on the topic, Vlad Korsunsky noted that organizations must both leverage AI in defense strategies and proactively secure their AI systems against emerging threats.
Tenable One supports centralized and continuous monitoring of exposure risks across SaaS platforms, cloud services, APIs, and AI agents. This risk-based architecture enables security teams to focus on the most critical threats and improve overall cyber risk posture.
