Gartner crowns Tenable AI exposure assessment leader

Tenable has been recognised in a Gartner report assessing vendors that offer AI-powered exposure assessment, as security suppliers compete to frame cyber risk management around assets, vulnerabilities and attack paths.

It was named in the "2025 Gartner® AI Vendor Race: Tenable Is the Company to Beat for AI-Powered Exposure Assessment", part of Gartner's broader research on security tooling and vendor positioning.

Gartner highlighted Tenable's history in vulnerability assessment and its work in asset and attack surface discovery. It also referenced support for third-party telemetry ingestion and the use of AI for analysis and prioritisation.

According to Gartner, "Tenable achieved its front-runner status in EAP by not only leveraging its long-standing dominance in vulnerability assessment but also combining its strong asset and attack surface discovery capabilities, support for third-party telemetry ingestion and AI. Tenable ingests asset and exposure data across the attack surface for cross-domain context beyond vulnerabilities and applies AI to enhance prioritisation, analyse attack paths and enable greater automation."

Exposure management

Exposure management has become a common label for platforms that combine multiple sources of security data into a consolidated view of risk. Vendors typically aim to link asset inventories with known weaknesses, configuration issues and external-facing attack surfaces to provide a prioritised view of what matters most at any moment.

Tenable described the Gartner recognition as aligned with its exposure management strategy and its approach to applying AI across risk and threat data. It positions Tenable One as the core platform for this strategy.

Tenable says it uses AI to aggregate, normalise and connect asset, exposure and threat data. It also says the platform provides analytics and remediation guidance, alongside automation features designed to focus attention on likely attacks.

Platform approach

Gartner also referenced Tenable's plans for how the platform presents exposure information, describing an effort to bring exposure data into a single view and use it to inform AI-driven risk analysis.

Gartner said, "Tenable is positioning its platform to become the pane of glass for all exposure data to better inform Tenable's AI. This will result in better analysis of attack paths and more comprehensive assessment of risk exposure to enable the orchestration of prioritised remediation workflows and mitigation actions."

The "pane of glass" framing reflects an industry push to simplify decision-making for security teams. Large organisations often run multiple tools across endpoints, cloud infrastructure and identity systems, and consolidation remains a frequent theme as leaders try to reduce duplication and improve response speed.

AI risk

Tenable also linked exposure assessment to the rapid adoption of AI systems in businesses, arguing that security teams must both use AI in defensive workflows and secure AI deployments and the infrastructure around them.

"As our world is increasingly shaped by AI, cybersecurity success belongs to organisations that proactively defend against threats at machine speed, rather than solely reacting to them," said Vlad Korsunsky, Chief Technology Officer, Tenable.

"This approach requires organisations to master two sides of the AI coin: leveraging AI for defence and securing AI from threats. We're leading on both AI frontiers, helping organisations rapidly discover and close exposure gaps wherever they exist," Korsunsky said.

Product scope

Tenable says Tenable One delivers "comprehensive AI Exposure Management", which it describes as unifying discovery, protection and governance for AI across enterprise environments.

Coverage includes SaaS platforms, cloud services, APIs and agents, and the platform is intended to provide a continuous view of risk and control for security teams.

The focus on AI-specific exposure management reflects how businesses deploy AI. Many rely on third-party SaaS features, public cloud services and internal APIs - a mix that can create new assets and data flows that security teams must catalogue and assess.

Gartner's assessment comes as security vendors broaden their claims around AI, automation and risk prioritisation. Buyers are also scrutinising how tools ingest data from other systems and whether those integrations produce usable guidance for remediation and mitigation workflows.

Tenable says it will continue developing its platform approach around unified exposure data and AI-driven prioritisation across the attack surface.