Gartner names Tenable the company to beat in AI exposure
Exposure assessment platforms (EAPs) are the flagship solution of the modern cybersecurity era. And Gartner recently named Tenable the "company to beat" in this forward-looking fleet.
In their recent publication, "AI Vendor Race: Tenable Is the Company to Beat for AI-Powered Exposure Management," (accessible to Gartner clients only), Gartner noted that:
"Tenable's asset and attack surface coverage, its application of AI and its reputation for vulnerability assessment makes it the front-runner in AI-powered exposure assessment."
Leadership in the AI-powered exposure assessment space is no small feat. Competitors included top-tier contenders like Qualys, Rapid7, Palo Alto Networks, and Microsoft.
This article will explain what it takes to helm the industry in exposure management, how Tenable's AI-powered offering came out ahead, and what prospects should be looking for when seeking to up their EAP investments.
Exposure assessment? Meet exposure management
The two are nearly interchangeable, but there is a key difference between exposure assessment and exposure management. Hint: it's in the last word.
Exposure assessment platforms are Gartner's term for the category. Tenable bridges Gartner's emerging moniker with its own established in-house exposure management strategy - which does what EAPs do and more.
Exposure assessment platforms prioritise exploitable risk and validate findings to determine which threats are the most important.
Exposure management (EM) platforms do the complete end-to-end job: discovering assets, uncovering vulnerabilities, prioritising and validating (just like EAPs), and then mobilising response to reduce risk.
EM includes the entire end-to-end process (something Gartner refers to as Continuous Threat Exposure Management or CTEM):
- Scoping the attack surface
- Discovering assets and weaknesses
- Prioritising based on exploitable risk
- Validating by testing exploitability
- Mobilising response to reduce risk
EAPs typically handle steps 3-4.
By reaching back and pushing ahead in the exposure lifecycle, Tenable moves the needle forward.
Unified attack surface visibility
Another way Tenable comes out ahead is by offering continuous discovery across IT, cloud, identity, and external attack surfaces.
Tenable One exposure management platform allows you to create a single, unified view of your attack surface: risks and assets all in one place. This means gathering telemetry from across existing sources and third-part integrations such as:
- Vulnerability management
- Cloud security
- Endpoint security
- Operational Technology (OT)
- Internet of Things (IoT)
- Application Security
- CMDD
And more, with the added context of native Tenable findings. This holistic, attack-surface-wide view enables teams to:
- Centrally manage risk: By eliminating tool sprawl, siloes, and coverage gaps. Teams can leverage the full power of their telemetry, maximising data benefit.
- Map "toxic combinations": Native attack path analysis connects the dots to how exposures are formed. AI summarises these "toxic combinations" and delivers complex explanations and step-by-step remediation in plain language.
- Discover and secure AI: Find both sanctioned and shadow AI across the ecosystem, uncovering where it resides, how it is used, and what puts it at risk (across ecosystems, applications, APIs, agents, and workloads).
Without full visibility into all telemetries – and the relationships between them – organisations operate with blind spots and security gaps. Exposure management platforms close them.
AI-Driven risk prioritisation
Another key driver of Tenable's success is its AI-driven risk prioritisation. This AI for security feature was added to Tenable's Vulnerability Priority Rating (VPR) to provide detailed, defensible explanations of risk - not just a CVSS score.
The results are plain English threat summaries that include:
- Threat actor attribution
- Exploit trends
- Context about targeted regions and industries
- Business-critical impact
- Severity scores
As noted by Eric Doerr, chief product officer at Tenable, in an article in MSSP Alert, this AI-driven functionality "fundamentally reshapes" how security teams prioritise scarce time and resources:
"While static CVSS broadly flags 60% of CVEs as high or critical, the [AI-]enhanced VPR focuses teams on just 1.6% of vulnerabilities that represent actual business risk."
The role of Tenable One
Tenable leads out among even the top exposure assessment platforms for its ability to deliver what enterprises need to secure complex, tool-heavy, evolving environments:
- Visibility into all assets and weaknesses
- Cross-domain context across existing tool stacks
- AI-driven prioritisation based on real probability and business risk
And the ability to manage the entire exposure lifecycle, from discovery to remediation. As Gartner stated:
"Tenable is positioning its platform to become the pane of glass for all exposure data... This will result in better analysis of attack paths and more comprehensive assessment of risk exposure..."
Conclusion
As organisations transition from vulnerability management to AI-enabled exposure assessment – or exposure management – expectations change.
- Proactive risk prioritisation replaces flat CVSS-based scoring.
- Cross-domain exposure context gives SOCs the full picture.
- AI-driven visibility not only uses AI for security but secures AI.
- Remediation workflow automation turns EAP findings into EM results.
Unified exposure management across modern attack surfaces is now quickly becoming table stakes for companies looking to make it in the long run.
Tenable's EM offering allows teams to do it across the most attack surfaces, using the most third-party telemetries, and leveraging AI to achieve the most remediation benefit through automation: making it truly the company to beat.