Close the exposure window before attackers find it
AI is changing how fast vulnerabilities can be found. Gartner explains why exposure management has to move from counting findings to shrinking the time exploitable exposures stay open. Get your complimentary copy of the research.
Key takeaways:
- Time is the risk metric that matters. Gartner recommends measuring how long exploitable exposures persist instead of how many critical vulnerabilities are open. It notes that inaction will push mean time to remediate beyond the 50-day average. Why it matters: An early warning system shortens that window by flagging the exposures threat actors are already targeting.
- Fragmented signals hide real attack paths. Gartner advises aggregating, normalizing and correlating exposure data across tools into one attacker-relevant view. Siloed findings that each look moderate can combine into a viable attack path. Why it matters: Unified external visibility across your attack surface, brand, dark web and supply chain turns scattered signals into a single picture of threats.
- Move from ranking findings to making decisions. Only 48% of organizations prioritize based on likelihood of active exploitation and business impact. The rest rely mainly on severity metrics like CVSS. Gartner recommends refining decisions with relevant threat intelligence and automating remediation through closed-loop workflows. Why it matters: Agentic AI-first threat intelligence connects real-world attacker activity to each exposure and starts action without waiting on manual triage.
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Download the Gartner researchGartner, Modernize Exposure Management to Counter AI-Augmented Vulnerability Discovery, Mitchell Schneider, Jonathan Nunez, 24 September 2026. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
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