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Help Net Security

Police arrest 10 suspected members of Black Axe cybercrime gang ShinyHunters claims it stole 1.4 million records from Udemy Sevii unveils Cyber Swarm Defense Mode to stop AI-driven attacks at scale Alleged Chinese hacker extradited to US over cyberattacks targeting COVID-19 research Cequence Agent Personas bring granular control and governance to enterprise AI agents NowSecure MARI gives enterprises evidence-based visibility into third-party mobile app risk The metrics killing your SOC, and what to use instead US state privacy fines reached $3.425 billion in 2025 Canada’s first SMS blaster case leads to three arrests Linux storage management tool Stratis 3.9.0 adds online encryption and cache-less pool startup TLS Connect gives SMBs a right-sized automated tool to manage TLS certificates Aptori expands its platform with autonomous offensive testing to reduce security bottlenecks Your IAM was built for humans, AI agents don’t care The AI criminal mastermind is already hiring on gig platforms 25 open-source cybersecurity tools that don’t care about your budget Product showcase: LuLu reveals unauthorized outbound connections from Mac apps Week in review: Claude Mythos finds 271 Firefox flaws, Vercel breach Users advised to drop passwords and make room for passkeys - 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Microsoft Defender Vulnerability Management gets a smarter exposure score
Anamarija Pogorelec · 2026-06-01 · via Help Net Security

Microsoft Defender Vulnerability Management’s updated exposure score model adds vulnerability risk signals and asset context to help teams understand where risk is concentrated and which remediation actions are likely to have the greatest impact. The model is available in public preview.

Microsoft Defender exposure score

“The updated model addresses these customer pain points by combining vulnerability risk, exploitability signals, and asset context into a more representative exposure score. The goal is to help security teams move from a score that explains ‘how severe are the vulnerabilities?’ to a score that helps answer ‘where should we focus remediation first, and why?’,” Moti Bani, Senior Product Manager at Microsoft, explained.

Changes to the exposure score model

Instead of relying primarily on CVSS severity, the updated model uses multiple vulnerability risk signals to assess CVE risk. One of the signals used to estimate exploitation likelihood is the Exploit Prediction Scoring System (EPSS).

CVSS (Common Vulnerability Scoring System) measures the severity of a security vulnerability. EPSS, a machine learning model, estimates the likelihood that a published CVE will be exploited in the wild within the next 30 days.

To improve scoring consistency, the model uses normalized CVE data from multiple vulnerability sources. This allows the score to better reflect which vulnerabilities are more likely to be exploited.

The asset exposure score now reflects all vulnerabilities affecting a device, with each weighted according to vulnerability risk and asset context.

This gives security teams a more complete view of device exposure. Remediation work performed on a device also contributes more directly to exposure reduction.

The model incorporates asset context, including whether a device is internet-facing and its criticality level. This helps prioritize vulnerabilities on assets that carry greater business or exposure risk. For example, the same vulnerability may require a different response depending on whether it affects an exposed or business-critical device.

To better connect organizational posture with the assets and vulnerabilities contributing to risk, the organization-level exposure score is derived from individual asset scores. This provides a more representative view of vulnerability exposure throughout the environment.

Microsoft also uses asset-CVE-level data to calculate remediation impact. This improves the relationship between the predicted impact shown in recommendations and the score changes expected after remediation is completed. The updated calculations are reflected in the product, making score impact easier to understand and track.

What customers can expect

When the updated model is enabled, scores may change because of the revised calculation methodology. A higher or lower score does not necessarily indicate a change in security posture or the presence of new vulnerabilities.

The updated score should be treated as a new baseline because it is not directly comparable to the previous version.

Recommendations may be reprioritized based on recalculated impact values.

Exposure scores are updated daily, and remediation changes may take up to 24 hours to appear. Score bands remain unchanged: low (0–29), medium (30–69), and high (70–100).