The challenge
AI has permanently collapsed the vulnerability exploitation window from weeks to days. With 45,000-plus CVEs disclosed annually and a median time-to-exploit of just five days, traditional patch cycles guided by fragmented data and point-in-time reports cannot keep pace — and these are pre-Mythos numbers! As AI exploit frameworks like Project Glasswing and Mythos reach scale, CVE volume will increase dramatically and time to exploit will further compress. Organizations cannot patch what they cannot see, and 20–40% of assets are typically missing from the CMDB entirely. Now, a structural shift at NIST compounds the risk: The National Vulnerability Database will no longer enrich thousands of CVEs with CVSS scores or severity analysis, leaving programs that depend on NVD data with growing, uncounted blind spots. [1][2]
The solution: Autonomous Patch Management on the Ivanti Neurons Platform
Ivanti’s Autonomous Endpoint Management solution featuring autonomous patch management closes the discover-to-remediate gap by combining AI-driven intelligence with Neurons as the system of record — delivering continuous, verifiable patch compliance at machine speed across every endpoint in your environment.
Continuous asset visibility
You cannot remediate what you cannot see, and the data shows most organizations are flying blind. A staggering 73% of security leaders have experienced security incidents caused by unknown or unmanaged assets [3], and according to Verizon’s 2025 Data Breach Investigations Report, 46% of compromised devices with corporate logins were non-managed systems [4]. Neurons continuously reconciles your full endpoint inventory, managed, unmanaged, shadow IT, cloud workloads, and offline devices, establishing a single authoritative view of every asset and its patch state. No blind spots. No assumptions.
Risk-based prioritization with VRR
Not all vulnerabilities are equal and CVSS alone no longer tells the full story, especially as NIST moves away from enriching thousands of CVEs in the NVD. Meanwhile, more than 50% of CVEs have working exploits published to the dark web within 7 days of disclosure [5]. Ivanti’s Vulnerability Risk Rating (VRR) operates independently of NVD enrichment, scoring every CVE against your specific environment using real-world exploitability intelligence, active threat feeds, and expert pen-test validation. Your team focuses on the vulnerabilities that are actually exploitable, right now.
Zero-touch patch deployment
Enterprise mean time to remediate critical vulnerabilities currently averages over five months [6] — and only 16% of patches are completed within the 48-hour industry best practice window [7]. Against a five-day median time to exploit, that gap is indefensible. Autonomous patching executes across Windows, macOS, Linux, and 1,000-plus third-party applications without manual intervention. Ring-based phased rollout, digital employee experience (DEX) aware scheduling, and configurable maintenance windows ensure patches deploy safely, predictably, and without disrupting end users.
Continuous compliance & automated remediation
More than half of organizations have no processes in place for continuous monitoring [3] and less than 40% successfully remediate vulnerabilities at all, taking an average of 270 days when they do [5]. When assets drift out of compliance or miss a scheduled deployment, Neurons remediates automatically — no ticket or human handoff required. Compliance becomes a continuously enforced state, not a periodic audit exercise. Built-in rollback protects operations if a patch causes issues.
Closed-loop verification
Every patch deployment is verified. Neurons confirms actual installation and configuration state in real time, generates continuous compliance evidence as patches deploy, and surfaces any gaps immediately. Audit readiness is continuous, not a sprint before the review.
Board-ready reporting
89% of security leaders expect risk quantification for every asset [8] — yet most programs still rely on point-in-time reports that are outdated the moment they are generated. Exposure-based compliance reporting calculates time-at-risk for every update, giving IT, Security, and the Board a shared, always-current view of posture. SLA tracking, drift detection, and deployment history are available on demand, no manual reporting required.
Proven customer outcomes
|
Customer |
Result |
|---|---|
|
Chevron Federal Credit Union |
70% decrease in vulnerability exposure |
|
SCI |
~$1M saved per year |
|
Agrex Brazil |
7x increase in patches deployed per device per month [11] |
Analyst recognition
|
Analyst Firm |
Recognition |
|---|---|
|
Omdia |
Universe Leader — UEM, Q2 2025 |
|
IDC |
MarketScape Leader — Worldwide UEM 2025/26 |
|
Gartner |
MQ Visionary — DEX Tools, Q2 2025 |
|
GigaOm |
Leader and Outperformer — UEM Radar Report 2025 |
Sources
[1] NIST Revamps CVE Framework, Focus on High-Impact Vulnerabilities (darkreading.com)
[2] NIST Updates NVD Operations to Address Record CVE Growth (nist.gov)
[3] New Research Reveals Three Quarters of Cybersecurity Incidents Occur Due t… (prnewswire.com)
[4] The Vulnerability You Don’t Know You Have: Unmanaged Assets in 2026 Lanswe… (lansweeper.com)
[5] Activestate: The 2025 State of Vulnerability Management and Remediation Report (activestate.com)
[6] Enterprise Patch and Remediation Benchmark: How Does Your Organization Com… (blog.qualys.com)
[7] Speedrunning the Maze: Meeting Regulatory Patching Deadlines in a Large En… (project-theseus.nl)
[8] SANS 2025 ASM Survey: Key Insights on Attack Surface Management | Netwrix (netwrix.com)
[9] NIST admits defeat on NVD backlog, will enrich only highest-risk CVEs goin… (helpnetsecurity.com)
[10] Cloud-based Patch Management Software Solutions | Ivanti (ivanti.com)
[11] Automated Patch Management Software Solutions | Ivanti (ivanti.com)