45,000+
CVEs disclosed annually
Your Patch Program is Under Attack
The Patch Apocalypse is Here
AI has permanently transformed vulnerability discovery from an expert-driven process into an industrialized capability operating at machine speed. Ivanti Neurons for Patch Management uses Autonomous Endpoint Management to close the gap between vulnerability discovery and remediation—automatically prioritizing, deploying, and verifying patches at machine speed.
These numbers reflect today's reality—and AI is accelerating the pace.
5 days
Average time-to-exploit
89%
year-over-year rise in AI-enabled attacks
The Solution
Ivanti Neurons for Patch Management
Autonomous Endpoint Management (AEM) that detects vulnerabilities, decides what to patch, and acts—all at machine speed.
Continuous Compliance: Zero-Touch Patch Remediation
Ivanti Neurons doesn't just find vulnerabilities—it automatically remediates them based on your risk appetite. When assets drift out of compliance or miss scheduled deployments, AEM-powered remediation occurs automatically, maintaining continuous compliance without human intervention.
Autonomous Endpoint Management (AEM)
Self-protecting endpoints that discover threats, assess risk, and remediate vulnerabilities automatically. Your devices become autonomous agents that patch themselves based on your defined risk policies.
Risk-Based Prioritization
Integration with vulnerability intelligence automatically escalates business critical CVEs. When a vulnerability moves from disclosed to actively exploited, Ivanti Neurons prioritizes it immediately—no human reclassification needed.
Digital Employee Experience (DEX)
Patch without disruption. DEX monitors endpoint health and user activity, scheduling updates during low-impact windows. User sentiment surveys continuously measure device health and experience, identifying performance issues before they impact productivity. This proactive approach keeps endpoints secure and employees happy.
Universal Asset Visibility
Discover and manage every endpoint—including shadow IT, cloud workloads, mobile devices, and offline assets. Real-time inventory ensures you can patch every vulnerable device, not just the ones you know about.
Closed-Loop Verification
Automated compliance verification confirms actual patch installation and configuration state. Continuous compliance evidence is generated automatically as patches deploy—no more fire drills before audits.
Ring Deployment + Auto-Rollback
Test ring, early-adopter ring, broad production, mission-critical. The sequence is automated and instrumented. If an update causes issues, automatic rollback protects operations while you investigate.
Features and capabilities
Built for the AI-Driven Threat Landscape
Everything you need to match machine-speed vulnerability discovery with machine-speed remediation.
Productivity-Aware Patch Orchestration
Schedule updates to minimize disruptions and maintain workforce productivity.
DEX-Informed Ring Deployments
Roll out updates in controlled rings and capture user sentiment to iterate on deployment strategies.
AI-Assisted Diagnostics and Remediation
Get ahead of downstream issues with device hygiene checks and actionable fix suggestions powered by AI.
Closed-Loop Outcomes
Tie risk-aligned patch decisions and experience outcomes back into ITSM and RBVM workflows.
Self-Healing Bots
Automate remediation of common device and application issues, improving rollout success by preventing failures like insufficient disk space.
Risk-Based Prioritization
Leverage vulnerability intelligence to focus on the most business-critical patches first, reducing exposure to threats.
Real-Time Experience Monitoring
Continuously measure digital experience scores and correlate them with patching activities.
Automated Compliance Reporting
Simplify audits with automated reports for patch compliance and experience improvements.
Vendor Firmware Automation (OOB)
Keep BIOS, drivers and firmware current, even when maintenance windows are constrained.
FAQs
What is the “patch apocalypse?”
The patch apocalypse refers to the rapid increase in publicly disclosed vulnerabilities with available patches, driven by AI‑accelerated vulnerability discovery. The volume and speed of fixes are beginning to outpace how most IT and security teams can reasonably remediate them using traditional, human‑driven workflows.
What solutions can help aid in the “patch apocalypse?”
An autonomous endpoint management (AEM) platform, with ring-based deployment and rollback, and vulnerability intelligence can provide risk-based context for efficient remediation decisions.
By adopting a risk-based patch management approach, it incorporates real-world threat context to focus on vulnerabilities that are actively being exploited. The approach goes beyond traditional vendor severity ratings and CVSS scores to identify and prioritize vulnerabilities based on their actual risk to an organization.
What’s the risk of not adapting?
AI models can identify vulnerabilities at a scale and speed humans cannot match. As attackers gain access to similar AI model capabilities, they will target newly disclosed vulnerabilities faster. Organizations relying on manual, fragmented patching processes will see increasing exposure – not because patches don’t exist, but because they can’t deploy them fast enough.
Does solely having a vulnerability scanner solve patching challenges?
No. Vulnerability scanners are essential for discovery, but they don’t deploy patches, verify installs, manage rollbacks, or close the loop. At high CVE volumes, scanners that generate long critical lists without automation behind them can actually slow remediation.
Why are ticket-based approval processes a risk now?
Linear approval workflows were designed for slower patch cycles and don’t address today’s realities. When teams already know updates will be deployed, additional approvals add delay without reducing risk. In a fast-moving threat environment, time is often the limiting factor.
Ready to Stop the Patch Apocalypse?
See how Ivanti Neurons for Patch Management can transform your vulnerability management program from reactive to autonomous.