Ivanti adds forecasting tool for patch compliance gaps

Ivanti Inc. has added a predictive remediation capability to its Autonomous Endpoint Management product line, aimed at showing IT and security teams which patches are likely to miss compliance deadlines before those deadlines arrive. The company did not disclose pricing, availability timing, customer adoption figures or performance benchmarks for the new feature.

The capability runs on Ivanti Neurons, the company’s platform for endpoint management and automation. Ivanti said the tool works alongside Autonomous Patch Management, which it describes as an advance from risk-based patching toward earlier intervention in the patch cycle.

The practical claim is straightforward: instead of waiting for a patch to fall out of compliance, teams should be able to see probable failures in advance and identify the issues blocking remediation. Ivanti said predictive remediation can assess whether patch work is on track against compliance targets, surface obstacles before a service-level window closes and convert a security priority into a patching action under administrator-defined controls.

The release targets a familiar enterprise security problem. Ivanti said patch volumes are increasing, AI is accelerating the discovery of vulnerabilities and many organizations still rely on scattered tools and incomplete data. That mix creates a backlog in which high-priority vulnerabilities can be hard to separate from lower-value work, according to the company.

Ivanti is positioning the product as part of a broader Autonomous Endpoint Management stack that brings endpoint management, digital experience monitoring and self-healing functions into one environment. The company’s stated goal is to find and fix endpoint problems before they show up as user tickets.

Governance is the main selling point

Ivanti’s AI pitch is less about fully independent agents and more about controlled automation. The company describes its platform as a system of record for IT and security teams, with Neurons using known data and acting within limits set by administrators. That distinction matters in a market where vendors often blur assisted automation with claims of autonomous infrastructure management.

Chief Executive Dennis Kozak said in the announcement that AI depends on the quality of the data behind it, and that Ivanti sees its data authority, autonomous workflows and governance as differentiators. The company did not provide third-party validation for those claims.

Paul Higdon, vice president of enterprise applications at customer experience company ResultsCX, said Ivanti’s approach lines up with his team’s use of AI and automation at scale. He said combining those functions in one platform gives his staff more confidence in work assigned to software.

The launch follows an April expansion of the Neurons platform, when Ivanti added more autonomous IT and security capabilities. Predictive remediation extends that direction into patch operations, where missed service-level commitments can translate quickly into audit findings or exploitable exposure.

For buyers, the unanswered questions are operational rather than conceptual. Ivanti has not said how accurately the system predicts missed patch deadlines, what data it requires to make those calls, or how much manual review customers should expect before remediation actions run. Those details will determine whether the feature reduces patch backlog or adds another alert stream for security teams to manage.

This story draws on original reporting from SiliconANGLE.