Ivanti is adding predictive remediation to its Autonomous Endpoint Management (AEM), built on the Neurons platform. The new features are designed to help IT and security teams predict compliance outcomes and execute patching actions through guided workflows, even before SLA windows close.
Enterprise IT and security teams are facing mounting pressure. Vulnerabilities are being detected faster, in part due to AI, and the number of patches is rising sharply. At the same time, many organizations rely on fragmented tools and disconnected data sources, which limit visibility and slow down remediation.
Ivanti addresses this with Autonomous Endpoint Management, which combines Autonomous Patch Management with predictive remediation. The goal: predict remediation gaps, prioritize the right actions, and automate routine patching workflows, with governance provided by built-in guardrails.
The announcement builds on the company’s previous move. Ivanti had already brought agentless AI to IT management with Neurons, aiming to manage, secure, and remediate endpoints end-to-end without human intervention.
Predictive remediation as the next step
According to Ivanti, predictive remediation goes beyond risk-based patching. The feature is designed to predict compliance outcomes and identify remediation bottlenecks before an SLA window closes. Security priorities are thus translated into actionable, guided patching actions.
Ivanti positions itself as the system of record for IT and security teams. The AEM solution unifies endpoint management, digital experience management, and self-healing, enabling teams to detect, assess, prioritize, and resolve issues before they impact users.