Use Case
The gap between detection and resolution creates unnecessary organizational risk. Ivanti’s autonomous remediation capability closes that gap, using real-time telemetry, AI-driven decisions and self-healing bot actions to automatically resolve vulnerabilities, configuration drift and endpoint failures at scale.
IT and security teams are overwhelmed. Thousands of endpoints generate daily events: patch failures, compliance violations, misconfigurations and vulnerabilities. Manual triage doesn’t scale.
The sheer volume of continuous updates makes manual patching a monumental task. Delayed patching leaves endpoints exposed to known exploits.
Routine endpoint alerts flood the service desk, trapping highly skilled IT professionals in a cycle of reactive firefighting. Manual triage consumes resources that should be focused on strategic work.
Manual processes and complex workflows slow down response times, stretching mean time to resolution (MTTR) dangerously long. Every minute lost widens the risk window for threat actors. Ivanti can help you close that gap.
Complex IT environments are rife with hidden risks, from misconfigurations to compliance drifts. Tracking these manually is a losing battle. Ivanti enables a proactive, continuous approach to harden defenses before they can be exploited.
Organizations adopting Ivanti Autonomous Endpoint Management can reduce manual remediation effort through self-healing automation, significantly decrease endpoint incidents before tickets are created, move from point-in-time compliance checks to continuous compliance enforcement, and reduce vulnerability exposure windows from weeks to hours through risk-based autonomous patching.
Utilizing predefined workflows triggered by specific conditions, Ivanti empowers IT teams to resolve routine issues without manual intervention. Automate predictable tasks to reduce the attack surface and free your service desk from repetitive firefighting.
Leveraging advanced machine learning, Ivanti analyzes contextual data and historical outcomes to proactively recommend the most effective fix. Providing intelligent, data-driven insights eliminates guesswork and drastically reduces MTTR.
Ivanti delivers end-to-end detection, decision-making and execution at machine speed. By seamlessly resolving vulnerabilities in the background, Ivanti reserves human oversight strictly for strategic exceptions, allowing organizations to achieve unprecedented scale and continuously reduce risk.
Features and capabilities
Manual intervention cannot secure modern IT environments. Ivanti’s autonomous remediation tackles your most resource-intensive challenges head-on, transforming reactive firefighting into seamless, self-healing processes.
When a device fails to install a critical security update, Ivanti evaluates the root cause, retries installation, resolves dependencies, and confirms completion, all without manual intervention. The result: fewer devices remaining unpatched beyond SLA windows and a meaningfully reduced attack surface.
Ivanti continuously monitors endpoint configuration against defined baselines. Low-risk drift is remediated and logged immediately. High-risk changes (a disabled firewall, an unauthorized software install) trigger both remediation and a security event, giving the SOC full visibility. The outcome is consistent security posture across the fleet without periodic manual audits.
When a critical CVE is published, waiting for the next patch cycle is not an option. Ivanti integrates with vulnerability intelligence feeds to prioritize exposures by severity, exploitability and asset criticality, then triggers immediate remediation workflows including patching, compensating controls or device isolation. The vulnerability-to-remediation window compresses from days to hours.
Critical services and agents fail silently, often going undetected until an end user reports an impact. Ivanti bots detect failures in real time and immediately attempt recovery, restarting services, reinstalling agents or escalating to more complex workflows if simple restarts fail. The entire cycle completes in seconds, frequently before the user is aware anything went wrong.
When an endpoint falls out of compliance with CIS, NIST, STIG or SOC 2 policies, Ivanti triggers the corrective action and updates the compliance record automatically. Remediation history is fully auditable, turning compliance from a point-in-time assessment into a continuous, enforced state.
Provisioning failures delay new employee productivity and generate repetitive service desk work. Ivanti’s autonomous remediation engine extends into the onboarding workflow, automatically retrying failed enrollments, re-queuing software deployments and escalating policy errors with full diagnostic context, virtually eliminating this ticket category.
Autonomous remediation is the ability of an autonomous endpoint management solution to automatically detect, prioritize, and resolve security or operational issues without requiring manual intervention. Using real-time telemetry, AI-driven decision-making, and automated workflows, autonomous remediation can address vulnerabilities, configuration drift, compliance violations, and endpoint failures before they become incidents.
AI improves vulnerability remediation prioritization by analyzing factors such as vulnerability severity, exploitability, asset criticality, threat intelligence, and business impact. Instead of treating every vulnerability equally, AI helps IT and security teams focus on the exposures that pose the greatest risk, enabling faster remediation and more effective use of resources.
Automated remediation executes predefined actions when specific conditions are met, following rules established by administrators. Autonomous remediation goes further by continuously analyzing context, making risk-informed decisions, selecting appropriate corrective actions, and verifying outcomes with minimal human involvement. In short, automation follows instructions; autonomy can evaluate, decide, act, and validate within defined guardrails.
Continuous vulnerability remediation reduces risk by continuously identifying vulnerabilities, prioritizing them based on risk, applying corrective actions, and verifying results. This shortens the window between vulnerability discovery and remediation, helping organizations reduce exposure to known threats, maintain compliance, and improve overall security posture.
Self-healing endpoints are devices that can automatically detect and recover from common issues without user or administrator intervention. Examples include restarting failed services, reinstalling corrupted agents, correcting configuration drift, restoring security controls, and resolving performance issues. Self-healing capabilities help prevent downtime, improve endpoint reliability, and reduce service desk tickets.
Discover how Ivanti’s autonomous remediation capabilities reduces risk, lowers manual effort and improves endpoint performance.
Contact your Ivanti account team or visit us at ivanti.com.