Ivanti is developing autonomous endpoint management using predictive threat mitigation

Modern IT infrastructures are becoming increasingly complex, and the number of endpoints in organizations is growing exponentially. Cybersecurity teams and IT professionals face constant overload while trying to respond to incidents and address vulnerabilities in a timely manner. Ivanti has introduced new capabilities for the Ivanti Neurons Autonomous Endpoint Management (AEM) platform, adding predictive remediation functionality to proactively reduce risks.

Relevance of Ivanti AEM in modern cybersecurity

The traditional approach to endpoint management focuses on reactive measures: a problem arises, gets logged, and only then is resolved. Given the growing activity of cybercriminals, this approach leaves critical windows of vulnerability. The Ivanti AEM solution transforms IT infrastructure management by shifting from reactive response to continuous incident prevention.

The use of artificial intelligence and machine learning allows organizations to analyze device health in real time and identify potential failures and anomalies before they lead to a security incident or a drop in employee productivity.

Preventive endpoint management is a shift from firefighting to building a resilient and automated IT environment.

Key benefits of predictive remediation

The new functionality in Ivanti AEM combines deep analytics with autonomous playbook execution, offering IT leaders and CISOs the following advantages:

• Proactive risk reduction: Automatic detection and neutralization of vulnerabilities before attackers can exploit them.
• Reduced IT workload: Automation of routine operations such as software updates, patching, and fixing configuration errors.
• Improved Digital Employee Experience (DEX): Prevention of hardware and software disruptions without interfering with user workflows.
• Contextual visibility: A comprehensive view of the status and security level of all connected devices.

Comparison of endpoint management approaches

Traditional reactive approach

• Operating principle: Resolving issues only after they are detected or reported by a user.
• Response speed: High delays and a prolonged window of system vulnerability.
• Team workload: Constant manual ticket handling and routine troubleshooting.

Ivanti AEM autonomous approach

• Operating principle: Forecasting failures and automatically remediating threats in the background.
• Response speed: Instant neutralization of anomalies before an incident occurs.
• Team workload: Automation of key scenarios, freeing up resources for strategic tasks.

As an official distributor of Ivanti, Softprom offers a comprehensive suite of services for implementing and supporting the vendor's solutions. Our certified experts help assess the current security level of your infrastructure, select the optimal architecture, and provide qualified support at all stages of project implementation.