How AI is reengineering the everyday work of IAM and SIEM
Despite the growing adoption of automation, IAM and SIEM teams still manage large volumes of repetitive, manual tasks. As organizations expand their SaaS ecosystems, cloud workloads, and external user networks, identity data continues to grow in scale and complexity.
AI helps teams filter out noise, false positives, and alert fatigue. By recognizing patterns, learning from context, and handling routine processes, it allows practitioners to focus on analysis, response, and faster remediation, reducing the risk of cybercrime. This enables operations to move from manual checks to faster and more informed decisions.
With AI becoming integral to every layer of identity and security operations, it has significant potential to shorten detection and investigation cycles, reduce manual overhead, and help teams focus on remediation and strategic decision-making while keeping human expertise at the center of every decision.
Recognized for AI innovation
This practical and predictive intelligent approach earned ManageEngine recognition for the second consecutive year at the TMCnet 2025 AI in Cybersecurity Innovation Awards:
AD360 in the Predictive Analytics for Cyber Threat Prediction category.
Log360 in the Security Information and Event Management (SIEM) Platforms category.
Here's how AI powers our tech stack
The convergence of human judgment and machine intelligence is already taking shape across key areas of identity and security management.
Zia is ManageEngine’s intelligent assistant that brings contextual intelligence into everyday operations. It automates routine tasks, analyzes logs, and presents clear, data-driven insights that help IT and security teams act with speed and precision.
Across our ecosystem, AI enables identity teams to manage access more efficiently, detect risks earlier, and helps security operations centers investigate incidents and prioritize responses in real time.
AI through the identity life cycle: AD360
Identity management has always been a discipline of precision slowed down by process. Even in mature enterprises, routine tasks like locating inactive users, generating reports, or analyzing group memberships consume far too much time.
In our IAM solution AD360, Zia, the AI-powered assistant, replaces layers of navigation with a chat interaction, allowing administrators to perform tasks or generate reports via simple natural language prompts.
Beyond convenience, Zia Insights redefines how identity risks are detected. It analyzes group memberships, detects anomalies, identifies privileged clusters, and flags deviations from peer baselines, enabling faster detection of outliers and corrective actions.
To expose subtle behavioral drift, AD360 integrates user behavior analytics, which establishes baselines of normal activity and flags suspicious deviations such as unauthorized privilege changes or unusual logins. These ML-driven insights strengthen defenses against compromised credentials and insider threats that often go unnoticed in hybrid environments.
Finally, with the solution's ML-based access recommendations, organizations can analyze actual usage patterns and peer group behavior to suggest the right entitlements for each user.
Explore it in action: Request a personalized demo
AI in action inside the SOC: Log360
In the SOC, the challenge isn’t a lack of visibility; it’s the inability to act fast enough on what’s visible. Analysts are inundated with signals, yet they're starved of clarity.
Zia Insights embedded within our SIEM solution, Log360 Cloud, addresses this gap by turning raw telemetry into operational context.
When an analyst selects a log, alert, or incident, Zia Insights immediately reconstructs the full narrative. It correlates associated events, aligns them with the MITRE ATT&CK® framework, and identifies probable attacker behavior. It doesn’t just describe what happened; it interprets why it happened and how to respond.
By mapping events to known tactics and suggesting response actions, Zia shortens the investigative loop from hours to minutes.
Over time, the system becomes smarter. Each insight Zia generates strengthens its contextual models, allowing subsequent analyses to become faster and more precise. In that sense, AI in Log360 Cloud doesn’t just automate investigation, it institutionalizes learning.
This shift changes what it means to monitor security. The SOC becomes less about chasing alerts and more about validating hypotheses in real time.
See it for yourself: Request a personalized demo
The new division of labor
As IAM and SIEM systems evolve, organizations will find it increasingly difficult to scale without embedding AI at the core of their identity and security operations. Manual workflows can’t keep pace with the speed and complexity of modern environments, where every new SaaS integration, cloud instance, and user access point expands the attack surface.
AI becomes the only practical means to balance precision and speed at enterprise scale as environments grow increasingly complex.
At ManageEngine, we’re using AI to extend the capabilities of IT and security teams to address this complexity. Our products are designed to reduce manual effort, improve visibility, and enhance decision-making, allowing analysts and administrators to work more efficiently, simplify complex operations, and strengthen overall security.