Anzenna has launched Agentic AI Investigation Agents, a new capability within its Insider Risk Management platform that helps security teams investigate insider threats faster and with greater accuracy. With this release, the company is taking a major step toward automating insider risk investigations, especially as enterprises face rising threats linked to AI tools, AI agents, and human activity across modern digital environments.

As more organizations adopt AI tools, copilots, and autonomous agents across everyday business functions, the insider risk landscape is becoming more complex. At the same time, security teams are dealing with growing volumes of shadow AI activity, credential misuse, and data exfiltration attempts. Consequently, SOC analysts often find themselves overwhelmed by alerts that demand hours of manual correlation before a proper investigation can even start.

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According to Gartner®, “32% of IT workers using generative AI tools at work say they keep it hidden, hindering discovery from cybersecurity teams.”1

To address this challenge, Anzenna’s new Investigation Agents autonomously handle the full investigation lifecycle. When the platform detects a suspicious signal, whether it involves unusual data movement, abnormal identity behavior, or unauthorized AI tool usage, the agents immediately begin gathering evidence across more than 130 integrated enterprise applications. In addition, they correlate behavioral patterns across multiple platforms, apply risk context based on role and past activity, and then assemble a complete case file with recommended remediation steps.

Moreover, Anzenna uses AI security context graphs to map relationships across assets, identities, and threats. As a result, security teams gain smarter, context-aware insights that support faster and more accurate decision-making in real time. Instead of spending valuable hours collecting and connecting scattered data points, analysts can focus directly on response and resolution.

This shift has a direct operational impact. By reducing both mean time to investigate (MTTI) and mean time to respond (MTTR), the platform allows security teams to move from reactive alert handling to more strategic threat response. In fact, one customer has already highlighted the dramatic time savings enabled by the new capability.

“Anzenna cut our investigation time from 2 days to 20 minutes,” said a CISO at a Fortune 500 hardware company.

In addition, Anzenna has designed these Investigation Agents to work on top of its agentic AI engine and its agentless, cloud-native Insider Risk Management platform. Therefore, the new capability expands the company’s existing insider risk, user behavior analytics, and SaaS security features with an added layer of autonomous investigative intelligence.

“Security teams today have plenty of alerts but not enough context,” said Ganesh Krishnan, Co-Founder and CEO of Anzenna. “Our Investigation Agents think like your best analyst, autonomously piecing together the full story across every data source in your environment. What used to take hours of manual correlation now happens in minutes, with full transparency into every step of the reasoning.”

Another important advantage is transparency. Unlike black-box AI systems, Anzenna’s Investigation Agents operate with full auditability. Every investigation includes a reasoning chain that documents the logic, evidence sources, and conclusions behind each finding. Because of this, security teams and leadership can review, validate, and confidently communicate the outcome of every case.

The new solution also delivers several practical benefits. It supports autonomous end-to-end investigations, manages cross-platform behavioral correlation, and enables context-aware risk prioritization. Furthermore, it connects directly to Anzenna’s remediation engine, allowing teams to revoke access, quarantine accounts, block data sharing, and enforce policies with a single click. At the same time, its transparent AI reasoning with full audit trails provides defensible records for compliance reporting and executive communication.

Overall, Anzenna’s latest launch reflects how insider risk management is evolving in response to AI-driven threats. By combining automation, behavioral context, and transparent reasoning, the company is helping enterprises investigate both human- and AI-driven risks at machine speed while reducing pressure on already overburdened security teams.

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