Gurucul Debuts Industry-First AI-Driven Insider Risk Platform with Agentic AI for Autonomous Threat Detection and Response

Gurucul Launches AI-Driven Insider Risk Management Platform With Native Convergence and Agentic AI

Gurucul has introduced AI-IRM, an integrated insider risk management platform that brings behavioral analytics, identity analytics, intelligent DLP, and native automated response together in one place. It adds a native AI-Insider Analyst that accelerates triage, applies bias-resistant risk scoring, and automates response with human oversight.

For leaders staring down rising insider incidents and tool sprawl, this is a direct path to faster risk reduction, measurable efficiency gains, and better compliance outcomes-without reshaping your stack. The platform folds investigation, decisioning, and response into a single workflow.

Why this matters to leadership

Insider incidents are increasing, with 83% of organizations reporting at least one in the past year. Most teams are stuck with siloed tools, noisy alerts, and manual processes that slow remediation and inflate costs.

AI-IRM targets those gaps: fewer blind spots, faster answers, and automated playbooks that keep high-risk events from turning into business disruptions.

What's new

• Native AI-Insider Analyst for autonomous triage, risk scoring, and incident narratives with human-in-the-loop validation.
• Natively converged UEBA, Identity and Access analytics, intelligent DLP, and response orchestration.
• Context-rich investigations that unify users, service accounts, identities, locations, endpoints, and cloud telemetry.
• Seamless collaboration between analysts and AI to shorten time to decision and action.

Outcomes you can expect

• Reduce insider risk by over 50% with behavioral models, identity analytics, and privileged access intelligence.
• Comprehensive detection across employees, contractors, third parties, non-human identities, AI agents, and state-sponsored threats.
• Up to 83% reduction in analyst time through instant triage, automated enrichment, and risk-driven prioritization.
• Prevent data loss in real time across email, endpoints, print, and cloud with bi-directional egress controls and SOAR-integrated playbooks.
• Day 0 coverage via prebuilt pipelines, dashboards, detection templates, and models to speed deployment and ROI.
• Compliance alignment with GDPR, NIST 2, HIPAA, PCI DSS, and CISA using granular RBAC and data masking.

How it works

Self-learning UEBA and identity analytics create a 360° view of user and entity activity. The AI-Insider Analyst and Sme AI Copilot handle alert triage and response, produce incident narratives, and recommend actions based on historical cases and analyst feedback.

Automated playbooks isolate risky users, revoke access, block exfiltration attempts, and document decisions for audit-so your team can focus on the highest-risk investigations.

Key capabilities

• Comprehensive Insider Threat Content: Prebuilt pipelines, dashboards, models, watchlists, playbooks, indicators, and reports.
• Expansive Use Case Coverage: Hundreds of out-of-the-box use cases and thousands of ML-driven detections across human and non-human actors.
• AI Analyst & Sme AI Copilot: AI-driven triage and response trained on insider investigations with automated incident narratives.
• Flexible Data Ingestion: Supports non-standard and enrichment sources plus federated search for data not ingested.
• Identity and Access Analytics: Proactively reduces identity risk and enforces Zero Trust principles.
• Advanced UEBA & Contextual UAM: Behavior analytics combined with user activity monitoring and a 360° timeline.
• Natural Language Search & Threat Hunting: Fast, AI-based search, federated queries, retrospective analysis, and replay.
• Custom Use Case Development: Behavior-based templates and a built-in STUDIO for detections tailored to your risk profile.
• Risk-Driven Detection & Prioritization: Enterprise risk engine with human risk scoring, patented aggregation, and early warning models.
• Comprehensive DLP: AI-based, cross-channel exfiltration detection with bidirectional integrations across enterprise tools.
• Privacy & Compliance: Granular RBAC, data masking, and user-level monitoring aligned to regional and global mandates.
• Automated Response: Out-of-the-box insider response playbooks, third-party SOAR integrations, and case management.
• Agentless Architecture (optional agent): Lightweight deployment with enhanced monitoring and sensitive data discovery when needed.
• Location Trust Service: Non-IP device location detection for precise identification of unauthorized access attempts.
• Global Threat Intelligence Alignment: Research partnerships, threat feeds, and alignment with industry frameworks.
• Your Data Lake and Cloud: Works on Snowflake, Databricks, Amazon S3, and runs in AWS, GCP, or Azure so you keep control of data and deployment.

Built for governance, privacy, and trust

"Much like humans, AI can develop biases over time. Creating a system that is transparent and can be trusted is non-negotiable," said Nilesh Dherange, CTO, noting the model is trained on contextualized data and continuously refined with historical cases and human feedback.

The platform supports granular RBAC and data masking to meet GDPR, NIST 2, HIPAA, PCI DSS, and CISA expectations. For context on best practices, see CISA's insider threat resources here and GDPR guidance from the European Commission here.

Leadership perspective

"Our AI-Insider Analyst transforms the insider threat detection and response workflows by automating alert triage and response with human collaboration. This enables organizations to leverage our expansive use case library, enabling Day 0 coverage so the existing analyst team can focus on the high-risk investigations and response actions," said Saryu Nayyar, CEO.

Deployment on your terms

Run AI-IRM on your data lake and cloud of choice, with agentless deployment and an optional endpoint agent for deeper visibility. Out-of-the-box content shortens time to value while preserving your governance model and data ownership.

Get started

Learn more at gurucul.com/AI-IRM. If you're planning leadership upskilling on AI strategy and governance, explore role-based learning paths here.

About Gurucul

Gurucul is a unified data and security analytics company that uses machine learning, comprehensive threat content, and secure AI to deliver real-time, actionable insights on high-risk threats with automated response options. The cloud-native platform is open and flexible so you can own your data, deploy anywhere, use any data lake, and integrate with any security tool.