AI-powered privileged access management tool that helps make smart, fast security decisions through natural-language policy authoring, conversational queries, anomaly detection, and guided remediation inside the Delinea Platform.
AI-powered privileged access management tool that helps make smart, fast security decisions through natural-language policy authoring, conversational queries, anomaly detection, and guided remediation inside the Delinea Platform.
Delinea Iris AI is an artificial intelligence layer embedded across the Delinea Platform that transforms how security, IT, and compliance teams manage privileged access. Rather than operating as a bolted-on chatbot, Iris AI is woven directly into Secret Server, Server PAM, Privilege Manager, and the broader Delinea Platform, giving administrators a single conversational interface to query, configure, and remediate privileged access across hybrid cloud and on-premises environments. The platform combines natural-language policy generation, continuous anomaly scoring, guided remediation workflows, and automated secret discovery to shrink the gap between identifying a privileged-access risk and resolving it. Announced in 2024 and reaching general availability in 2025, Iris AI is built on Delinea's foundation of protecting over 4 billion secrets across more than 15,000 organizations worldwide, and it is positioned as practical AI for the modern enterprise rather than a speculative research project. Security teams describe an access intent in plain English—'give the Linux admin group time-bound sudo access to production database servers during change windows only'—and Iris drafts a complete policy with appropriate conditions, session recording, and approval workflows that administrators can review, edit, and publish. The conversational interface lets operators ask questions like 'show me all SQL Server accounts unused in the last 60 days' or 'which service accounts have non-expiring passwords,' returning structured results with one-click remediation. Continuous anomaly scoring evaluates session metadata, credential checkout patterns, and access behavior against baseline models to surface unusual activity—off-hours checkouts, impossible-travel logins, or privilege escalations that deviate from peer behavior. When anomalies or misconfigurations are detected, Iris walks analysts through step-by-step incident response playbooks that include containment actions (session termination, credential rotation), investigation queries, and compliance-aligned documentation. Automated secret discovery scans connected environments—Active Directory, cloud IAM, databases, Kubernetes clusters, network devices—to identify unmanaged privileged credentials and recommends onboarding paths into the vault. Because Iris AI is delivered as a SaaS-native component of the Delinea Platform, existing Secret Server and Server PAM customers can activate it without deploying additional infrastructure, and Delinea has published customer outcomes including up to 70% reductions in policy creation time and significant improvements in incident response velocity during early-access programs.
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Security teams describe an access intent in plain English and Iris drafts a complete policy with appropriate conditions, approval chains, session recording, and time-bound constraints that administrators can review, edit, and publish.
Administrators can ask natural-language questions such as 'show me all SQL Server accounts unused in the last 60 days' and receive structured, filterable results with inline remediation options.
Iris continuously evaluates session metadata, checkout patterns, and access behavior against per-user and per-peer-group baselines to surface deviations like off-hours checkouts, impossible-travel logins, and privilege escalations.
When a suspicious session or misconfiguration is detected, Iris walks analysts through step-by-step playbooks that include containment actions, investigation queries, and compliance-aligned documentation.
Iris scans connected environments—Active Directory, cloud IAM, databases, Kubernetes, network devices—to identify unmanaged privileged credentials and recommends risk-ranked onboarding paths into Secret Server.
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Delinea announced Iris AI in 2024 as a native AI layer across the Delinea Platform and reached general availability in 2025. Throughout late 2025 and into 2026, Delinea has expanded Iris AI with deeper anomaly scoring models, broader discovery coverage for Kubernetes and cloud IAM, and richer guided remediation playbooks for SOC workflows. The 2026 roadmap highlights expanded language support beyond English, tighter integrations with SIEM and SOAR platforms, and custom model tuning for enterprise-tier customers who want to align Iris recommendations with their internal risk frameworks.
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