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Security
D

Delinea Iris AI

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.

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In Plain English

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.

OverviewFeaturesPricingUse CasesLimitationsFAQ

Overview

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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Key Features

AI-Assisted Policy Generation+

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.

Conversational Platform Interface+

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.

Continuous Anomaly Scoring+

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.

Guided Remediation Workflows+

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.

Automated Secret Discovery+

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.

Pricing Plans

Delinea Platform Essentials

Quote-based

  • ✓Secret Server vaulting
  • ✓Conversational platform search
  • ✓Basic anomaly alerts
  • ✓Standard support

Delinea Platform Advanced

Quote-based

  • ✓Server PAM and Privilege Manager
  • ✓AI-assisted policy generation
  • ✓Guided remediation workflows
  • ✓Automated secret discovery
  • ✓Priority support

Delinea Platform Enterprise

Quote-based

  • ✓Advanced anomaly scoring
  • ✓Custom model tuning
  • ✓Multi-tenant governance
  • ✓24/7 premium support
  • ✓Named customer success manager
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Best Use Cases

🎯

Enterprise security teams managing 1,000+ privileged accounts across hybrid cloud and on-premises environments.

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IT operations teams with junior administrators who need natural-language policy authoring to accelerate onboarding.

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Security Operations Centers (SOCs) investigating suspicious privileged sessions, where Iris' guided remediation shortens response time.

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Regulated organizations (finance, healthcare, government) preparing for audits around least-privilege and credential hygiene.

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Existing Delinea Platform customers on Secret Server or Server PAM who want to extend their investment with AI-assisted governance.

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Global enterprises consolidating multiple vault tools into a single PAM platform and needing conversational operations at scale.

Limitations & What It Can't Do

We believe in transparent reviews. Here's what Delinea Iris AI doesn't handle well:

  • ⚠Iris AI only operates within the Delinea Platform ecosystem, so organizations using CyberArk, BeyondTrust, or HashiCorp Vault cannot adopt it standalone.
  • ⚠No published pricing or self-service evaluation tier; every engagement requires a sales cycle and scoped proof-of-value.
  • ⚠The AI layer is relatively new—announced in 2024 and generally available in 2025—so it lacks the multi-year production track record of incumbent PAM analytics.
  • ⚠Custom model tuning and the most advanced AI capabilities are gated behind higher Delinea Platform subscription tiers.
  • ⚠As with any AI-generated policy or recommendation, outputs require human review before enforcement and are primarily English-optimized today.

Pros & Cons

✓ Pros

  • ✓Iris AI is natively embedded in the Delinea Platform rather than bolted on, so recommendations draw on live vault, session, and policy data without integration work.
  • ✓Natural-language policy authoring significantly lowers the skill barrier for junior administrators and compliance staff who are not PAM scripting experts.
  • ✓Continuous anomaly scoring operates against baseline behavior models, enabling proactive detection of suspicious privileged sessions instead of reactive alerting.
  • ✓Guided remediation workflows provide step-by-step incident response playbooks inside the platform, shrinking mean-time-to-respond for SOC analysts.
  • ✓Backed by a platform protecting over 4 billion secrets across 15,000+ organizations and recognized as a Leader by Gartner and Forrester in PAM.
  • ✓Delivered as a SaaS-native component requiring no separate deployment, so existing Delinea Platform customers can activate Iris AI without new infrastructure.

✗ Cons

  • ✗Pricing is entirely quote-based with no published rates or self-service tier, making it difficult to budget without a sales engagement.
  • ✗Iris AI is only available within the Delinea Platform ecosystem; organizations using competing vaults like CyberArk or HashiCorp cannot adopt it standalone.
  • ✗As a 2024-announced feature with general availability in 2025, the AI layer is relatively new and lacks the multi-year production track record of incumbents.
  • ✗Advanced AI capabilities such as custom model tuning are gated behind the highest subscription tier, limiting flexibility for smaller deployments.
  • ✗The conversational interface and AI recommendations are primarily English-optimized, which may constrain usability for non-English-speaking global operations teams.

Frequently Asked Questions

What is Delinea Iris AI and how does it fit into the Delinea Platform?+

Delinea Iris AI is an embedded artificial intelligence layer that runs natively across Secret Server, Server PAM, and Privilege Manager, giving administrators a conversational interface and automated analytics across the full PAM lifecycle.

How much does Delinea Iris AI cost?+

Delinea does not publish list pricing for Iris AI; it is bundled into the Delinea Platform subscription and priced by number of privileged users, secrets under management, and activated modules, negotiated through a direct sales engagement.

What measurable benefits have customers reported from using Iris AI?+

Delinea reports that customers in early-access programs reduced policy creation time by up to 70%, accelerated incident response through guided remediation, and improved credential hygiene via automated discovery and risk-ranked reporting.

Can Iris AI replace human approvers in privileged access workflows?+

No—Iris AI is explicitly designed to complement rather than replace existing PAM approval workflows. Every AI-generated policy or remediation recommendation is surfaced for human review before enforcement.

How does Delinea Iris AI compare to CyberArk's AI capabilities?+

CyberArk has a longer track record with AI-driven threat analytics and automated identity controls across a broader identity footprint, while Delinea Iris AI offers a more conversational, PAM-focused experience with faster activation for existing Delinea customers.
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What's New in 2026

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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Quick Info

Category

Security

Website

delinea.com/blog/iris-ai-practical-ai-for-the-modern-enterprise
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