[jira] [Created] (RANGER-5278) Build Agentic AI Agent for Apache Ranger to Automate Policy Suggestions and Anomaly Detection

["Selvamohan Neethiraj (Jira)" <ji...@apache.org>]

Selvamohan Neethiraj created RANGER-5278:
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             Summary: Build Agentic AI Agent for Apache Ranger to Automate Policy Suggestions and Anomaly Detection
                 Key: RANGER-5278
                 URL: https://issues.apache.org/jira/browse/RANGER-5278
             Project: Ranger
          Issue Type: New Feature
          Components: Ranger
            Reporter: Selvamohan Neethiraj


Design and implement an Agentic AI component that integrates with Apache Ranger to enable autonomous access control policy recommendations, real-time anomaly detection, and closed-loop governance based on user behavior, audit logs, and contextual metadata.

The goal is to improve proactive data security and reduce the manual overhead of policy management.
h3. *Objectives / Scope:*
 # {*}Connect to Apache Ranger APIs{*}{*}{*}

 ** Read existing policies and audit logs

 ** Access metadata about resources, users, and roles

 

 # {*}Behavior Analysis Module{*}{*}{*}

 ** Ingest and analyze user access logs

 ** Identify frequent access patterns and policy gaps

 

 # {*}Agentic AI Core Engine{*}{*}{*}

 ** Implement reasoning engine (LLM-based)

 ** Generate intelligent policy suggestions (e.g., “User X should not access Resource Y after 6PM”)

 ** Detect and flag anomalous behavior (e.g., off-hours access, privilege escalation, etc.)

 

 # {*}Policy Suggestion & Feedback Loop{*}{*}{*}

 ** Generate human-readable policy change suggestions

 ** Provide options for manual approval or automatic update

 ** Support audit trail and rollback capability

 

 # {*}UI/UX Integration{*}{*}{*}

 ** Frontend dashboard to view agent outputs

 ** Admin interface to approve/reject agent suggestions

 

 # {*}Security & Logging{*}{*}{*}

 ** Ensure logs of AI actions and decisions are captured

 ** Add safeguards against unintended policy changes

 

h3. *Acceptance Criteria:*
 * Agent connects to Apache Ranger and retrieves audit logs and policy metadata

 * AI agent analyzes patterns and recommends policy updates with confidence scores

 * Anomaly detection is demonstrated using historical audit log patterns

 * All agent recommendations are logged and optionally require admin approval

 * No impact to existing Ranger operations or policies without approval

 * Demo and report generated with at least 3 use cases (e.g., over-privileged user, abnormal access time, stale policy)

 



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