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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