Recommendations Tab: Guided Policy Analytics & Remediation

The Recommendations tab is the central UI for reviewing, understanding, and acting on security, cleanup, and optimization findings within your OCI tenancy. This tab synthesizes actionable insights from a pluggable, analytics-driven engine and presents them in an interactive, user-friendly dashboard.


How Does It Work?

Recommendations and related findings are dynamically generated by the Policy Intelligence engine, which evaluates your loaded policies, users, groups, and compartments against a suite of pluggable analytic strategies. These strategies identify risky, invalid, redundant, or overlapping policy statements and aggregate results into a unified model.

Key highlights:

  • Every section of this tab draws from live analytics and data overlays—there is no static “rules table.”

  • Intelligence strategies can be extended and updated without changing the UI or needing a redeploy.

  • You don’t need to interpret raw OCI policy text; instead, you get guided, actionable recommendations and insight into why they’re being surfaced.

If you’re interested in all the fine details—how the engine works, how plug-ins (strategies) are added, and what happens under the hood—see Further Reading: AI Context at the end of this guide.



Usage Tips & Workflow Suggestions

  • After loading data, always review the Summary Table for high-priority risks and limits issues first.

  • Use filters and sorts in every tab to focus on what’s most important for your tenancy or project.

  • Take Action on actionable issues directly from Cleanup/Fix—a fast route to trackable and auditable remediation steps.

  • Interpret why an issue is flagged by expanding details in each table—most analytics include clear rationale and recommended next steps.

  • Reload regularly: If you make changes in OCI Console or via CLI, clicking “Reload All” refreshes analytics and cleans up completed workbench items.

  • Curious about technical details? See below.


Further Reading: AI Context & Detailed Architecture

Curious about the deep technical contract behind this tab?
All analytic findings, dashboard subtabs, workbench logic, and extensibility are governed by a formal, pluggable overlay model and a set of modular strategy “plug-ins.” If you’re an advanced user, developer, or just want a full description of how analytics are constructed (with diagrams, wiring, and extensibility guides), see:

Policy Intelligence Engine & Recommendations UI — AI Context

context/project/CONTEXT_policy_intelligence_and_recommendations.md

This “AI Context” is the source of truth for the analytic and UI contract. It covers:

  • Overlay data model and all canonical output structures

  • Pluggable strategies and how to extend/reason about them

  • Control/data flow diagrams for engine, plug-ins, overlay, and UI

  • Extensibility/workbench details and all implementation references


Other Reading: