Skip to main content
AI Session Analyzer
This feature is only available when executing ad-hoc sessions (Webapp & hoop exec cli)

What You’ll Accomplish

AI Session Analyzer is Hoop’s AI-powered risk analysis capability for one-off sessions. It evaluates commands before execution and applies configured policies automatically, so you can:
  • Detect risky commands in real time before impact
  • Block destructive or high-risk operations proactively
  • Apply consistent policy decisions across resources

How It Works

1

Configure Provider and Rules

Configure the AI provider and define risk rules.
2

Command Is Analyzed

A command runs and is analyzed in real time by AI.
3

Action Is Applied

Based on the rules and AI analysis, the command is allowed or blocked.

Runtime Analysis Experience

In-Terminal Behavior

When a terminal session starts:
  • Terminal shows an in-session status card: AI Session Analyzer is thinking...
  • Analyzer evaluates activity in real time
  • If no rule is violated, show Allowed/success status (non-blocking notification)
  • If any configured risk rule is triggered, show Blocked status (prominent restriction notification)

Session Details Review

In the session detailed view:
  • Top status list includes AI Session Analyzer item
  • Item displays action status: Allowed or Blocked
  • A dedicated card shows:
    • Title plus risk level indicator (Low Risk, Medium Risk, High Risk)
    • Action applied by rule (Allowed or Blocked)

Status Types

StatusMeaning
AllowedSession complies with configured risk rules
BlockedSession violates one or more configured risk rules

Best Practices

Recommended Risk Evaluation

Use the recommended risk evaluation to apply policies based on each session’s risk profile.

Scope by Role

Apply stricter policies to privileged roles and production-facing resources first.

Review Outcomes Weekly

Audit Allowed/Blocked trends and tune rules for false positives or blind spots.

Ready to turn it on? The AI Session Analyzer configuration guide walks through connecting an AI provider, creating risk rules, and verifying results.

Next Steps

Guardrails

Add deterministic query and command controls

Live Data Masking

Protect sensitive output with automatic redaction

Session Recording

Audit command history and investigation trails

Access Requests

Require approvals for sensitive operations