Methodology

A practical audit method for AI software teams.

WardenBot.ai prioritizes exploitable risk, clear evidence, and remediation tasks that can move from report to backlog without translation.

  1. Intake and asset boundaries
  2. Surface mapping and threat model
  3. Manual validation of realistic attack paths
  4. Evidence capture and severity scoring
  5. Agent-ready remediation handoff
  6. Retest guidance and closure notes

Scope before tests

Paid work begins only after manual review of assets, authorization, rate limits, and test constraints.

Validate, then report

Findings need evidence, impact, affected assets, and a realistic remediation path.

Built for handoff

Reports include Markdown tasks that developers and coding agents can consume directly.