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Hands-on playbook · 55 min

garak Playbook: Scan an LLM Endpoint, Read the Results Honestly and Make It a Regression Test

A hands-on garak deep dive: point it at your own REST endpoint, select probes with the --spec grammar, keep runs fast and repeatable with a YAML config, read the report, hit log and hit@k correctly, triage hits with a script, and turn the scan into a baseline-and-regression check.

Premium playbookFacts checked Free overview: garak explained
WHAT YOU WILL DO
  • Point garak at your own application's REST endpoint with a generator config
  • Select exactly the probes your threat model needs with the --spec grammar
  • Write a YAML run config that makes scans fast, repeatable and reviewable
  • Read the report, the hit log, Z-scores and hit@k without overclaiming
  • Triage hits per probe and detector with a short offline script
  • Turn a one-off scan into a baseline and a regression gate for releases
  • Know when to write a custom probe or detector, and what each must contain
SECTIONS
  1. 01Under the hood
  2. 02Hands-on lab
  3. 03Choosing probes from a threat model
  4. 04Recipes
  5. 05Rollout runbook
  6. 06Troubleshooting
  7. 07Interview drill
  8. 08Sources
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An independent playbook for interview preparation and learning. AISecurityInterviews is not affiliated with or endorsed by NVIDIA (open source, Apache-2.0), and product names are trademarks of their owners. Use these procedures only on systems you own or are authorised to test, and check the vendor's documentation before changing production.