AI SECURITY / OPEN-SOURCE SOFTWARE

Garak

the LLM vulnerability scanner.

What is Garak?

the LLM vulnerability scanner.

WHO MIGHT CONSIDER IT

AI engineers and security teams testing models, agents, and application boundaries.

Use a bounded test environment and representative inputs. Check supported models, coverage, false positives, permissions, logging, and how findings enter your remediation workflow.

What to explore

01

Core product workflow

Use a real task to check the output, limits, and plan-specific availability.

These are starting points from the vendor overview. They are not a complete feature inventory or independently verified performance results.

Pricing and plans

CURRENT TERMS

Confirm with the vendor.

Check current vendor pricing and licensing. A numeric price has not been verified for this profile.

Official pricing ↗

Ask what is included in your chosen plan: seats or usage, onboarding, support, add-ons, billing period, and cancellation. Include continuing administration and migration effort in your comparison.

Before you choose Garak

Look closer

Use a bounded test environment. Inspect coverage and false positives, then verify remediation and access controls.

  • Test the same representative task across your shortlist.
  • Check an exception, an export, and the permissions your team needs.
  • Record setup effort, quality, manual corrections, and total cost.
COMMUNITY REVIEWS

Your experience matters.

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Sources and editorial scope

This profile links to the official Garak website. The vendor source was consulted on 7 October 2026.

VENDOR PAGE CONSULTEDGitHub - NVIDIA/garak: the LLM vulnerability scanner · GitHub

Product descriptions reflect vendor information and editorial categorisation. This is not a hands-on review, verified feature audit, or customer rating. Reconfirm current capabilities and terms before buying.

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