shouldiuse.io

VERDICT

Should I use Giskard?

Secure AI agents with continuous AI red teaming. Detect vulnerabilities and improve LLM security. - giskard.ai

Depends. Buy if you ship customer-facing LLM agents and have engineers to act on scan findings. Skip it if you have no production LLMs or no ML staff — it's overkill; start with the free open-source library instead.

Confidence

Medium. Based on ~20 public sources; independent user reviews were scarce, so confidence is capped at medium.

Ratings

  • Value for moneyNo public pricing evidence
  • Ease of useNo usability evidence found
  • Feature depth
  • Support qualityNo evidence found
  • Security postureNo vendor security evidence found

Pricing

Free

Open-source library

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed
Free tierYes
Giskard HubNot published

Best for

  • Teams with LLM agents in production
  • ML engineers running pre-launch vulnerability scans
  • EU-compliance-driven enterprises
  • Companies wanting continuous automated red teaming

Not for

  • Hobbyists and solo developers — serious overkill
  • Small teams with no ML engineers on staff
  • Buyers wanting transparent published pricing
  • Orgs with no LLMs in production yet

Gotchas - check before you buy

medium

Hub pricing is sales-gated; expect enterprise quotes, not sticker prices

medium

Free OSS library vs paid Hub split — verify exactly which features cost money

medium

No public security page found in our crawl; check.ai directly

low

Funded startup in a fast-moving category; expect roadmap and packaging changes

Pros and cons

Pros

  • Continuous automated red teaming for LLM agents and apps
  • Open-source core plus commercial Hub; researcher-founded team
  • €3M European Commission investment adds EU credibility
  • One platform covers scanning, evaluation, and vulnerability detection
  • European vendor positioned for EU AI-security needs

Cons

  • Hub pricing not published; likely sales-gated
  • Third-party roundups flag 'limitations to consider' without detail
  • Enterprise-oriented; overkill for small teams or simple cases
  • Startup vendor; continuity risk for critical security tooling

Sources & method

Analyzed 9/21/2026 - 8 sources - No known vulnerabilities found in the sources reviewed.

official x2review x3security x1news x2

Key stats

  • Feature depth: 4/5

    Rating

  • Free

    Starting price

  • 8

    Sources

  • Analyzed

  • Value for money. No public pricing evidence
  • Ease of use. No usability evidence found
  • Feature depth: 4/5. Continuous red teaming, scanning, evaluation in one platform
  • Support quality. No evidence found
  • Security posture. No vendor security evidence found
  • $30M Funding Plus €3M EU EIC grant, per coverage
  • Yes Free tier Open-source Python library
  • 1,000+ GitHub stars OSS traction per third-party coverage
  • Europe Origin Researcher-founded EU vendor

Pricing

Open-source library

Free

  • LLM scanning and evaluation in Python
  • Self-managed

Giskard Hub

Not published

  • Continuous AI red teaming
  • Sales-gated pricing

Security

No known vulnerabilities found in the sources reviewed.

What users say

Independent user reviews are scarce; sources are mostly vendor-adjacent coverage and directories with little verbatim feedback.

Companies that use it

  • Airbus
  • European Commission (AI@EC)
Full analysis

Based on ~20 public sources; independent user reviews were scarce, so confidence is capped at medium.

Serious continuous red-teaming for LLMs; fits enterprises shipping agents, overkill for small teams, Hub pricing is sales-gated.

Methodology

Based on ~20 public sources; independent user reviews were scarce, so confidence is capped at medium.

Sources

  1. Giskard homepagegiskard.ai
    official
  2. About Giskardgiskard.ai
    official
  3. Top 10 European companies building infrastructure for AI securityfintech24h.com
    news
  4. Giskard: red teaming and OSS-to-Hub expansionglobal-products-research.com
    review
  5. Giskard pricing, limits and alternativesdiscoverthetools.com
    review
  6. Security page crawl resultgiskard.ai
    security
  7. Giskard – startups and scaleups portaliagenerative.numeum.fr
    news
  8. Arize AI and observability competitor landscapeskywork.ai
    review

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