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Giskard vs Mindgard: Which One Covers More of the OWASP LLM Top 10 in 2026?

Giskard and Mindgard are both AI Red Teaming vendors. Giskard covers 4 of 10 OWASP LLM risks and Mindgard covers 4, as of 2026-07-13. Based on llmthreat's coverage scoring, Giskard and Mindgard cover the same number of OWASP LLM Top 10 risks (4 each); the difference is in which ones. The full row-by-row diff is below.

Sponsored Comparison — this slot is available to category sponsors. Paid placement does not alter the coverage data or verdict below.

Spec comparison

AttributeGiskardMindgard
CategoryAI Red TeamingAI Red Teaming
DeploymentSaaS (Giskard Hub, EU/US data residency), self-hosted/on-premise, open-source librarySaaS cloud platform with API and CI/CD integration; Burp Suite integration
Best forML/AI teams needing continuous, automated red teaming and hallucination/robustness testing before and after deployment, with open-source and sovereign optionsSecurity teams wanting continuous automated red teaming and attack-surface mapping for LLMs, image models and agents
Founded20212022
Funding€7.5M + $5M round (2025)$11.6M+
StatusActiveActive

OWASP LLM Top 10 coverage: Giskard vs Mindgard

This diff is llmthreat's editorial read of both vendors' public documentation as of 2026-07-13, not an audited or vendor-endorsed score.

OWASP LLM Top 10 (2025) coverage diff — as of 2026-07-13
OWASP LLM RiskGiskardMindgard
LLM01 Prompt Injection Covered Covered
LLM02 Sensitive Information Disclosure Covered Partial
LLM03 Supply Chain Not covered Partial
LLM04 Data and Model Poisoning Not covered Covered
LLM05 Improper Output Handling Partial Unverified
LLM06 Excessive Agency Partial Partial
LLM07 System Prompt Leakage Partial Covered
LLM08 Vector and Embedding Weaknesses Partial Unverified
LLM09 Misinformation Covered Covered
LLM10 Unbounded Consumption Covered Partial

Where they differ

Giskard addresses LLM05 Improper Output Handling, LLM08 Vector and Embedding Weaknesses — risks where Mindgard scores Not covered or Unverified.

Mindgard covers LLM03 Supply Chain, LLM04 Data and Model Poisoning where Giskard doesn't.

On the rest, they overlap. Past those gaps the decision is depth per risk, deployment, and price, not breadth.

Which should you choose?

On raw counts it's a tie at 4 covered risks each — the difference is which risks. Giskard is built for mL/AI teams needing continuous, automated red teaming and hallucination/robustness testing before and after deployment, with open-source and sovereign options, while Mindgard suits security teams wanting continuous automated red teaming and attack-surface mapping for LLMs, image models and agents. Both rows sit in the full coverage matrix — read the profiles before deciding: Giskard and Mindgard.

Frequently asked questions

Does Giskard or Mindgard cover more of the OWASP LLM Top 10?

Neither — both cover 4 of the ten risks by our scoring, though not the same ones. The diff table above shows where they split.

Are Giskard and Mindgard independent?

Giskard is independent; Mindgard is independent, as of 2026-07-13.

Last verified . Sources: https://www.giskard.ai/, https://mindgard.ai/, OWASP LLM Top 10 (2025). Funding and repo figures are third-party and go stale. Re-verify before you rely on them.
Informational, not professional security advice — verify both vendors' claims against OWASP, MITRE, and the vendors directly before a decision. OWASP, MITRE, and the listed vendors and maintainers do not endorse llmthreat.com.