Adversa AI vs Mindgard vs Giskard vs Irregular

A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.

Adversa AI AI red-teaming and threat-intelligence research Visit Mindgard AI red-teaming platform Visit Giskard Open-source LLM red teaming, now with an EU guardrail layer. Visit Irregular The frontier-AI security lab whose evaluations appear in model system... Visit
RECATOOLS Score 6.4 / 10 7.4 / 10 7.8 / 10 7.4 / 10
Capability 7 8 8.5 8.5
Value for money 6 6 8.8 6
Ease of use 5 6 6.5 6
ASEAN readiness 5 6 5.5 5.5
API quality 3 7 7.5 6
Pricing Contact Enterprise Freemium Enterprise
Free tier Full open-source Python library (Apache 2.0), free forever, no usage caps
Paid from Enterprise Hub: custom pricing (contact sales); no public per-seat rate
Has API
Open source
Free to use
Users Thousands of developers (OSS); enterprise clients incl. AXA, BNP Paribas, Michelin
Founded 2019 2022 2021 2023
Maker Giskard AI (independent)
Verdict

Adversa AI is a specialist in AI security and red teaming, focused on testing machine-learning systems and LLMs against adversarial attacks, jailbreaks, and prompt-injection. As organisations ship AI into production, thi...

Mindgard is a specialist automated AI red-teaming and DAST-for-AI platform, spun out of Lancaster University, that tests LLMs, agents, and multimodal models against thousands of attack scenarios (prompt injection, jailbr...

Giskard's free, Apache 2.0 scanner (5,200+ GitHub stars) covers 50+ adversarial attack types mapped to OWASP, MITRE ATLAS and NIST — genuinely rare generosity in AI security tooling, where most competitors gate everythin...

A genuinely specialised outfit doing work that very few organisations can do at all, and the proof is that its findings show up in the published safety documentation of the largest labs rather than in its own marketing....

Full review → Full review → Full review → Full review →
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.