Company Overview
Automated AI red teaming platform using attacker-aligned testing to map AI attack surfaces and validate defenses.
Based in London, Mindgard offers its Mindgard Platform as a solution for organizations navigating the complexities of automated adversarial testing and continuous AI vulnerability assessment. The platform is positioned within the broader AI Red Teaming & Security Testing category, where AI Security Intelligence tracks 25 companies building specialized capabilities.
Founded in 2022, Mindgard has been building its platform during the critical period when enterprise AI adoption — and the corresponding security challenges — began their exponential acceleration.
Why Watch This Company
As the AI attack surface expands faster than most security teams can assess, Mindgard brings automated adversarial testing and continuous AI vulnerability assessment to the market. The ability to systematically identify AI vulnerabilities before adversaries exploit them is transitioning from a nice-to-have to a board-level requirement.
Key Facts
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Headquarters
Lancaster, UK
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Category
AI Red Teaming & Security Testing
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Key Product
Mindgard Platform
Primary Product
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Mindgard Platform
Automated AI red teaming platform using attacker-aligned testing to map AI attack surfaces and validate defenses.
AI Red Teaming & Security Testing Landscape
AI Red Teaming & Security Testing →
AI Red Teaming & Security Testing evaluates the resilience of AI systems through adversarial probing, automated attack simulation, and vulnerability assessment. As AI systems become embedded in critical business processes, the need to systematically test their failure modes — prompt injection, jailbreaking, data extraction, hallucination-based attacks, and social engineering via AI-generated content — has created an entirely new testing discipline.
25 companies tracked in this category
Buyer's Evaluation Framework
Key questions to evaluate any AI Red Teaming & Security Testing vendor — including Mindgard:
Does the platform support automated adversarial testing of LLMs, including prompt injection, jailbreaking, and data extraction attacks?
Can the solution continuously test AI systems in production, or is it limited to pre-deployment assessment?
How does the vendor's testing methodology align with frameworks like OWASP Top 10 for LLMs, NIST AI RMF, and MITRE ATLAS?
Does the platform provide actionable remediation guidance, or only vulnerability identification?
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Category Peers — AI Red Teaming & Security Testing
24 other companies in this category
Adaptive Security
New York, NY
Adversa AI
Tel Aviv, Israel
AttackIQ
San Diego, CA
Bishop Fox
Tempe, AZ
★ Featured Profile
Bugcrowd
San Francisco, CA
CalypsoAI
Dublin, Ireland
★ Featured Profile
Cobalt
San Francisco, CA
Enkrypt AI
San Francisco, CA
GetReal Security
San Mateo, CA
Giskard
Paris, France
HackerOne
San Francisco, CA
★ Featured Profile
Haize Labs
New York, NY
Irregular Security
San Francisco, CA
Jericho Security
New York, NY
Pentera
Tel Aviv, Israel
★ Featured Profile
Praetorian
Austin, TX
Preamble
San Francisco, CA
Promptfoo
San Francisco, CA
SafeBase
San Francisco, CA
SydeLabs
San Francisco, CA
Synack
Redwood City, CA
Trail of Bits
New York, NY
Virtue AI
San Francisco, CA
XBOW
San Francisco, CA