Company Overview
Open-source AI testing framework for detecting bias, drift, hallucinations, and security issues in ML/LLM models.
Headquartered in Paris, France, Giskard offers its Giskard Hub as a solution for organizations navigating the complexities of testing AI systems for vulnerabilities and adversarial resilience. 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 2021, Giskard 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, Giskard brings testing AI systems for vulnerabilities and adversarial resilience 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
Paris, France
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Category
AI Red Teaming & Security Testing
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Key Product
Giskard Hub
Primary Product
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Giskard Hub
Open-source AI testing framework for detecting bias, drift, hallucinations, and security issues in ML/LLM models.
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 Giskard:
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
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AttackIQ
San Diego, CA
Bishop Fox
Tempe, AZ
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Bugcrowd
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CalypsoAI
Dublin, Ireland
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Cobalt
San Francisco, CA
Enkrypt AI
San Francisco, CA
GetReal Security
San Mateo, CA
HackerOne
San Francisco, CA
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Haize Labs
New York, NY
Irregular Security
San Francisco, CA
Jericho Security
New York, NY
Mindgard
Lancaster, UK
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