Giskard vs HiddenLayer

Giskard is an open-source and enterprise platform for automated red-teaming and evaluation of AI models and LLM agents, detecting vulnerabilities like hallucinations, prompt injections, biases, and robustness issues through continuous scanning and test suites. It differentiates with black-box testing, collaborative workflows for business and technical teams, and integration of domain knowledge for exhaustive, domain-specific tests. Typical buyers are AI engineering, security, and data science teams at enterprises in finance, manufacturing, public sector, and defense deploying production AI systems. The platform supports compliance via GDPR, SOC 2 Type II, and HIPAA features, and was recognized in Gartner's 2023 Market Guide for AI Trust, Risk and Security Management.

HiddenLayer is an Austin, Texas-based AI security company founded in March 2022 by experienced cybersecurity and machine learning professionals. The company provides a comprehensive AI Security Platform covering AI Discovery (automated inventory), AI Supply Chain Security (model scanning for embedded threats), AI Attack Simulation (red teaming), and AI Runtime Security (guardrails and active threat response). The platform is designed to be non-invasive — protecting models without requiring access to raw training data — and integrates with CI/CD, MLOps, data pipelines, and SIEM/SOAR tools. HiddenLayer is recognized by Gartner as a Cool Vendor for AI Application Security. The company raised $50M in Series A in September 2023, the largest Series A for an AI-focused cybersecurity company at that time, led by M12 (Microsoft's Venture Fund) and Moore Strategic Ventures. Customers include enterprises in financial services, US federal government, and technology. Named endorsers include the CISO of the NFL and the former CISO of AIG.