Giskard provides an AI red teaming and LLM security platform designed to test and secure artificial intelligence systems, particularly large language models and AI agents. The platform focuses on identifying vulnerabilities such as hallucinations, adversarial attacks, and security issues in AI applications before deployment. The company offers automated testing capabilities with over 50 adversarial probes for AI red teaming, enabling organizations to evaluate their LLM-based systems for potential security weaknesses and quality issues. Their platform supports testing of AI agents and machine learning models across various use cases. Giskard's technology is available as an open-source solution with over 5,000 GitHub stars, indicating significant community adoption. The platform integrates with major cloud providers including AWS, Google Cloud, and Azure, and maintains partnerships with organizations like Hugging Face, AFNOR, and ISO for AI standardization efforts. The company targets organizations deploying AI and machine learning systems that need to ensure their models are secure, reliable, and free from vulnerabilities. Their approach combines automated vulnerability detection with comprehensive testing frameworks to help teams identify issues like prompt injection attacks, data leakage, and model bias before production deployment.