Last week, Grok 4, the large language model (LLM) developed by xAI and deployed on X (formerly Twitter), made headlines for all the wrong reasons.

AI Governance ensures ethical, transparent, and compliant AI. Learn why enterprises need AI-specific governance beyond traditional Data Governance.

Grok-3 audit reveals 2.7% jailbreaking resistance—far below rivals. Strengthen AI security with Holistic AI. Schedule a demo today!

Caseware's AiDA earns AI safety assurance, ensuring trust, security, and compliance. Recognized as a 2025 top product for accountants.

Explore privacy risks in machine learning, membership inference attacks, and the privacy risk score to enhance data security and build trustworthy AI systems.

Towards open and responsible AI In recent years, the growing focus on responsible AI has sparked the development of various libraries aimed at addressing bias measurement and mitigation. Among these, ...

Discover how to protect your enterprise from Shadow AI risks. Learn to detect unauthorized AI usage, ensure compliance, and securely harness AI's potential.

Discover Human-in-the-Loop AI: integrating human expertise with AI to ensure accuracy, ethical compliance, and adaptability in today’s technology landscape.

Holistic AI has officially joined the Microsoft Azure Marketplace, launching Holistic AI Safeguard, our flagship AI governance solution.

Assessing bias in LLMS In a previous blog about benchmarks, we introduced the BBQ, BOLD, and JobFair benchmarks for LLMs, all of which are specifically used to identify bias in LLMs. As seen in the ...

This blog post will provide an overview of what data contamination is, why it can be harmful, how to detect it, and how to mitigate it in the context of LLMS.

This blog post presents a comprehensive catalogue of benchmarks, categorized by their complexity, dynamics, assessment targets, downstream task specifications, and risk types.