Holistic AI adds runtime enforcement to govern agent actions, controlling tools, data access, and costs across all AI systems ...
Enterprise AI inventory explained: learn why it matters for compliance and risk, and how Holistic AI automatically discovers, ...
As enterprise AI systems evolve from hand coded applications and static AI models to autonomous agents, governance is also entering a new phase. Traditional AI governance approaches enforced in ...
Recently, Gartner recognized Holistic AI in it its “Market Guide for Guardian Agents”. Read the full report here. According to Gartner, “AI agents simply can’t be trusted to follow instructions as ...
The AI regulation landscape as we move into 2026 is complex. This is not just due to the volume of laws that there are to navigate, but also the patchwork of overlapping different laws. Adding to this ...
With the increasing use of machine learning models in different areas, it has become important to address the bias problem in these models. This issue can appear in different aspects such as racial, ...
Artificial Intelligence (AI) has made significant strides in predictive performance, yet it often operates like a “black box” in which its inner workings and the rationale behind its outputs are a ...
The harmful and benign prompts were sourced from a Cornell University dataset designed to rigorously test AI security, drawing from established red-teaming methodologies. While not a reasoning-based ...
Ensuring AI security is crucial as models are integrated into critical applications. Holistic AI conducted an audit of Claude 3.7 to evaluate its resistance to jailbreaking and adversarial exploits.
As part of our ongoing commitment to AI safety and reliability, Holistic AI conducted a preliminary audit of xAI's latest model, Grok-3. This evaluation offers critical insights into Grok-3's ...
As artificial intelligence continues to integrate into our daily lives, it is paramount to ensure new and popular models remain safe and reliable. At Holistic AI, we are committed to rigorous testing ...
Large Language Models (LLMs) have become a central focus in AI research, demonstrating strong capabilities in processing and generating complex language. However, their practical use often requires ...
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