AI compliance isn't just about following laws; it's about managing the unique risks of algorithmic bias, data privacy, and model transparency. We help you bridge the gap between your data science teams and your compliance requirements, creating a framework that encourages innovation while maintaining strict oversight.
We catalog your AI use cases and classify them based on risk levels (e.g., Unacceptable, High, Limited, or Minimal) as defined by global regulations.
We establish AI committees and internal policies governing the acceptable use of Generative AI and automated decision-making.
We work with your technical teams to help implement testing protocols that identify and mitigate bias in training data and model outputs.
We ensure your AI systems meet "right to explanation" requirements, providing users with clarity on how AI-driven decisions are made.
We assess your models for vulnerabilities specific to AI, such as prompt injection, data poisoning, and model inversion.
"The ability to deploy cutting-edge AI solutions while staying ahead of global regulators, protecting your brand from ethical fallout, and securing your intellectual property."