Accenture RAI Red Teaming

Accenture Red Teaming proactively tests AI systems against real-world adversarial behaviors to uncover safety, misuse and policy-violating outcomes before deployment. The approach detects misaligned outputs from AI systems, identifying issues like hate speech, harassment, political sensitivities, jailbreaks, profanity, medical and legal advice disclaimers, while maintaining a company’s brand voice. RAI red teaming is the fastest way to discover real AI risks before you institutionalize controls that may be misaligned with how your AI solutions actually fail.

Our approach leverages a human-agentic methodology to break AI systems under adversarial, realistic conditions to trigger violative or misaligned content while evading guardrails. Accenture brings the human expertise to uncover critical insights, combined with Amazon Bedrock-based agents to conduct adversarial tests and generate detailed reports. Accenture experts define the problem statement, clearly articulate risk policies & risk tolerances, and communicate actionable insights from red teaming reports. The AI agents are used to generate diverse test cases, execute attack prompts on target models, evaluate system responses across risk dimensions, and generate comprehensive reports on AI system vulnerabilities.

Adversarial testing that challenges the AI with a diverse array of prompts delivers swift results. This solution provides transparency to proactively identify and mitigate potential AI threats, helping your innovations thrive safely and ethically.