Red teaming and model evaluations | Anthropic — AI safety validation for enterprise teams building with AI

Stop deploying untested AI systems that could damage your business reputation, expose you to liability, or fail your customers.

What It Does for Your Business

Anthropic's red teaming and model evaluation service helps your team systematically test AI systems before they go live. Instead of discovering problems after launch, you get structured security testing, bias detection, and performance validation that uncover weaknesses in your AI implementation. This is critical if you're building customer-facing AI tools, automating sensitive business processes, or integrating large language models into your operations.

The service provides your team with expert adversarial testing—simulating real-world attacks and edge cases that your AI system might encounter. You'll receive detailed evaluation reports showing exactly where your AI falls short, what risks exist, and how to fix them before customers are affected. For small businesses scaling AI operations, this prevents costly post-launch failures, regulatory issues, and customer trust damage that can cost thousands or tens of thousands in remediation.

Key Features

• Adversarial Testing — Security experts probe your AI system to find hidden vulnerabilities, jailbreaks, and failure modes before production
• Bias and Fairness Evaluation — Identifies discriminatory outputs or unfair behavior that could expose your business to complaints or compliance issues
• Performance Benchmarking — Tests accuracy, reliability, and consistency across different use cases and customer segments
• Detailed Evaluation Reports — Get specific, actionable findings showing exactly what risks exist and prioritized recommendations to fix them
• Custom Test Scenarios — Tests tailored to your actual business use case, not generic AI safety checks
• Compliance Documentation — Generates reports suitable for internal audit, customer due diligence, or regulatory compliance files

Best For

SaaS companies deploying AI features, agencies building AI tools for clients, healthcare and financial services firms using AI for decisions, e-commerce businesses using AI for recommendations or customer service, insurance companies automating claims, law firms automating legal research, and any small business where AI failures could harm customers or expose the company to liability.

Pricing

Custom pricing based on scope and complexity of your AI system. Contact Anthropic directly for a quote.

Business ROI

Red teaming prevents expensive post-launch failures. A single AI-related incident—failed customer experience, regulatory fine, or reputational damage—costs small businesses $50,000 to $500,000+ to fix. By catching problems during testing, you save weeks of emergency fixes, customer support escalations, and potential legal exposure. For teams building AI products, evaluation reports also accelerate customer sales cycles by providing proof of safety and reliability—shortening deal cycles by 2-4 weeks and increasing close rates by giving prospects confidence in your system's integrity.