🚀 Open-source RAG evaluation and testing with Evidently. New release

LLM red-teaming and adversarial testing

Stress-test and harden your AI against unexpected inputs, manipulation, and attacks.

AI safety

Test AI under pressure

Find weaknesses before attackers do. Ensure your AI can handle edge cases, adversarial prompts, and deceptive inputs.

Expose security threats

Detect jailbreaks, prompt injections, and data leaks.

Protect brand integrity

Catch AI responses that could damage reputation and trust.

Test beyond the happy path

Simulate real-world misuse that traditional testing misses.

Ensure AI aligns with policies

Validate AI against operational, security and industry standards.

Evidently AI Evaluation for LLM-based systems

Synthetic data

Generate adversarial tests

Create targeted datasets to simulate attacks, tricky questions, and policy violations.

Customizable scope. Tailor tests to your use case, product, and risks.

Synthetic attacks. Generate exploits to stress-test AI defenses.

Edge case testing. Design vulnerabilities unique to your use case.

Evidently AI Testing for LLM

Tests

Evaluate for safety

Run automated evaluations to ensure your AI is secure and resilient.

Automated grading. Assess responses against safety, security, and brand policies.

Custom LLM judges. Align evaluation criteria with internal standards.

Quantify risks. Score AI performance and failure rates.

Evidently AI Evaluation for LLM-based systems

Reports

Understand results

Get clear insights into vulnerabilities and performance gaps.

Risk evaluation. Pinpoint weak spots in AI behavior.

Failure breakdowns. Analyze unsafe responses and failure patterns.

Continuous testing. Monitor risks with ongoing evaluations.

How it works

Test for critical AI risks

Select adversarial test cases that align with your product, industry, and risk profile.

Harmful content

Detect toxic, profane, or non-compliant responses.

Forbidden topics

Block AI from offering financial, legal, or medical advice.

Brand image risks

Prevent critical comments, competitor praise, or off-brand messaging.

Misleading offers

Ensure AI doesn’t generate false commitments or guarantees.

Hijacking

Test resilience against out-of-scope or manipulative requests.

Prompt leakage

Prevent exposure of hidden system instructions.

Start testing your AI systems today

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