Software quality depends on comprehensive testing — AI is expanding what's possible by generating test cases, detecting flaws, and monitoring model behavior. Snyk applies AI to finding security vulnerabilities in code and container images before deployment. Lakera tests LLM applications for prompt injection and data leakage risks, while Patronus AI and Arthur AI run structured evaluations against LLM outputs. GitLab Duo and CircleCI integrate AI-assisted testing into the CI/CD pipeline.
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4.7
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4.7
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4.4
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4.3
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4.3
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4.3
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4.2
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4.1
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4.0
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4.0
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