Our framework for reporting model misalignment
Framework for tracking, investigating, and disclosing AI model misalignment.
Security and governance tools designed specifically for AI/ML systems — adversarial attack defence, model auditing, and compliance automation
Looking for an in-depth guide?
Our curated list ranks every major AI security platform with editorial notes on use case fit.
AI Security & Compliance tools help organizations protect machine learning models from attacks, audit their behavior, and meet regulatory requirements. These tools are used by ML engineers, data scientists, and compliance teams who need to ensure their AI systems are safe, fair, and auditable. They address critical gaps in model robustness, data quality, and governance that standard security tools don't cover.
ML teams securing production models
Machine learning engineers use these tools to monitor deployed models for adversarial attacks and data drift that could degrade performance or enable exploitation.
Compliance and risk officers
Compliance professionals rely on these platforms to generate audit trails, document model decisions, and prove adherence to regulatory requirements for AI systems.
Data quality and governance teams
Data scientists and governance teams use these tools to identify poisoned training data, detect bias, and ensure dataset integrity before models are trained.
Evaluate pricing against model complexity
Compare costs based on the number of models you need to protect and the frequency of audits or monitoring required. Some tools charge per deployment while others use consumption-based pricing.
Check ease of integration with your stack
Look for tools that work with your existing ML frameworks (TensorFlow, PyTorch, Scikit-learn) and deployment platforms without requiring major code rewrites.
Verify compliance standard coverage
Confirm the tool supports the specific regulations you need to meet, such as GDPR, HIPAA, SOC 2, or industry-specific AI governance frameworks.
Test detection of adversarial threats
Assess how well the tool identifies poisoned data, model evasion attacks, and bias issues relevant to your use case before committing.
Framework for tracking, investigating, and disclosing AI model misalignment.
Detects AI-generated voice and video scams in real time.
Cisco uses OpenAI to detect and respond to network threats automatically.
OpenAI's analysis of defending AI models against coordinated extraction attacks.
AI-powered vulnerability detection and patching for open source projects.
Coordinates security researchers and maintainers to patch critical vulnerabilities faster.
Framework for safely developing powerful AI models with security safeguards.
Prompt injection detection and prevention for AI applications
Sophos uses AI to automate security threat investigation and response.
AI for sustainability reporting and ESG compliance automation
AI-assisted vulnerability discovery and remediation using OpenAI models.
API requests not stored or used to train models.
News coverage of Microsoft's security patch initiatives and AI vulnerability detection.
Compliance software helping government contractors meet federal requirements.
AI-powered cybersecurity tools for Ukraine's civilian defense infrastructure.
Protects LLM applications from prompt injection and adversarial attacks.
Framework for using advanced AI to strengthen cybersecurity defenses.
OpenAI's election integrity initiatives for 2026 global elections.
AI-powered vulnerability detection and patching for open-source software.
OpenAI's approach to responsible AI governance and safety practices in Europe.
Robots.txt standard for websites to opt out of AI training.
Cybersecurity-focused AI model for authorized vulnerability research and defense.
Open-weight trillion-parameter model for cybersecurity threat detection and defense.
OpenAI's cybersecurity evaluation framework for AI model vulnerabilities.
Framework for tracking, investigating, and disclosing AI model misalignment.
Detects AI-generated voice and video scams in real time.
Cisco uses OpenAI to detect and respond to network threats automatically.
OpenAI's analysis of defending AI models against coordinated extraction attacks.
AI-powered vulnerability detection and patching for open source projects.
Coordinates security researchers and maintainers to patch critical vulnerabilities faster.
Framework for safely developing powerful AI models with security safeguards.
Prompt injection detection and prevention for AI applications
Sophos uses AI to automate security threat investigation and response.
AI for sustainability reporting and ESG compliance automation
AI-assisted vulnerability discovery and remediation using OpenAI models.
API requests not stored or used to train models.
News coverage of Microsoft's security patch initiatives and AI vulnerability detection.
Compliance software helping government contractors meet federal requirements.
AI-powered cybersecurity tools for Ukraine's civilian defense infrastructure.
Protects LLM applications from prompt injection and adversarial attacks.
Framework for using advanced AI to strengthen cybersecurity defenses.
OpenAI's election integrity initiatives for 2026 global elections.
AI-powered vulnerability detection and patching for open-source software.
OpenAI's approach to responsible AI governance and safety practices in Europe.
Robots.txt standard for websites to opt out of AI training.
Cybersecurity-focused AI model for authorized vulnerability research and defense.
Open-weight trillion-parameter model for cybersecurity threat detection and defense.
OpenAI's cybersecurity evaluation framework for AI model vulnerabilities.