AI Security Labs

Your Hub for AI Red Teaming, Security Testing & Intelligence

Empowering security professionals with cutting-edge resources, methodologies, and intelligence for securing AI systems against emerging threats.

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AI Red Teaming

Adversarial testing methodologies for AI systems to identify vulnerabilities before they're exploited.

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Attack Vectors

Comprehensive database of AI-specific attack vectors including prompt injection, model inversion, data poisoning, and adversarial examples.

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Testing Frameworks

Structured methodologies and frameworks for conducting thorough red team assessments on LLMs, computer vision models, and AI agents.

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Case Studies

Real-world examples of successful AI red teaming operations, lessons learned, and effective remediation strategies.

AI Penetration Testing

Practical techniques and tools for security assessments of AI-powered systems and infrastructure.

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Assessment Methodology

Step-by-step guides for penetration testing AI APIs, model endpoints, training pipelines, and inference infrastructure.

  • API security testing
  • Model endpoint exploitation
  • Data pipeline vulnerabilities

Tools & Scripts

Curated collection of open-source tools and custom scripts for automated AI security testing and vulnerability scanning.

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Reporting Templates

Professional reporting templates and documentation standards for communicating AI security findings to stakeholders.

Auditing & Compliance

Navigate the evolving landscape of AI regulations and compliance requirements.

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Regulatory Frameworks

Comprehensive coverage of AI governance frameworks including EU AI Act, NIST AI RMF, ISO/IEC standards, and industry-specific regulations.

Audit Checklists

Detailed checklists and assessment criteria for evaluating AI systems against security, privacy, and ethical standards.

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Best Practices

Industry best practices for secure AI development, deployment, monitoring, and incident response procedures.

Threat Intelligence

Stay ahead of emerging AI security threats with real-time intelligence and analysis.

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Threat Landscape

Regular updates on the latest AI security threats, attack campaigns, and vulnerability disclosures affecting AI systems worldwide.

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Adversary Tactics

Analysis of threat actor behaviors, TTPs specific to AI systems, and attribution of AI-targeted attacks.

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Incident Response

Playbooks and response procedures for AI security incidents including model theft, data breaches, and service disruptions.

Public Resources

Free, community-driven resources to advance AI security knowledge and capabilities.

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Learning Materials

Tutorials, research papers, webinars, and training materials covering fundamental to advanced AI security concepts.

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Open Source Tools

Community-maintained tools, libraries, and frameworks for AI security testing, monitoring, and defense.

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Community

Join our community of AI security professionals. Share knowledge, collaborate on research, and contribute to open projects.