Cybersecurity & AI: A Lawyer's Bibliography

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This bibliography is intended as a resource for lawyers working in cybersecurity and artificial intelligence. The following tables loosely group relevant publicly available materials into five general (and, in some cases, overlapping) categories. The following materials are not intended to be comprehensive and are primarily issued by government agencies, technology think tanks, and industry consortiums. The materials below are only meant to provide a starting point in a very dynamic field: numerous other resources are available, including those that are more technical in nature or that are provided by developers of AI systems.

Please note that the materials below may have been updated or moved since this document was last updated in July 2025.

Cyber Threats and AI Systems

Organization Publication
NIST NIST AI 100-2e2025, Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations (March 2025)
FBI FBI Warns of Increasing Threat of Cyber Criminals Utilizing Artificial Intelligence (May 2024)
New York Department of Financial Services Cybersecurity Risks Arising from Artificial Intelligence and Strategies to Combat Related Risks (October 2024)
Federal Office for Information Security (Germany) AI Security Concerns in a Nutshell (September 2023)
Federal Office for Information Security (Germany) How is AI Changing the Cyber Threat Landscape? (April 2024)
OECD Defining AI Incidents and Related Terms (May 2024)
OWASP OWASP Top 10 for LLM Applications 2025 (November 2024)
OWASP Agentic AI - Threats and Mitigations, OWASP Top 10 for LLM Apps & Gen AI Agentic Security Initiative (February 2025)
MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems)
Center for Security and Emerging Technology Issue Brief: Cybersecurity Risks of AI-Generated Code (November 2024)
Center for Security and Emerging Technology Policy Brief: Anticipating AI’s Impact on the Cyber Offense-Defense Balance (May 2025)
Center for Security and Emerging Technology Issue Brief: How to Assess the Likelihood of Malicious Use of Advanced AI Systems (March 2025)

Risk Management

Secure Development, Training, and Testing

Organization Publication
NIST NIST SP 800-218A, Secure Software Development Practices for Generative AI and Dual-Use Foundation Models: An SSDF Community Profile (July 2024)
NSA, CISA, and Global Partners AI Data Security: Best Practices for Securing Data Used to Train & Operate AI Systems (May 2025)
UK NCSC, CISA and Global Partners Guidelines for Secure AI System Development (November 2023)
UK Department for Science, Innovation & Technology Code of Practice for the Cyber Security of AI (January 2025)
Center for Security and Emerging Technology How to Improve AI Red-Teaming: Challenges and Recommendations (March 2025)

Secure Deployment

Organization Publication
NSA, CISA, and Global Partners Deploying AI Systems Securely: Best Practices for Deploying Secure and Resilient AI Systems (April 2024)
UK NCSC Principles for the Security of Machine Learning (August 2022)
Australian Cyber Security Centre, CISA and Global Partners Engaging with Artificial Intelligence (AI) (January 2024)
European Parliamentary Research Service At a Glance: Artificial Intelligence and Cybersecurity (April 2024)
ENISA Multilayer Framework for Good Cybersecurity Practices for AI (June 2023)
ENISA Securing Machine Learning Algorithms (December 2021)
European Telecommunications Standards Institute (ETSI) ETSI GAR SAI 009, Group Report, Securing Artificial Intelligence (SAI); Artificial Intelligence Computing Platform Security Framework (February 2023)
European Telecommunications Standards Institute (ETSI) ETSI GR SAI 007, Group Report, Security Artificial Intelligence (SAI); Explicability and Transparency of AI Processing (March 2023)
SANS Institute DRAFT: Critical AI Security Guidelines, v1.1 (April 2025)
Center for Security and Emerging Technology Workshop Report: Securing Critical Infrastructure in the Age of AI (October 2024)

Incident Preparation

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For questions relating to this bibliography, please contact Partners Stephen Lilley or Ana Hadnes Bruder.

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