Cybersecurity practices for AI implementations are evolving, with many organizations developing processes and practices . Here are some free resources to assist you in securing the AI implementations. If you come across any other resources, please share in the comment section.
1) Multilayer Framework for Good Cyber Security Practices (FAICP) for AI ENISA – https://www.enisa.europa.eu/publications/multilayer-framework-for-good-cybersecurity-practices-for-ai
2) AI Cybersecurity Challenges – ENISA: https://www.enisa.europa.eu/publications/artificial-intelligence-cybersecurity-challenges
3) Cloud Computing Risk Assessment – CSA: https://www.enisa.europa.eu/publications/cloud-computing-risk-assessment
4) Guidelines for secure AI system development – NCSC: https://www.ncsc.gov.uk/files/Guidelines-for-secure-AI-system-development.pdf
5) From principles to practice: tools for implementing trustworthy AI – OECD: https://oecd.ai/en/tools-report
6) Cybersecurity of AI and Standardisation – ENISA: https://www.enisa.europa.eu/publications/cybersecurity-of-ai-and-standardisation
7) Guidance on AI and data protection – ico: https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/artificial-intelligence/guidance-on-ai-and-data-protection/
8) AI and data protection risk toolkit – ico: https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/artificial-intelligence/guidance-on-ai-and-data-protection/ai-and-data-protection-risk-toolkit/
9) MITRE ATLAS™ (Adversarial Threat Landscape for Artificial-Intelligence Systems): https://atlas.mitre.org/
10) AI Risk Management Framework – NIST: https://www.nist.gov/itl/ai-risk management-framework
11) OWASP AI Security and Privacy Guide: https://owasp.org/www-project-ai-security-and-privacy-guide/
