Cybersecurity for AI Systems from First PrinciplesPost 19 of 19 · 19 of 19 written
- How to use this guide
- 01What security actually is
- 02How computers fail
- 03Networks
- 04Cryptography
- 05Identity and access
- 06Web and application security
- 07Cloud, infrastructure, supply chain, detection
- 08The bridge: why AI systems are different
- 09Adversarial machine learning
- 10LLM and generative AI security
- 11Agentic systems
- 12The ML supply chain and MLOps
- 13Privacy, governance and regulation
- 14Red teaming, evaluation, and AI for defense
- 15Worked example: threat-modeling an AI agent
- 16The question toolkit
- 17Learning path, practice, reading list
- 18Glossary
- 19Sources
19. Sources
Cybersecurity · 19 of 191 min readOct 2026
Cybersecurity · Post 19 of 191 min readOct 2026
Current framework and regulatory facts were checked on 30 October 2026 against these pages. Everything else reflects established knowledge and the papers named in Part 17.
- OWASP Top 10 for LLM Applications 2026 (official resource)
- Cycode: OWASP Top 10 for LLM Applications, 2026 guide
- OWASP Top 10 for Agentic Applications 2026 (official resource)
- Modulos: OWASP Top 10 for Agentic Applications (2026) summary
- ActuIA: AI Act obligations in force and delays under omnibus 2026/1744
- Ireland NCSC: EU Cyber Resilience Act reporting obligations