If you work in AI security — or you're trying to break into the field — you know the problem: good information is scattered across Twitter threads, conference talks, and buried in research papers. There hasn't been a single destination where you can go for practical, up-to-date content on securing AI systems.
aisecurities.uk is a new blog dedicated entirely to AI security. No fluff, no vendor pitches — just detailed technical content covering the threats that keep AI security teams up at night.
What's on the blog
The content covers the full spectrum of AI security:
- Threat landscape analysis — From prompt injection to data exfiltration, model inversion to membership inference. Real-world attack patterns with mitigations that actually work.
- LLM security deep dives — How to secure large language models in production. Guardrails, input validation, output monitoring, and the tools that help you sleep at night.
- Model poisoning and supply chain risk — The hidden threats inside third-party models and pre-trained checkpoints. How to build supply chain verification into your ML pipelines.
- Red teaming frameworks — Practical methodologies for testing your AI systems before attackers do.
Every post is written with the working security professional in mind — detailed enough to be useful, concise enough to read in one sitting.
Why this blog exists
AI security is evolving faster than most organizations can keep up. New attack vectors emerge weekly. The tools and techniques that worked six months ago are already being bypassed. aisecurities.uk exists to track that evolution and provide the community with actionable, vendor-neutral guidance.
The blog also cross-references closely related fields — microsegmentation for east-west traffic protection and WAAP security for web-layer defenses — through companion resources at microsegmentation.uk and waap-security.uk.
Start reading
Bookmark aisecurities.uk or subscribe to the RSS feed. New posts go up weekly.
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