Security and compliance_
Running AI systems securely and within the rules: supply-chain risks, secrets, data leaks, regulation and what's going on in AI security.
Comparisons
How-to and explainers
All 4 in security and compliance
- How to prevent prompt injection in AI agents: what actually worksWhich prompt injection defences work for LLM apps and agents? Classifiers, output filters, model training, data separation, CaMeL-style isolation, least privilege, egress control, human approval and monitoring, each graded by its evidence: tested, lab guidance, vendor eval or vibes.
- Do AI providers train on your data? OpenAI, Claude, Gemini comparedWhether OpenAI, Anthropic, Google, Azure OpenAI, AWS Bedrock, Mistral, xAI and the open-model hosts train on your prompts, how long they keep them, and how to get zero data retention. API, consumer and business plans compared from each provider's own terms, read 29 October 2026.
- EU AI Act for developers: what you have to do when you build on AI modelsWhat the EU AI Act asks of apps built on API or open-weight models: provider or deployer, Article 50 labels and watermarks, high-risk rules, deadlines, fines.
- How to stop an AI agent with web access from leaking data: egress allowlists, DNS, proxies and logsLock down what an AI agent can reach online. Egress allowlists, DNS filtering, forward proxies, sandbox network controls and request logging, with configs.