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Short, practical reads on AI and data — from first principles to RAG, agents, MCP and AI security. Free, no sign-in.
35 guides in AI security
What AI security covers — attacks on models, data and AI applications — and how it differs from traditional security.
AI security 1 min read 30 Jun 2025 For people
An overview of the widely used list of the most critical security risks for applications built on language models.
AI security 1 min read 29 Jun 2025 For people
How people try to get models to bypass their safety training, common techniques, and layered defences.
AI security 1 min read 28 Jun 2025 For people
How attackers hide instructions in web pages, emails and documents that AI systems read, and why it's so dangerous for agents.
AI security 1 min read 27 Jun 2025 For people
How attackers corrupt training or fine-tuning data to change model behaviour, and how to protect data pipelines.
AI security 1 min read 26 Jun 2025 For people
How hidden triggers can be planted in models, why they're hard to detect, and how to reduce the risk.
AI security 1 min read 25 Jun 2025 For people
How tiny, carefully crafted changes to inputs can fool machine learning models, and approaches to robustness.
AI security 1 min read 24 Jun 2025 For people
How attackers steal models by copying weights or imitating them through queries, and how to protect model assets.
AI security 1 min read 23 Jun 2025 For people
How models can reveal information about their training data — membership inference, memorisation, inversion — and defences.
AI security 1 min read 22 Jun 2025 For people
Practical controls for agents that use tools and act autonomously: least privilege, isolation, approval and monitoring.
AI security 1 min read 21 Jun 2025 For people
Why model output must be treated as untrusted input to other systems, and how to avoid injection and unsafe actions.
AI security 1 min read 20 Jun 2025 For people
Keeping API keys, passwords and tokens out of prompts, training data and model reach.
AI security 1 min read 19 Jun 2025 For people
Managing the risks of third-party models, datasets, libraries and tools in AI systems.
AI security 1 min read 18 Jun 2025 For people
Protecting the servers, pipelines and files that train and serve AI models.
AI security 1 min read 17 Jun 2025 For people
How AI-generated audio, video and images are used in fraud and disinformation, and how organisations can defend.
AI security 1 min read 16 Jun 2025 For people
How attackers use AI to scale phishing, find vulnerabilities and automate attacks, and what it means for defenders.
AI security 1 min read 15 Jun 2025 For people
A structured way to identify how an AI system could be attacked or misused before building defences.
AI security 1 min read 14 Jun 2025 For people
Planning and running adversarial security tests against AI applications, and turning findings into fixes.
AI security 1 min read 13 Jun 2025 For people
What to log and watch in production AI applications to detect attacks, misuse and leaks.
AI security 1 min read 12 Jun 2025 For people
Preparing for and handling security incidents involving AI applications, models and agents.
AI security 1 min read 11 Jun 2025 For people