Build an LLM Application from First Principles

Secure LLM application architecture with API boundary, prompt builder, model inference, validation and audit

AI SECURITY · BLOG 16 A technical walkthrough of a small AI service that accepts a support ticket, calls a language model, validates the result and records evidence without turning the model into an uncontrolled decision-maker. AI Security Series · Part 1112 min readFor developers, security engineers & architects REFERENCE REQUEST PATHInput → inference → […]

The AI Security Operating Model: A 90-Day Roadmap

AI security operating model linking governance, control testing, monitoring and response

AI SECURITY · BLOG 15 The AI Security Operating Model: A 90-Day Roadmap The capstone of the KIS AI Security Series: how to turn principles, controls and testing into an operating model that improves every quarter. AI Security Series · Part 109 min readFor executives, risk owners & security teams AI SECURITY OPERATING MODELGovern it. […]

Testing AI Security: From Prompt Injection to Evidence

AI SECURITY · BLOG 14 Testing AI Security: From Prompt Injection to Evidence A practical testing programme for finding prompt injection, unsafe tool behaviour and weak controls before they become incidents. AI Security Series · Part 98 min readFor risk, product & security leaders AI SECURITY TESTING LOOPAttack the path. Capture the evidence. 01ModelMap assets, […]

Securing AI Agents: Permission-Aware Tools and Safe Actions

AI SECURITY · BLOG 13 Securing AI Agents: Permission-Aware Tools and Safe Actions A practical guide to giving AI agents useful tools without giving them unlimited authority over data, systems or business decisions. AI Security Series · Part 88 min readFor product, security & engineering teams AGENT SECURITY STARTERBound the action. Prove the result. 01IdentifyList […]