AI Security
AI / LLM security — prompt injection, data poisoning, agent threat models, building trustworthy AI, optimisation, and the architecture of trending AI products.
Agentic AI Hits Production in 2026 — and MCP + A2A Just Rewrote the Threat Model
The Model Context Protocol and Agent-to-Agent orchestration turned AI from a chatbot into an autonomous operator. Your threat model has to follow.
AI SecurityAI Red Teaming in Production: garak, PyRIT, and the OWASP LLM Top 10
A programmatic AI red-team capability for production LLM deployments. garak probes, PyRIT campaigns, promptfoo CI integration, and OWASP LLM v3 in operational…
AI SecurityScenario Brief: MCP SDK Authentication Bypass — Tradecraft and Mitigation
Tabletop-ready scenario: a hypothetical auth-bypass in the Model Context Protocol reference SDK. What an MCP server compromise looks like and how to…
AI SecurityScenario Brief: AI-Powered Phishing Tradecraft Targeting Indian Fintech
Tabletop-ready threat scenario: LLM-generated spear-phish plus deepfake voice calls against Indian payment aggregators. Kill chain, detection signals, and CISO actions.
AI SecurityThe Future of Agentic AI: Claude, MCP, Autonomous Systems, and AI Operations
Where agentic AI is heading — sub-agent orchestration, computer use, persistent agents, the MCP ecosystem, and the AIOps transformation. Practitioner forecast and…
AI SecurityClaude AI Infrastructure: GPUs, Context Windows, Scaling, and Inference Systems
What runs Claude — GPU clusters, inference engines, context-window engineering, prompt caching, batching, and the production infrastructure patterns enterprises need to know.
AI SecurityPrompt Engineering for Claude: Advanced Techniques and Security Defenses
Production prompt engineering for Claude — advanced techniques (few-shot, chain-of-thought, tool prompts), eval-driven development, and the prompt-injection defenses that matter.
AI SecurityEnterprise AI with Claude: Real-World Deployment Architecture Guide
A complete architecture guide for enterprise Claude deployments — RAG, observability, cost engineering, identity, audit, DPDP compliance, and the patterns that actually…
AI SecurityConstitutional AI Explained: How Anthropic Builds Safer LLMs
A technical explainer on Constitutional AI — Anthropic's alignment method behind Claude. RLAIF, the constitution, how it differs from RLHF, and what…
AI SecurityAI Security Risks in Claude and Long-Context LLMs: A Practitioner Guide
Long-context LLMs like Claude introduce specific security risks — many-shot jailbreaks, context poisoning, indirect injection at scale. Practitioner guide to threat model…