Prompt injection is now the dominant attack vector against LLM-powered applications — and most teams shipping AI features don’t have a defensive playbook. We map the attack taxonomy, walk through real exploit patterns, and lay out the controls that actually contain the blast radius.
Martynas Vareikis
A step-by-step tutorial for wiring an MCP server into a WordPress site — using the AI Engine MCP adapter — so Claude, Cursor, or any MCP-compatible client can read posts, run admin tasks, and edit content. With auth, scope, and security hardening you actually need.
Model Context Protocol (MCP) is the emerging open standard for connecting AI assistants to tools, data, and live systems. This guide explains how MCP servers work, the architecture behind them, and how to build your first one — with security caveats security teams need to know.
A 2026 workflow for telling AI-generated phishing apart from real correspondence — combining email-header forensics, public LLM-detection classifiers, and DKIM/SPF replay analysis.
A practitioner’s tutorial for running Llama 3 70B locally with Ollama, Open WebUI, and the right hardware. Privacy-sensitive AI work without sending a byte to OpenAI or Anthropic.
A 2026 tutorial for running structured prompt-injection and jailbreak red-team tests against your own LLM application using NVIDIA Garak, Microsoft PyRIT, and Promptfoo. Open-source, repeatable, CI-friendly.
The EU AI Act’s enforcement window is open in 2026. Here’s what US companies actually need to do, ranked by risk tier and deadline, in plain English.
A practitioner’s look at how threat actors are wiring open-source LLMs and agent frameworks into their reconnaissance pipelines, what that means for defender visibility, and the detection signals that still work.
A practitioner’s field manual on prompt injection in 2026 — the four attack patterns that work against production LLM apps, the controls that actually mitigate them, and the test cases your red team should be running this quarter.
Shadow AI — the AI tools your employees use without IT’s blessing — is the 2026 version of shadow IT, and it’s leaking proprietary code, customer data, and internal strategy at a pace most security teams aren’t measuring.