A practitioner’s hardening guide for MCP servers in 2026: OAuth 2.1 auth, least-privilege tool scopes, sandboxing, egress control, and the tool-definition pinning that blocks poisoning and rug pulls.
Martynas Vareikis
Martynas Vareikis
Martynas Vareikis is the AI Editor at Ransomnews. He covers the intersection of artificial intelligence and information security — from machine-learning models in defensive tooling to the adversarial use of LLMs by ransomware operators, deepfake-driven social engineering, and the rise of agentic threats. His reporting focuses on translating fast-moving AI research into practical guidance for defenders, journalists, and the broader security community. Reach Martynas via [email protected].
Deepfake vishing uses AI-cloned voices to defeat phone-based trust. Here is how voice-clone fraud works in 2026, what it costs, and how to stop it.
Washington cut Fable 5 and Mythos 5 for every foreigner. Meanwhile 34,814 stolen Claude sessions and 74,114 ChatGPT cookies already sit in infostealer logs. A citizenship gate is just KYC, and KYC loses.
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.
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.