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.
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].
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.
Every successful jailbreak prompt has a price. A look at the underground market for AI agent bypasses in 2026: who builds them, who buys them, and how the profit motive shapes the threat landscape.
Running models locally feels safer than sending data to OpenAI. Sometimes it is. Sometimes it isn’t. A practitioner’s breakdown of the actual security trade-offs between local and cloud AI deployments.
AI in security operations has graduated from vendor demoware to production reality, but only in three specific use cases. Here’s where AI is genuinely changing SOC work in 2026, and where it still doesn’t.
A practitioner’s account of building a local AI stack with OpenClaw, and discovering that out-of-the-box defaults turn it into a wide-open data exposure surface for prompt injection and remote compromise.