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.
Martynas Vareikis
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.
The EU AI Act, in force since August 2024 and phasing in through 2027, is the first comprehensive AI regulation in any major jurisdiction. Here is what it actually requires, who it applies to, and what organisations should be doing now.
Red teaming for traditional software is well-defined. Red teaming for AI systems borrows the term but operates differently. Here is what AI red teaming actually involves, the documented methodologies, and how to structure an effective exercise.
Should you build on a closed API like GPT-5 or Claude, or run an open-weight model like Llama 4 or Mistral on your own infrastructure? The choice has real security implications that go beyond cost and performance.