A repeatable, low-effort monthly privacy audit you can finish in half an hour. No threat model required, no specialist tools, just the six checks that catch most of what matters.

A practical OPSEC checklist for indie security researchers, journalists, and bug-bounty hunters working from home. Network segmentation, hardware separation, identity hygiene, and the small habits that make the difference.

Three states, three approaches, one compliance headache. A 2026 comparison of California, Texas, and Florida privacy laws: what they require, who’s exempt, and how to comply across all three at once.

A vendor-neutral, jargon-free walkthrough of what EDR, XDR, and MDR actually do, and the three questions that decide which one your team should buy in 2026.

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 OSINT methodology for tracking ransomware infrastructure in 2026: the seven sources to monitor, how to correlate them, and the operational hygiene that keeps your work credible.