Technical & strategic deep dives from the VanatorX team.
Long-form deep dives on validation, resilience, logging and detection AI.
Move beyond periodic, point-in-time assessments and embrace a dynamic, automated framework that guarantees detection sanity by continuously testing your defense…
Read MoreGo beyond the hype. This guide shows where AI genuinely helps detection engineering—by tackling data quality, expanding brittle patterns, and reducing toil—whil…
Read MoreAlert counts are a trap. If you can’t explain what an alert means, how fast you saw it, and whether it would still fire under stress, you are not measuring dete…
Read MoreThings break in production that never break in the lab. The gap is not your team’s competence—it’s the physics of fast‑moving systems. Resilience must be design…
Read MoreDetection is an inference game. If your data feed stutters or lies, the game is unwinnable. The most expensive detection rule is the one fed by missing or malfo…
Read MoreSecurity posture decays by default. If you don’t test continuously, you’re gambling that nothing important has changed since last week. In modern systems, that …
Read MoreYou can’t remove chaos from production—but you can route around it, absorb it, and even use it to harden detections. Treat chaos as a parameter to engineer agai…
Read MoreIf garbage goes in, silence comes out. AI can help with messy pipelines—but only when scoped to specific pain points and paired with measurement.
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