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AI-Generated Detections Under Attack: Testing Detection Engineering in the Real World What happens when you stop trusting a detection just because the query looks correct—especially when AI generates the detection logic? In this episode of Detection Dispatch, Pawel Mazur explores the reality of AI-assisted detection engineering, adversarial testing, Linux telemetry, EDR bypasses, and purple teaming. Instead of assuming a detection works, Pawel demonstrates why security teams need to run the attack, break the detection, and understand the telemetry before trusting the result. From using LLMs to generate detection logic to testing those detections against real adversarial behavior, this conversation takes a skeptical, hands-on approach to modern threat detection and detection engineering. 🔍 In This Episode • What AI-generated detection rules look like in practice—and why they can fail even when the logic appears correct • Why detection engineers should test queries against real-world adversarial techniques • How EDR bypasses and detection evasion can expose weaknesses in security monitoring • Why “don’t write code you cannot own” matters when using AI for detection engineering • How purple teaming and offensive security testing can uncover detection gaps that research and vendor content may overlook • Why Linux detection engineering requires a deeper understanding of how attacks generate telemetry • How changing filenames, paths, or execution methods can bypass seemingly effective detection rules • Why the telemetry you think you have isn’t always the telemetry you can actually hunt • How auditd and eBPF can provide valuable visibility when EDR telemetry isn’t enough • Where AI can genuinely improve detection engineering today—and where cybersecurity AI hype is getting ahead of reality 🎯 The Big Question If you didn’t run it, break it, and understand the telemetry it produced, how do you actually know your detection works? Modern detection engineering isn’t just about writing better queries. It’s about understanding attacker behavior, validating telemetry, testing detection logic, and continuously improving coverage through adversarial experimentation. 🛠️ Practical Linux Detection Resources Explore the Linux detection and auditing resources discussed in the episode: 🔗 FOR577 Audit MVP: https://for577.com/audit-mvp 🔗 auditd: https://github.com/neo23x0/auditd Subscribe to Detection Dispatch for practical conversations about detection engineering, threat hunting, adversary simulation, purple teaming, security operations, and the technologies shaping modern cybersecurity. #DetectionEngineering #Cybersecurity #ThreatDetection #ThreatHunting #PurpleTeaming #EDR #LinuxSecurity #SecurityOperations #AI #AIDetection #DetectionEngineeringAI #eBPF #auditd #MITREATTACK #CyberDefense

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