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Explore The Golden Era of Deception feat. Andrew Morris with 23,200 views, 675 likes, and 2 comments. Experience the impact of this video content that has captured audience attention.

Andrew Morris joins Detection Dispatch to explore what happens when lying to attackers becomes one of the best ways to detect them. From GreyNoise sensors watching the internet at scale to Project Swarm turning real attacker traffic into data detection engineers can actually use, Andrew walks through why deception is having a moment. We get into honeypots, PCAPs, vulnerability exploitation, and what changes when attackers get better at recognizing the systems designed to catch them. We also dig into the other side of detection engineering: why offense experience can fundamentally change how you build detections, why AI generated rules are not enough on their own, and why the path to a useful detection increasingly looks like building the entire universe around the attack first. In this episode we get into: • Why offense has always led defense and how penetration testing shaped Andrew's approach to detection engineering • Why knowing how an attacker thinks changes the way you build and validate detections • Why asking an LLM to read a CVE and write a detection is tempting but fundamentally insufficient without real attack data • Building a detection engineering factory around enrichment, QA, and massive amounts of internet telemetry • How Project Swarm turns honeypots and sensors into a distributed source of raw attacker data • Why attackers are getting better at detecting honeypots and when you need to run the real software instead of pretending • The difference between a sensor and a profile and how separating where you collect data from what you run makes internet wide deception possible • Why network traffic can be the only evidence you have, especially when you're dealing with IoT and other devices where host visibility is limited • How threat hunters can use Project Swarm to find real exploitation, collect PCAPs, and build detections from what actually happened • The challenge of sharing threat intelligence without turning a community network into a source of duplicate or low quality data • Why deception is entering its golden era, especially as AI agents dramatically increase the speed and volume of malicious activity • How AI honeypots and compute theft are creating new opportunities for deception based detection and why deception is a means to an end, not the product itself • Andrew's vision for getting from reacting after an attack to detecting what is happening as it starts, using something closer to radar than traditional incident response • And the challenge Andrew leaves detection engineers with: can you look at a TCP/IP header and figure out whether that traffic came through a VPN? Project Swarm gives detection engineers and threat hunters a way to collect real internet traffic, study attacker behavior, and turn what they observe into better detections. Detection Dispatch (Alex's Version) is an independent detection engineering & threat hunting podcast. Rebuilt. Community-first. Featuring a lineup of the real and active projects pushing the limits of detection engineering, threat hunting, and everything in between. #DetectionEngineering #ThreatHunting #CyberSecurity #Cybersecurity #Honeypots #DeceptionTechnology #ThreatDetection #ProjectSwarm #GreyNoise #ThreatIntelligence #CyberThreats #NetworkSecurity #PCAP #AttackDetection #SecurityEngineering

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