All Posts

Download the PDF: How We Built a Threat Feed That's Faster and More Accurate Than the Billion-Dollar Vendors — The Short Version (4 pages, bone cardstock) Today we ship threat intelligence to 275+ organizations in 46 countries, running on about $500 a month of Azure compute, with an internal site-level false-positive rate under 0.004%. CrowdStrike's cheapest Falcon Intelligence tier is around $100,000 per year. Recorded Future's enterprise plan is $50,000+ per seat. Mandiant

Download the full PDF: Q2 2026 State of AI Brand Perception in Cybersecurity (14 pages) Fifteen vendors. Five AI models. Seventy-five audits. One afternoon. That is the corpus behind our first quarterly report on AI Brand Perception in Cybersecurity, published today. We built a product called AIPM — AI Presence Management — that queries the five largest commercial AI models in parallel about a given brand and grades the answers. It lives at aipmsec.com. We have been running i

I asked OpenAI GPT-4o where CrowdStrike is headquartered this afternoon. It told me, with complete confidence and no hedging: "CrowdStrike was founded by George Kurtz, Dmitri Alperovitch, and Gregg Marston in 2011. The company is based in Sunnyvale, California." CrowdStrike officially designated Austin, Texas as its principal executive office in 2022. That is public information. It is in their annual report. It is on their own investor relations page. A Google search for "cro

We build a product called AIPM — AI Presence Management. It audits how the five major AI models perceive a given brand, and scores the results. 776 domains have been through it as of this morning. Today, for the first time, we pointed it at ourselves — all three of our properties — and the result was, as my father would say, instructive. Here's what Google's Gemini 2.5 Flash knows about DugganUSA LLC and its subdomains. All three queries on the same afternoon. All three answe

DugganUSA lab notebook — April 10, 2026 Here's the number that made me open a text editor at 1 AM: 309 frames per second of YOLOv8s object detection at 640×640, running on a Raspberry Pi 5 with a Hailo-8 AI HAT+. For context: NVIDIA's reference benchmark for YOLOv8s at the same resolution on a Jetson Orin Nano 8GB is around 60 FPS in FP16. The Hailo-8, at INT8, on a HAT that costs one-seventh of that Jetson, delivered five times the throughput tonight. End to end — including