Facade: High-Precision Insider Threat Detection Using Deep Contextual Anomaly Detection · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2412.06700/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTFacade: High-Precision Insider Threat Detection Using Deep Contextual Anomaly Detection — mentioned by cneohttps://news.ycombinator.com/item?id=49157095urn:hackerpapers:mention:2412.06700:49157095Mon, 03 Aug 2026 15:29:30 GMT<p>Palace Cybersecurity | Founding Deep Learning Engineer | New York or US Remote Palace Cybersecurity secures large organizations from employees abusing cloud access privileges (Google Workspace, Microsoft SharePoint, Snowflake). We are commercializing Facade, a method for deep learning anomaly detection invented and deployed at Google (published at https://arxiv.org/abs/2412.06700). Looking for a senior/staff level engineer with &gt;5 YoE shipping production machine learning systems, and some experience with deep learning recommendation models. Prior experience in the cybersecurity domain is…</p><p><a href="https://hackerpaper.kaipfister.de/p/2412.06700/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CR