https://www.cylance.com/en_us/products/our-products/protect----threatzero.html 产品介绍 关键！！！！
https://www.blackhat.com/docs/us-16/materials/us-16-Wolff-Applied-Machine-Learning-For-Data-Exfil-And-Other-Fun-Topics.pdf 实验室做的东西
https://www.slideshare.net/awright44/cylanceprotectfutureproofsecurity-math-vs-malware-technology-overview 他们主要做恶意文件检测，如何做的？？？
https://www.slideshare.net/centralohioissa/art-hathaway-artificial-intelligence-real-threat-prevention 介绍了恶意文件检测的静态特征提取，使用了神经网络模型！！！！！！！值得一看，和web安全强化学习书籍里提到的一致！！！
https://www.slideshare.net/PaulSweeney12/cylance-cyber-security-in-enterprise-presentation 终端防护为主
https://www.slideshare.net/Bitglass/security-o365-using-aibased-advanced-threat-protection
https://www.cylance.com/content/dam/cylance/pdfs/data_sheets/AI_ML_DataSheet.pdf 云端下发检测模型
https://www.pctidakar.org/book/1292451282/download-introduction-to-artificial-intelligence-for-security-professionals-the-cylance-press.pdf 还写了一本关于机器学习安全的书籍