如何借助图技术增强网络安全威胁检测?
没有网络是100%安全的,攻击者正在用图思维进行攻击。迅速发现漏洞对于最大限度地减少损失至关重要,包括减少财务、运营和声誉方面的损失。TigerGraph图分析平台是建模和搜索这些模式的绝佳方法。TigerGraph提供了针对网络安全威胁的关键防御。
没有网络是100%安全的,攻击者正在用图思维进行攻击。迅速发现漏洞对于最大限度地减少损失至关重要,包括减少财务、运营和声誉方面的损失。TigerGraph图分析平台是建模和搜索这些模式的绝佳方法。TigerGraph提供了针对网络安全威胁的关键防御。
Accenture found that 68% of business leaders feel their cybersecurity risks are increasing. How graph analytics, machine learning, and visualizations can directly assist in the identification of threats in your environment? How TigerGraph can help you identify threats earlier?
Anna Veronika Dorogus
Machine Learning Expert
Anna Veronika Dorogush graduated from Lomonosov Moscow State University and Yandex School of Data Analysis. She used to work at ABBYY, Yandex, Microsoft and Google on Machine Learning infrastructure and Machine Learning frameworks. In 2017 she published the open-source library CatBoost, which is now one of top-3 most popular Gradient Boosting libraries, and the top 7-th most used Machine Learning framework in the world according to Kaggle 2021 review.