Identifying threats and data leakage requires deep inspection, extraction, and analysis of all forms of content. Security information based on logs, events and alerts have their limitations. The future of machine learning and data science for security is based on rich metadata at the content and context level. And depending on real-time prevention and detection, or retrospective analysis with new threat intelligence indicators, the metadata needs to be continuous, not generated hours or days later.
Fidelis Network goes well beyond its name by uniting real-time content analysis from five sensor locations (gateways, internal networks, email, web, and cloud) with DLP for network, email, and web traffic, plus email security including OCR of text within images. Context rich metadata also enables detection and threat hunting across a cyber terrain mapped continuously by Fidelis Network with asset profiling and classification. Open by design for threat intelligence feeds, it is the modern day core of your security stack