CYREBRO, an ML-powered Managed Detection and Response (MDR) solution, has collaborated with Google Cloud to design a precision-guided security data lake and detection engine to provide clients quality threat insights and fast response capabilities. By harnessing the power of Google Cloud's big data and machine learning capabilities, CYREBRO significantly decreases mean time to detect (MTTD), reducing false-negative and false-positive rates. Investigations triggered by ML-based algorithms allow SOC analysts to better focus on the most relevant security threats, shorten mean time to respond (MTTR) and reduce business risk.
Key New Benefits
- Time-to-value (TTV) of mere hours allowing clients to easily and quickly connect systems to CYREBRO
- Worldwide data localization to support clients' ever-changing regulatory requirements
- Ability to directly query log sources within milliseconds
The collaboration will also allow CYREBRO users going forward to generate customized reports according to their needs, or leverage LLM to perform complex queries directly in the platform.
"CYREBRO's collaboration with Google Cloud has brought a new level of performance to our MDR solution, delivering high precision detection and response," said CYREBRO Co-Founder and CEO Nadav Arbel. "With our enhanced machine learning capabilities, CYREBRO users and channel partners can benefit from a robust infrastructure that will evolve to continuously serve their needs in the future."