Native streaming integration for a hassle-free, real-time data ingestion into Google SecOps. Effective normalizing and structuring data to adhere to both native and Google’s UDM formats.
Out of the box library of context-aware volume reduction rule sets helping you achieve more than 35% data volume reduction in under 2 weeks.
Use volume reduction functions like aggregation and suppression to convert noisy logs like network traffic / flow into manageable insights that can be loaded in Google SecOps reducing both the volume and the overall time for queries to execute.
Seamless conversion into the UDM data model, native to Google SecOps, additionally facilitating flexible and faster downstream onboarding in Google SecOps.
Indicator Index to extract insights such as Security Observables (IP addresses, Domains, URLs, Hashes), Entity Relationships (Processes, Network execution, Registry modifications), and Intel Context. Use additionally derived context such as first observed / last observed time / frequency of observation to speed up data exploration and hunting.
Google SecOps customers can use additional Google services like Google Big Query, Cloud Storage to implement both a cost-effective and future-ready security architecture.
Use the DataBahn AI Ready framework to get your data cleansed, enriched, features extracted, and embeddings generated to build AI powered apps on top of your Google Cloud environment.
Discover how Databahn transforms your security incident mitigation and elevates threat-hunting efficiency, and improvement in speed, precision, and effectiveness.