Reduced Alert Fatigue
Connect the dots and retrace footsteps of threat actors. DNIF HYPERCLOUD uses cognitive machine learning and graph analytics to reduce hundreds of alerts down to a few threat campaigns.
MITRE ATT&CK® FRAMEWORK Alignment
Know what you can detect and what you can't. All threat content is mapped with the MITRE ATT&CK® framework. Case management will tell you campaign progression through the killchain.
Intuitive Search and Building Blocks
DNIF HYPERCLOUD provides the ability to query, search and build complex security analytics use cases using native query language or a simple GUI based query builder.
Use the power of pipelines much like python Jupyter notebooks.
Parse and extract fields from raw events at run time, apply retrospectively
There is nothing called Warm / Cold Storage, everything is HOT for 365 Days
Use pipelines to call in multiple logic blocks, create multi stage use cases
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Families of use cases, constantly evolving to match the changing threat landscape
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Connect to multiple cloud service providers and stream events in real-time
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Out of the box content to detect outliers using no code machine learning
Work with EVERYTHING You Need
Seamless integration with security devices, operating systems, cloud workloads and applications.
A Platform that you can TRUST
We make compliance a top priority for your organization and for ours. We have aligned our security controls and processes with industry best practices and work with third-party auditors to test our systems, controls, and processes regularly.
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Meet the Pioneers, Our Customers
Early investors who helped us move the needle, join this list
TATA CONSULTANCY SERVICES
"DNIF HYPERCLOUD has a library of UEBA models that are effective out of the box and also provides our data engineers the flexibility to develop custom ML / UEBA models that help reduce false positives in our fluid environment.
It was a great fit because of its ability to scale beyond 20TB per day with a minimal infrastructure footprint, without compromising on performance, retention or data resolution."
