NS Edge
The Problem
Medium to large organizations have multiple sources of cyber data: endpoint agents, network monitoring, perimeter defenses, vulnerability scanners, etc. These cyber data sources are uncorrelated, inconsistently formatted, and lack the enterprise-wide context to allow any meaningful estimation of risk or interpretation. Instead, they’re dumped into a central tool (Splunk, Elastic Stack, Snowflake, etc.).
Our Solutions
Typical SIEM Ingest
The uncorrelated, unenriched cyber data in your data lake is slowing down your teams, blinding you to threats, and the cost of it will grow exponentially in the future
NS-Edge Data Observability
NS EDGE combines Unsupervised Machine Learning with the most powerful and efficient data observability platform on Earth to make your Cyber teams more productive, your detections faster, and customer’s system costs will go down up to 90%.
Take comfort in your organization
Advantages
- Alert known-bad indicators instantly on ingest; Remember when and where you first saw something
- Cutting-edge RUST-based solution
- Handle massive amounts of data
- Aggregate data from numerous log sources
- Stop threats before they compromise valuable data and assets
- Scaling: Low processing power and memory
- Machine Learning to put the information into a human context and extract vital intelligence about cyberthreats.
"NextGen" SIEM
- Easier scalability compared with similar products
- Agnostic – integrates with existing tooling
- Reduce flow storage to a bare minimum (1000:1 ratio) and processing power up to 90% without tradeoffs
- ML algorithms to detect anomalous behavior
- Lighting fast data parsing
- All logs in a common logging schema
- Predicts the probable paths of an intruder
- Reduces false positives / alert fatigues