The Data Layer is not a storage bucket. It is a living ecosystem, fed continuously by CyberFortress Threat Intelligence, by internal telemetry from every platform component, and by third-party intelligence sources.
That multi-source design is what lets a global view of attacker activity and your own internal behaviour patterns sit under one roof — and it is why a verdict from any module arrives already carrying context.
Terabytes of data processed by high-performance engines
Increase in threat visibility through enrichment
Reduction in false positive rate
Faster analyst action on real incidents
Hundreds of distinct sources, normalised into one model and correlated in real time.
Our own intelligence operation, informed by the malware we analyse at scale every day, giving the platform a current global picture of attacker infrastructure and tooling.
Logs, event records, sandbox verdicts, URL analysis results, endpoint telemetry, container behaviour and cloud activity — every module contributes what it sees.
External commercial and community feeds are ingested alongside the rest, so you are never limited to a single vendor's view of the threat landscape.
Models learn normal behaviour patterns from your own data and mark anomalies automatically, catching techniques that have never been published anywhere.
Enrichment is what separates an alert you can action from a line in a log file.
Terabytes a day arrive from hundreds of sources and are normalised into a single shared model.
Real-time correlation links related events across modules, time and assets into a single storyline.
Threat intelligence, historical context and behavioural baselines are attached, raising threat visibility by up to 95%.
Analysts act on contextual analysis rather than raw events — up to 10x faster, with 90% fewer false positives to wade through.
Shared data is what makes this a platform rather than a bundle of products.
Run a proof of concept and compare enriched incidents against the raw alerts your team triages today.