Graph neural networks
Graph models that connect events across users, hosts and applications.
ARRTECH SIEM and AI Detection
How do graphs reveal multi-step attacks?
A multi-step attack can look harmless one step at a time. ARRTECH SIEM and Cyberdroid AI Detection model how events relate, so the path is visible.
See the methodMethod
A graph represents entities and the relationships recorded between them, making connections across events easier to examine.
Graph neural networks and other models search the graph for anomalies and multi-step attacks.
Each threat appears with its neighbors, which an analyst can filter.
A graph query language lets hunters ask how entities connect.
Cyberdroid AI Detection also checks the graph for unusual relationships, near-hourly.
Measures
A proof of value measures precision, false positives, duplicates and latency on representative data.
Limits
A relationship does not prove intent, and a score only ranks the queue. Activity shaped to look normal can still pass.
Sources
Related
Products
Connects security activity into a signed record, giving incident decisions and board reporting evidence that can be independently verified.
Finds changes in behavior that predefined rules miss, connecting the signs of an attack so teams can understand what warrants action.
