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Fusion
Raw signals from identity, network, and workload telemetry are joined on shared entity vertices — not stacked in a queue. The case assembles itself as evidence arrives.
Temporal fusion joins raw signals across every domain into a single explainable investigation — before your analysts open a tab.
Raw signal field
→ fused on shared vertices in 17 minutes
Case CHR-2035-0412
At 06:17 UTC, a build token authenticated from a network it had never touched. Four minutes later the firewall saw the data leave. Finnity joined the two on a single vertex — and the alert became a case.
Security teams don't drown in attacks. They drown in fragments of attacks — ten thousand alerts, each one true, none of them a story. Finnity was built on a single conviction: the unit of security work is not the alert, it is the case. So we fused the telemetry first, resolved the entities first, and scored the assembled path — then handed your analyst a narrative instead of a queue.
The moment machine signal becomes a human story is the moment an investigation actually begins.
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Raw signals from identity, network, and workload telemetry are joined on shared entity vertices — not stacked in a queue. The case assembles itself as evidence arrives.
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Every fusion score decomposes into its contributing signals. Click any sentence in the case narrative and see the exact telemetry that produced it.
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Finnity flags harvested ciphertext and long-lived keys against post-quantum horizons, so a breach today is scored against decryption in 2035.