AI SOC platform that resolves alerts deterministically first and reasons only where needed

SOCNova, operated by SOCNova Bilisim A.S. from the technology park at Bolu Izzet Baysal University in Turkey, is built around a specific objection to how most AI SOC products work: sending every alert to a language model is expensive, slow, and produces verdicts nobody can reproduce. Its pipeline inverts that order. A deterministic first stage applies rules, deduplication and known false-positive patterns and closes the noisy majority with no inference at all. What survives passes into an Evidence Intelligence Layer that computes correlation, telemetry, campaign-clustering and business-impact signals by fixed logic, then fuses them with threat intelligence into an evidence bundle.

Only then does the platform reason. Six specialised workers each read the same bundle and assess one dimension of the case, covering threat, intent, impact, false-positive likelihood and MITRE ATT&CK mapping, and a synthesiser reconciles their outputs into one contradiction-checked verdict rather than accepting a single opaque model call. Because the model reads evidence rather than raw data, each verdict ships with a chain of reasoning and a decision trail that an analyst or an auditor can follow back to the signals it rests on. The platform runs entirely inside the customer's perimeter, including air-gapped, or as managed multi-tenant cloud, and is positioned for enterprises, MSSPs and MDR providers, government and regulated industries, with attention to KVKK, ISO 27001, ISO 42001 and PCI DSS obligations.