The agentic AI SOC.
Solomon SOC investigates every alert like a senior analyst — forming hypotheses, gathering evidence, correlating across your telemetry — and escalates only what needs your judgment. A team of specialist agents, an operator in control of every action, deployed on your infrastructure.
From alert fatigue to investigated answers.
The average enterprise SOC receives thousands of alerts a day, with false positive rates exceeding 45%. Analysts spend their time triaging noise; real threats slip through not because analysts are bad, but because the volume is humanly unmanageable.
Solomon SOC replaces repetitive triage with autonomous agents that investigate every alert, distinguish true threats from noise, and hand off a complete investigation package — evidence, reasoning, recommendation — for the events that need a human. Mean-time-to-respond compresses from hours to seconds. Analyst attention concentrates on the events that matter.
A named team of specialist agents.
A supervisor orchestrates four specialist agents — each the reasoning equivalent of a senior analyst in its domain. A fifth, Sentinel, gates every remediation before it reaches a human. They share context, build on each other's findings, and converge on a verdict.
Spectre
Hunts advanced persistent threats and anomalous behavioral patterns across telemetry. Surfaces attacker tradecraft before signatures exist.
Cipher
Reverse-engineers malware, analyzes script entropy, and enriches indicators of compromise. Turns binaries into verdicts.
Argus
Monitors network flows, detects lateral movement, and identifies command-and-control patterns. Sees what the perimeter misses.
Sentinel
Monitors identity anomalies and privilege escalation. Every containment routes through Sentinel before it reaches a human approver.
Six commitments, enforced in the architecture.
Reasons like a senior analyst
A supervisor orchestrates specialist agents that form hypotheses, gather evidence, correlate context, and reach a verdict. Each agent behaves like a senior analyst in its domain — the system plans and executes an investigation, it doesn't match a rule.
Only what matters reaches reasoning
Raw telemetry is statistically pre-filtered so that roughly the top 1% of anomalous events ever reach cognitive reasoning. This is what makes an autonomous SOC economically viable at enterprise scale — inference cost cut by orders of magnitude, analyst attention concentrated on the events that matter.
Probabilistic AI, governed by hard rules
Every reasoning output passes through a deterministic safety boundary before it can reach an actuator. The probabilistic and deterministic layers are deliberately never merged, so the system fails safe — governed autonomy, not reckless automation.
You approve every action
Any containment, remediation, or control action requires explicit operator approval. You see the full reasoning chain, the evidence, and the recommendation before you approve, revise, or reject. Every decision is logged, reversible, and audit-ready.
Telemetry never leaves your perimeter
All inference runs on hardware you own and control. Air-gapped and on-premises deployment is supported for the most restricted, regulated, and classified environments — not as a degraded mode, but as the architecture.
Per-tenant isolation, resilient response
Physical database-per-tenant isolation and a remediation model where endpoint agents establish outbound-only control tunnels — so hosts behind NAT and firewalls can still be isolated, and offline commands reconcile automatically on reconnect.
Schedule a guided proof-of-concept.
See Solomon SOC investigate live alerts, hand off to a human approver, and respond — running on infrastructure you control.