AI gave attackers machine scale. Now you have the advantage.
The dream SOC team. Working with you 24/7.
Attackers moved to machine speed first. Auto-generated phishing, scripted reconnaissance, and machine-triaged credential dumps compressed dwell time and buried real signal in noise. A security operations center (SOC) cannot answer that by hiring more analysts or writing more detection rules, because the talent market does not supply the first and rule volume does not scale to the second.
Exaforce is an agentic SOC platform that automates detection, triage, investigation, and response with expert analyst-grade accuracy at machine speed. Task-specific AI agents called Exabots reason over a living map of your environment rather than raw logs, so verdicts stay consistent and every one of them can be explained to an auditor, to a board, or to the analyst who has to act on it.
Most tooling sold as AI security wraps a frontier model around raw log data. That approach inherits inconsistent reasoning between runs, hallucination, and cost that climbs with every gigabyte ingested. Exaforce resolves events against structured context at ingest instead, so the AI reasons over an environment it understands.
Coverage spans identity, IaaS, SaaS, endpoint, email, and insider risk. Customers report a 90% reduction in false positives, a 95% reduction in mean time to investigate (MTTI), and more than $600K in average savings against a traditional SOC stack. Average alert-to-response sits under 30 minutes.
Run the platform with your own team, or have Exaforce MDR run it for you. Managed detection and response (MDR) uses the same Exabots your analysts would, 24/7, with humans in the loop on the decisions that warrant one. ExaGo, launched July 2026, puts the same operations in a voice-powered mobile app for the hours nobody is at a desk.
New to the category? Start with what an AI SOC actually is, or work through the common questions.