What matters
Multi-agent triage and investigate alerts at machine speed, suppressing false positives so analysts only see real threats.
A multi-agent AI workforce that triages, investigates, and responds at machine speed, with every decision explainable and auditable.
Most platforms wrap a generic LLM around security alerts. Hexory-LLM is different. It was trained from the ground up on real SOC decisions — triage verdicts, investigation traces, and analyst actions — so its reasoning reflects how experienced security teams actually think. The result is a model that understands context, surfaces evidence on both sides of a verdict, and never hides behind a confidence score without explaining why.
Built exclusively on real SOC decisions — triage verdicts, investigation traces, and analyst responses. Not fine-tuned on web text. Every inference grounded in security logic.
Deployed inside your perimeter. Your alerts, your decisions, your data never leave your environment. Deploy on public cloud, private cloud, or fully air-gapped — wherever your policy requires.
Native bilingual reasoning in Arabic and English. Threat narratives, analyst reports, and escalation summaries delivered in the language your team works in.
Every decision carries a full reasoning trace, evidence weights, and an audit log. Satisfies regulators who ask: why was this alert escalated, and who approved it.
Hexory-LLM learns from every HITL feedback loop in your environment. The longer it runs, the sharper it gets on your attack surface and your tolerance thresholds.
Every verdict surfaces a confidence score with the reasoning behind it. The model tells you when it is uncertain — so you know when to act and when to review.
Hexory promotes itself through three stages of autonomy, gated by measurable performance against your environment. You see the criteria. You watch the platform earn each promotion. Nothing is assumed.
Promotion criteria are evaluated continuously. Trust Score combines accuracy, agreement with analysts, and false-positive performance. Stages are reversible: if metrics drop, autonomy is reduced automatically.
Multi-agent triage and investigate alerts at machine speed, suppressing false positives so analysts only see real threats.
Specialized AI agents chase down evidence on prioritized cases, every hypothesis, every pivot, every conclusion attached to its reasoning trace.
Agents act on what they’ve proven they can handle. Anything novel is escalated. Every action is logged, reviewable, reversible.
Every triage. Every escalation. Every conclusion. With full reasoning you can audit.
User amir-david accessed low-prevalence domain signin.accounts-gooqle.com from IP 104.215.148.63. Agent escalated to Tier 2 — credential harvesting pattern identified.
Multi-agent triage filters obvious noise at machine speed, surfacing only what genuinely needs human attention. Every alert that reaches the HITL queue arrives with a structured verdict: Hexory Summary, Threat Assessment, Affected Assets, and the evidence both for and against the AI's recommended action.

Live screen from the Hexory platform. Customer-identifying values redacted.
of organizations name false positives their #1 detection challenge
of SOC analysts report burnout
average SOC analyst tenure — among the shortest in IT
daily alerts at enterprise scale, with 50–80% false-positive rates
$1M–$2M annually to operate a 24/7 Tier-1 SOC
We don’t sell features. We replace broken assumptions.
Run Hexory on public cloud, sovereign cloud, hybrid, or fully on-premises. The platform is cloud-agnostic and Kubernetes-native — your infrastructure choice, not ours.
Hexory-LLM is not a general-purpose model wrapped around alerts. It was trained from the ground up on real SOC decisions — so its reasoning reflects how experienced security teams actually think.
30 minutes. Real telemetry, real triage. You decide whether the numbers we just claimed hold up against your alert backlog.