Evidence-backed AI triage for your SIEM and XDR, with analyst review built in. Live in week one. No autonomous closures, ever.
MSSPs and in-house SOCs hit the same wall every shift. SOAR playbooks trim the easy cases. Volume, inconsistency, and burnout stay.
200–800 L1 alerts per day. The vast majority is low-fidelity noise. Analysts cannot review them all without losing focus.
Severity: CriticalAnalysts pivot between IP reputation, AD, host context, and SIEM consoles. Three to five browser tabs per alert.
5–10 min / alertDifferent analysts close the same alert differently. No documented triage logic means quality varies shift to shift.
Severity: HighFalse positives pile on top of real alerts. By the time a threat surfaces, dwell time grows.
Severity: HighAnalysts write ticket notes from scratch per alert. Without templates, context disappears when a case moves between analysts.
5–10 min / alertFatigue from repetitive low-value work drives attrition. Replacing a SOC analyst takes months and disrupts clients.
Severity: MediumTriage Beacon plugs into your existing SIEM and XDR, enriches every alert with context, and presents a structured recommendation your analyst confirms with one click.
Alerts stream in from your SIEM and XDR connectors. Raw payloads are normalized into a shared canonical schema.
IP reputation, user role, device compliance, host criticality, and related alerts in the past 30 days are gathered automatically.
The AI reasons over the evidence bundle and drafts a verdict with a confidence band and the exact fields that drove it.
Your analyst sees the recommendation, the evidence, and the confidence, then confirms or overrides with one click.
Case closed, escalated, or deferred. Full audit trail: verdict, override reason, and an auto-generated ticket note.
Every decision is explainable. Every verdict is overridable. Every action is logged.
Live alerts from your existing stack normalized into one canonical pipeline. Setup in hours, not weeks.
The model only uses the provided evidence bundle. It never invents facts. If evidence is insufficient, it returns inconclusive, not a guess.
Alert summary, evidence list, confidence score, recommended verdict, and override button. One focused view.
Three-tier policy: ≥0.75 recommend close/monitor, 0.50–0.74 send to review, <0.50 auto-escalate.
Customer A cannot see Customer B's alerts, evidence, or reports. Strict per-tenant isolation, tested and enforced. Essential for MSSPs.
Every verdict change, override, and escalation is logged with timestamp and actor. Searchable history for compliance and client reporting.
Automated reports showing alerts processed, top families, override rate, tuning changes, and open issues, ready to share with clients.
Deterministic context first: IP reputation, user role, host criticality, and related alerts from the last 30 days, attached to every case.
Ingestion → enrichment → AI verdict → human override → final action. A complete, auditable case history for every alert.
12 more families and capabilities scoped for this quarter. Here's what's in progress.
Every triage case resolves to one of four mutually exclusive verdicts. No vague "suspicious" labels that leave analysts guessing.
Analyst overrides are always possible. Every override feeds back into prompt tuning.
A focused 30-day engagement on your real alerts and real stack. No procurement maze. No annual commitment.
Live AI triage on your real alerts from day one. Weekly tuning. Measurable ROI at the close.
Limited spots. Starts with a 30-min discovery call to confirm fit.
We built this for security operators, not AI demos. Every design decision starts with one question: does this make the analyst more effective?
The model only uses the provided evidence bundle. Insufficient evidence returns inconclusive, not a confident guess.
Analysts see the full evidence list and reasoning behind each recommendation. Nothing is a black box. Override any decision in one click.
When analysts override a recommendation, that signal feeds back into prompt tuning. The system gets better on your specific alert mix.
We handle the connector, schema normalization, and prompt calibration. Your first AI triage verdict runs within 5 business days of kickoff.
Context is gathered via reliable lookups before the AI sees the alert. Reputation data, user roles, and host criticality are facts, not inferences.
Every prompt version is tracked and can be rolled back. Changes are tested against sample alert sets before they touch live triage.
Optional ca-central-1 deploy keeps every alert, case, and audit record inside Canada, aligned with PIPEDA, OSFI B-13, and Quebec Law 25 obligations.
The full console and auto-generated case notes are available in English and French. Per-user preference, built for Canadian SOC teams and Quebec-based MSSPs.
Each partner gets hands-on tuning across all 30 days. Spots stay small by design. Reserve yours before the quarter fills.
No commitment. 30-minute discovery call. We'll tell you honestly if it's a fit.