SQUDO AI® — Autonomous SOC Alert Investigation, Explained to Verdict
Every alert, investigated to verdict.
SQUDO AI® autonomously reasons through your alerts the way a senior analyst would. It pulls the evidence, weighs the hypotheses, and shows its work. Swiss by design. Sovereign by default. Audit-ready for BNM RMiT, MAS TRM, OJK and PDPA. ISO 27001 aligned. EU AI Act ready. Swiss-hosted sovereign.
Faster to verdict: 80% less time to verdict per alert, vs. a typical SOC team.
Connects to your stack: QRadar, VirusTotal, Microsoft Entra ID, CrowdStrike, Microsoft Sentinel, Splunk, Palo Alto Networks, SentinelOne, IBM QRadar EDR, Okta, AWS, Elastic Security, Cortex XDR, Zscaler, ServiceNow, Recorded Future.
Key metrics: 12.3 min mean time to detect. 94% closed without escalation. 80% Tier 1 work automated. Swiss data residency.
Verdicts: MALICIOUS — confirmed threat, contain and escalate. SUSPICIOUS — warrants a human, full evidence attached. BENIGN — cleared with cited reasoning, auto-closed. INCONCLUSIVE — signal insufficient, telemetry gap flagged.
How it works: an investigation, run end to end. SQUDO AI® works the alert the way a senior analyst does, then hands a human the decision. Nothing acts without sign-off.
01 Triage — Picks up every alert from your EDR and SIEM the moment it fires.
02 Investigate — Runs multi-step queries across your cybersecurity stack and your context memory.
03 Verdict — Reaches a classification with a confidence score and the evidence behind it.
04 Recommend — Drafts actionable recommendations to respond to the attack.
05 Approve — A human analyst reviews the reasoning and signs off before anything runs.
Product proof: the SQUDO AI® console, live. The same dashboard your analysts use: MTTD, MTTA, MTTI and MTTC tracked in real time, every alert triaged to a verdict before your team opens it.
FAQ: How is SQUDO AI® different from SOAR playbooks? SOAR executes pre-written playbooks; SQUDO AI plans its own multi-step investigation per alert, adapts to the evidence, and documents its reasoning — no playbook library to maintain.
Can SQUDO AI run on-premise or air-gapped? Yes — sovereign SaaS, hybrid, or fully on-premise and client-managed. Your alert data stays inside your chosen jurisdiction and is never used to train shared models.
Is SQUDO AI aligned with BNM RMiT, MAS TRM and OJK? Yes — every investigation produces an audit-ready report mapped to BNM RMiT, MAS TRM, OJK and PDPA expectations, alongside ISO 27001 alignment.
ROI: plug in your alert volume, headcount and average investigation time. SQUDO absorbs the alerts your analysts can't reach, freeing up FTE capacity and labour cost you can redeploy to proactive work. Illustrative model: 2,000 alerts/day, 8 Tier-1 employees, 28 min per alert today — your 8 Tier-1 analysts can reach roughly 137 of 2,000 daily alerts; SQUDO investigates the other 1,863 — work that would otherwise take roughly 65 additional analysts. Roughly 130,833 annual employee hours freed for hunting, ≈ $5.6M equivalent annual labour value freed, per-alert investigation time fixed at around 12.3 min vs 28 min today. Model assumptions shown in full: 8-hour shifts, 250 working days per year, loaded cost = salary input, SQUDO investigates every alert in ≈ 12.3 minutes. 100% of alerts get a cited, explainable verdict.
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