System integration. Automation design. AI workflow build. We close the gaps between your security tools so they finally operate as a single, intelligent layer.
Your SIEM, SOAR, EDR, and ticketing systems were never designed to talk to each other. Every handoff between them is a gap where alerts die, context evaporates, and analysts waste cycles on copy-paste triage.
We build the integration layer. Bidirectional, real-time, maintained. Not another middleware product you have to manage — a purpose-built connection fabric designed for your specific stack configuration.
No vendor lock-in. No proprietary formats. Every connector we build ships with full documentation, source access, and a maintenance runbook your team can own outright.
Every manual handoff in your SOC is time your analysts spend not investigating. Detection-to-ticket: 12 minutes average, manually. Enrichment lookup: 8 minutes. Escalation routing: another 6. All automatable. All burning analyst hours.
We design playbooks, workflows, and automated response chains that reduce MTTR by 80%+ while keeping humans in the loop where judgment actually matters. No black-box automation your team can't trust or modify.
We build automation your SOC trusts because we start from their existing runbooks, not a template library. Every playbook is tested against real alert volume before production cutover.
80% of your alert volume is routine. Known patterns, known resolutions, known outcomes. Your L1 analysts are spending their cognitive budget on work a model can do faster, more consistently, and at 3AM without burnout.
We build LLM-powered triage agents, alert clustering models, and auto-resolve workflows that handle the routine 80% — so your humans focus on the 20% that actually requires judgment. Every model ships with eval harness, guardrails, and confidence scoring.
We don't deploy models without a kill switch. Every AI workflow includes confidence thresholds, mandatory human review for high-severity, and a full audit trail. Your team can override, retrain, or disable any component independently.
Raw alerts normalized, deduplicated, and enriched with contextual IOC data before any model touches them.
Custom-tuned model classifies severity, identifies attack technique (MITRE), and generates initial assessment with confidence score.
Related alerts grouped into incidents. Cross-entity correlation surfaces campaigns invisible at the individual alert level.
Low-confidence or high-severity: human escalation. High-confidence + routine: auto-resolve with full audit. Every decision logged.
A deliberate four-phase engagement. 12–16 weeks end-to-end. Every phase ships a signed artifact before we advance — so you know exactly what you're paying for at every step.
Stakeholder interviews, architecture review, current-state diagram of every tool, pipeline, and manual handoff in your security operation.
Gap analysis. Where your SIEM misses. Where alerts fall through. Where response slows. The unknown variable — named, measured, and priced.
Integration layer built, playbooks written, AI workflows trained and tested against your real traffic. Staged rollout with your team embedded.
Production cutover, analyst training, 30-day hand-on-the-wheel period, then a signed runbook and support retainer — or full handoff.
Book a 30-minute discovery call. We'll map your stack, identify the gaps, and show you exactly what Quandry closes — before you sign anything.
