Insights on enterprise security automation, AI workflows, and the integration layer.
Research
The Integration Gap: Why 73% of Enterprise SOC Teams Are Working in the Gap
Our inaugural research report on the state of enterprise security automation. Survey data from 200+ SOC managers on tool fragmentation, manual handoffs, and the cost of the gap between detection and response.
What "AI-Native SOC" Actually Means — And What It Doesn't
Everyone's selling AI-native security. Most of it is a chatbot bolted onto a SIEM. Here's what real AI workflow build looks like: narrow agents, evaluated outputs, and guardrails your team controls.
The Playbook Pattern: How to Write Automation Your SOC Actually Trusts
Bad automation is worse than no automation. A practical guide to writing playbooks with explicit break-glass points, analyst-in-the-loop design, and rollback paths that work.
LLM Triage Accuracy Benchmarks: Evaluating AI Alert Classification in Production
Quantitative evaluation of LLM-based tier-1 triage across 50K+ historical alerts. Precision, recall, escalation rates, and the confidence thresholds that separate safe auto-resolve from dangerous overreach.
Zero Trust for the SOC: Why Your Internal Tools Need the Same Treatment
Your perimeter is zero trust. Your SIEM console is open to anyone on the VPN. How to extend zero trust principles to your security tooling — and why Cloudflare Tunnels are the right architecture.
Quandry Labs announces its founding offering: system integration, automation design, and AI workflow build for enterprise security teams operating in the gap.