Growth in cybersecurity isn’t always good news — especially when it comes to detection volume. Without the proper infrastructure, a surge in detections can overwhelm analysts, stretch SLAs, and ultimately introduce more risk for customers.
At Cyflare, we’ve architected our SOC to handle scale differently. Over the past 12 months, we’ve tested that design—and the numbers speak volumes.
Between March 2024 and March 2025, detection triage volume grew from 59,372 to 158,807 — a 168% increase in a single year. In Q1 of 2025 alone, we went from 104,038 detections in January to 158,807 in March.
That kind of growth would stress most SOC teams, but for us, it reinforced the strength of our automation-first approach.
How We Handled It
Rather than scaling with headcount, we’ve leaned into intelligent systems, prescriptive playbooks, and relentless optimization. Today:
- 96.2% of all detections are automatically triaged using playbooks
- Only 4% escalate to analysts or customers
- Of those escalations, 99.7% are true positives (as verified by customers)
- Playbook-triaged detections are processed in just 2.48 minutes on average
- Escalated detections take 74.78 minutes — down from 172.39 minutes a year ago
Behind those numbers is a clear strategy: build for repeatability, enable analysts to focus on what matters, and keep customers out of the noise unless action is required.
People + Process > Headcount
Despite the massive growth in detection volume, our analyst team remains at around 60% utilization. We’ve added only a few new analysts in the past year — and most of those were to backfill team members who transitioned into SOAR engineering roles.
This is exactly the kind of scale story we want to tell:
- Growth supported by systems, not staffing
- Promotions and skill development is driven by process maturity
- Operational consistency without compromising response times or SLAs
Why It Matters
When a SOC lacks automation and well-defined playbooks, it becomes reactive by nature. Every spike in detections increases analyst fatigue, delays response times, and introduces risk. Customers feel it — and often, so does the business model.
At Cyflare, we’ve chosen a different path. By building a highly structured, deeply integrated triage process that blends human logic with automation, we’ve created a model that scales with precision.
We’re not claiming perfection. The threat landscape constantly shifts, and there’s always more to learn. But we are saying this: it’s possible to scale responsibly without sacrificing performance, customer experience, or your team’s well-being.
Final Thoughts
I’m proud of what we’ve built — and even more proud of how our team continues to evolve it. Thanks to the leadership of Eric Dowsland, Daniel Lennon, and Krunal Mahant, we have real-time visibility into how the SOC is performing at any given moment. That visibility drives better decisions — and better outcomes for our clients.
If you’re a partner or prospective customer reading this, I hope it gives you a sense of not just what we do but how we operate behind the scenes. These aren’t just metrics—they’re the result of intentional design, disciplined execution, and a commitment to doing things the right way.
Here’s to smarter security at scale,
Joe
