Cienaga Systems
Small Florida-based startup offering APEX, an AI-driven network detection and response platform for mid-market enterprises and managed service providers.
Visit Website ↗ + Add to CompareOverview
Cienaga Systems is a small Florida-based security operations vendor building APEX, a cloud-native, AI-driven network detection and response (NDR) platform aimed at mid-market enterprises and managed service providers. The company is led by founder and CEO Inigo Merino, whose background spans AWS, Merck/MSD, and Deutsche Bank, alongside a small technical team drawn from machine learning and data engineering backgrounds.
APEX applies machine learning to network telemetry to detect threats and automate incident response, with a multi-tenant console built specifically for MSPs managing multiple client environments, plus built-in compliance reporting mapped to NIST, SOC 2, HIPAA, and PCI DSS frameworks. The company also offers DejaVu, a managed threat-hunting-as-a-service offering pitched at compressing forensic investigation timelines and, per the company, reducing cyber insurance costs through improved visibility.
Cienaga is a genuinely early-stage company: public records put it at around six employees with roughly $300,000 in disclosed funding and under $1 million in revenue, and no named enterprise customer case studies were found in public reporting. Marketing claims like "99.7% accuracy" and sub-one-second detection times are vendor-stated figures without independent benchmarking behind them. The underlying NDR/threat-hunting concept is sound and addresses a real market need, but the company’s scale and evidentiary base are thin relative to established NDR vendors.
Innovation Matrix Assessment
Cienaga ships a single cohesive product line (APEX NDR plus DejaVu threat-hunting-as-a-service) with a small team; there is no public evidence of a fast release cadence or major recent feature launches.
With roughly six employees and under $1 million in disclosed revenue, Cienaga has minimal operational scale even though the founding team has relevant enterprise (AWS, Deutsche Bank) backgrounds.
Disclosed funding of roughly $300,000 and no public evidence of a recent funding round, major partnership, or customer growth announcement indicate limited momentum.
AI-driven NDR with MSP multi-tenancy is a reasonable product concept but not a structurally novel approach; it competes in an already crowded NDR category against much larger, better-resourced vendors.
No named customer case studies, third-party benchmarks, or independent evaluations were found; the company's own 99.7% accuracy and sub-one-second detection figures are unverified vendor marketing claims.
Network detection and response with MSP-oriented multi-tenancy addresses a real mid-market need, but Cienaga's tiny scale limits how much impact it currently has on that market relative to established NDR players.
Why CISOs Should Care
For a resource-constrained mid-market security team or an MSP looking for lower-cost AI-driven NDR with built-in compliance reporting, Cienaga's APEX is worth evaluating, though buyers should weigh the vendor's small size and limited track record.
What Makes It Different
Cienaga pairs its NDR platform with a managed threat-hunting service (DejaVu) explicitly framed around reducing cyber insurance costs, a go-to-market angle less common among peer NDR vendors.
The Matrix Verdict
35/100 — EMERGING / UNRANKED
A plausible but very early-stage NDR vendor with a reasonable product concept, minimal independent validation, and a scale (roughly six employees, ~$300K raised) that puts it well behind established competitors in this category.
Editorial Note: Claims vs. Verified Findings
Employee count, funding, and revenue figures come from third-party business data aggregators (Datanyze, ZoomInfo, CBInsights) rather than company disclosure, and should be treated as approximate. Performance claims (99.7% accuracy, sub-one-second detection, 10,000+ endpoints protected) are vendor-stated on the company's own site and were not independently verified; no named customer case studies were found.
Sources
Alternatives to Cienaga Systems
Abnormal AI
AI-native behavioral security platform that analyzes sender identity and communication patterns, rather than message content alone, to stop…
Palo Alto Networks Cortex XSIAM
Palo Alto Networks' AI-driven 'autonomous SOC' platform that unifies SIEM, EDR, SOAR, and attack-surface data into a single…
Fenix24
Chattanooga-based ransomware recovery specialist that has restored operations after 500+ real-world incidents, including 30 Fortune 500 companies.
Torq
AI-native hyperautomation platform positioning itself as an 'agentic SOC,' using a multi-agent system to autonomously execute large volumes…
Lumu Technologies
Network detection and response vendor using Continuous Compromise Assessment to show where compromise has actually happened, integrating with…
Google Security Operations
Google's cloud-scale SIEM/SOAR (formerly Chronicle), unifying a petabyte-scale data lake with Mandiant frontline threat intelligence and Gemini-powered investigation.