Integrated cybersecurity platform combining email security, data protection, and threat detection for MSPs
CyberSentriq operates a multi-layered security platform built on .NET, Go, and Kubernetes, currently executing a significant product consolidation effort (integrating TitanHQ and Redstore into a unified stack). The engineering-focused hiring velocity — 5 active roles with 6 posted in the last 30 days — aligns with their active projects around AI-driven threat detection and telemetry-driven prioritization, suggesting they're moving from feature breadth toward operational intelligence.
CyberSentriq is a cybersecurity and data protection platform serving managed service providers (MSPs) and their small-to-medium-sized business customers. The platform spans email security (both MX and cloud layers), cloud backup and recovery, threat intelligence, phishing simulation, and email archiving. The company works with over 3,000 MSPs protecting over 150,000 organizations globally. Built on AWS, Azure, and GCP infrastructure with a modern stack (Kubernetes, NATS JetStream, Prometheus, Grafana), the product is undergoing a consolidation phase following what appears to be a merger or integration of two previous vendors.
Backend: .NET, C#, Go. Infrastructure: Kubernetes, AWS, Azure, GCP. Monitoring: Prometheus, Grafana. Data/Analytics: Snowflake, Looker, Tableau. Frontend: React, Vue, TypeScript, HTML5. Testing: Selenium, Playwright, Cypress, Jest.
Platform consolidation: integrating TitanHQ and Redstore into a unified system. Core projects include an AI-driven threat detection platform, telemetry-driven prioritization, and product telemetry data analysis to improve threat detection performance.
CyberSentriq's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.