TENEX.AI operates an AI-native managed detection and response (MDR) service launched in 2024, built on Microsoft Sentinel and Google Chronicle with a modern stack of Go, Python, React, and LLM infrastructure (RAG, LangChain, LangGraph). The company is actively hiring across engineering, security, and sales roles with accelerating velocity, and its project roadmap centers on scaling autonomous detection workflows, LLM productionization, and threat intelligence—suggesting a platform shifting from managed services toward AI-driven, lower-touch security operations.
Notable leadership hires: Sales Director
TENEX.AI delivers managed detection and response to mid-market security teams, positioning itself as an AI-led alternative to traditional SOCs. The service combines 24/7 human analysts (average 8+ years experience, U.S.-based) with AI-driven alert triage and investigation automation. The stated operational model aims for sub-one-minute mean time to respond (MTTX), 95% false-positive reduction, and 10x faster detection than manual processes. Engineering is organized around detection rule development, CI/CD automation, and cloud infrastructure (AWS, GCP), while the security and sales teams support managed services delivery and customer expansion across the U.S., U.K., UAE, and Germany.
Microsoft Sentinel, Google Chronicle, and in-house LLM-backed detection layers built in Go and Python. The platform incorporates RAG and LangChain for retrieval-augmented threat investigation.
Headquartered in Sarasota, FL. The company is hiring across the United States, United Kingdom, United Arab Emirates, and Germany.
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TENEX.AI'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 →
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