Non-human identity and AI agent access management platform
Oasis Security builds purpose-built infrastructure for securing non-human identities—service accounts, API credentials, AI agents—across hybrid multi-cloud environments. The tech stack reveals a company doubling down on AI tooling (LangChain, LangGraph, Bedrock, Anthropic, OpenAI) while maintaining core cloud-native capabilities (Kubernetes, Docker, multi-cloud SDKs). Hiring is aggressively sales-led (42 of 65 roles), targeting enterprise security leaders with regional field ops and Fortune 500 CISO engagement—a motion that matches their pain-point pattern around complex deal closure and the need to build a repeatable sales machine.
Notable leadership hires: Regional Director, VP of Sales
Oasis Security operates in the non-human identity management category, a segment carved out by the rise of microservices, hybrid cloud infrastructure, and AI-driven automation. The company addresses a structural gap: legacy identity and access management tools were designed for human users and cannot adequately govern the explosion of machine identities, service accounts, and agent credentials now proliferating in enterprise environments. Their platform handles the full lifecycle—discovery, governance, compliance, and access control—across AWS, Azure, and GCP. The team is based in New York with hiring active across the United States, Israel, Australia, and the United Kingdom.
Core: TypeScript, Python, Go, Kubernetes, Docker, Node.js. Cloud: AWS, Azure, GCP. AI/LLM: OpenAI, Anthropic, Bedrock, LangChain, LangGraph. Sales/go-to-market: Salesforce, Outreach, LinkedIn Sales Navigator, ZoomInfo, Greenhouse.
New York, New York. The company is privately held with 51–200 employees and is actively scaling its enterprise sales and regional operations teams.
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Oasis Security'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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