Zenity secures AI agents across SaaS, cloud and endpoint environments. Its stack pairs eBPF with a streaming data layer (Kafka, Spark, Delta Lake, OpenSearch), pointing to deep runtime telemetry and large-scale detection analytics. Accelerating, senior-weighted hiring led by engineering, with sales and dedicated research close behind, reflects both product build-out and work on LLM interpretability for jailbreak detection.
Zenity, founded in 2021 and headquartered in New York, builds a security and governance platform for AI agents running in SaaS applications, custom cloud platforms and end-user devices. The product spans agent discovery, posture management and real-time detection, prevention and response. It targets enterprise security teams adopting tools such as Microsoft Copilot, Salesforce Agentforce, AWS Bedrock and GitHub Copilot. The privately held company has 201–500 employees and hires in the United States, Japan and Israel.
Zenity works across AWS, Azure and GCP with Python, Go, Java, C#, TypeScript, Scala and Kotlin, plus eBPF, Kafka, Apache Spark, OpenSearch and Delta Lake for data and runtime telemetry.
Yes. Hiring is accelerating and engineering is the largest focus, followed by sales and research, with most openings at senior level across the United States, Japan and Israel.
Current work includes GenAI and copilot security solutions, LLM interpretability experiments for jailbreak detection, AI agent security proofs of concept, and partner-influenced deal orchestration.
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Zenity'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.
