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Zenity builds a security platform specifically for AI agents—covering SaaS products, cloud-native deployments, and endpoint devices. The tech stack (Python, Go, AWS, Azure, Kubernetes, Kafka, Elasticsearch, Datadog) reflects infrastructure-heavy workload patterns typical of detection and response systems. Hiring velocity is accelerating across engineering and sales, with a notably mature leadership layer (35 senior-level roles), indicating a company scaling sales and product for enterprise adoption.
Tech Stack 62 technologies
Core StackAWS Python JavaScript C# Java Go Scala Angular React Vue TypeScript HubSpot Terraform CloudFormation GitHub Actions Jenkins Kubernetes Prometheus Grafana Elasticsearch Datadog Kafka Apache Flink Apache Iceberg Azure Bash AWS ECS AWS EKS GCP OpenSearch+32 more
What Zenity Is Building
◆Challenges
- Securing ai agents
- Defending against security threats
- Meeting compliance
- Protecting against security threats
- Security framework for ai agents
- Complex ai agent security
- Measurable value realization
- Securing ai-driven applications
- Scaling partner ecosystem
- Scalability bottlenecks
▲Active Projects
- Scalable big data pipelines
- Genai & copilots security solutions
- Micro-services on aws and azure
- Llm interpretability research for security
- Scaling customer success processes
- Technical onboarding and implementation for enterprise customers
- Scalable enablement programs
- Enterprise co-sell motions
- West ecosystem strategy
- Developing open-source attribution tools
Hiring Activity
55 roles · 30 in 30d
Department
Seniority
Notable leadership hires: Security Operations Lead
Company intelligence
