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Noma Security Tech Stack
AI security platform for enterprise risk discovery, supply chain protection, and runtime defense
Noma Security builds a security-first platform for managing AI risk across the enterprise stack—discovery, supply chain validation, red teaming, and runtime protection. The stack reveals a modern, cloud-native architecture (AWS, GCP, Azure, Kubernetes, Temporal) paired with ML-native tooling (PyTorch, Hugging Face, SageMaker, Vertex AI), indicating the platform itself learns from and operates on AI systems rather than bolting security onto them. All 10 open roles are senior-level, and hiring spans the U.S. and Israel, signaling execution velocity on a product still navigating market fit within a nascent category.
Tech Stack 24 technologies
Core StackReact GraphQL AWS HubSpot Salesforce Go Kubernetes Temporal Docker Python JavaScript Snowflake PostgreSQL PyTorch Hugging Face SageMaker Vertex AI Helm Terraform GCP Azure Bash AWS EKS Azure Kubernetes Service
What Noma Security Is Building
◆Challenges
- Adopting ai and llms with confidence
- Securing data & ai lifecycle
- Complex ai security workflows
- Establishing support capability
- Complex ai security challenges
- Visibility and protection across ai lifecycle
- Ai model exploitation risk
- Ai system vulnerability
- Protecting ai-driven systems
- Uncovering vulnerabilities in ai models
▲Active Projects
- Ai security and governance platform
- Data & ai lifecycle security platform
- Technical support function
- Tier 2–3 support foundation
- Escalation path design
- Ai security implementations
- Secure ai adoption best practices
- Ai vulnerability research
- Red teaming against ai systems
- Customer-facing proof-of-concepts
Hiring Activity
10 roles · 6 in 30d
Department
Seniority
Company intelligence
