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Noma Security Tech Stack
AI security platform for enterprise AI risk governance and runtime protection
Noma Security builds an AI-focused security platform using Python, PyTorch, Hugging Face, and cloud infrastructure (AWS EKS, Kubernetes, Snowflake) to address a critical enterprise gap: governance and runtime protection for AI agents at scale. The company's project portfolio—red teaming modules, AI supply chain discovery, runtime monitoring dashboards, and vulnerability research—reflects a narrowly focused security thesis rather than a broad application-security play. Hiring velocity is accelerating with senior and lead-level roles concentrated in data, engineering, and security, suggesting rapid product iteration against established enterprise demand.
Tech Stack 20 technologies
Core StackPython JavaScript Go Snowflake PostgreSQL React GraphQL PyTorch Hugging Face SageMaker Vertex AI Kubernetes Helm Terraform Temporal Docker Bash SQL AWS EKS Azure Kubernetes Service
What Noma Security Is Building
◆Challenges
- Scaling ml infrastructure
- Adopting ai and llms with confidence
- Scaling data analysis function
- Complex environments
- Safeguarding ai systems at scale
- Lack of ai security governance
- Protecting data lifecycle in ai era
- Transforming complex security data
- Securing data & ai lifecycle
- Complex security and product data
▲Active Projects
- Data & ai lifecycle security platform
- Red team module for prompt injection research
- Data-driven insights for product domains
- Ai security and governance platform ui components
- Ai security intelligence
- Monitoring tools and dashboards
- Ai security research on prompt injection and adversarial manipulation
- Ai-focused vulnerability research
- Red teaming against ai systems
- Customer-facing proof-of-concepts
Hiring Activity
20 roles · 8 in 30d
Department
Seniority
Company intelligence
