Safe Security Tech Stack
Agentic AI platform for unified cyber risk management across enterprise, third-party, and AI risks
Safe Security operates a cyber risk management platform centered on agentic AI automation, covering enterprise vulnerabilities, third-party assessments, and AI-specific threats. The tech stack reflects dual engineering priorities: security tooling (Burp Suite, Nmap, MITRE ATT&CK) paired with ML infrastructure (SageMaker, Bedrock, Llama) and high-scale data systems (Kafka, Snowflake, multi-cloud compute). Active hiring skews heavily toward engineering (11 of 19 roles, mostly senior), signaling aggressive product development; concurrent pain points around scaling data pipelines and SDR operations suggest the company is simultaneously building product velocity and sales infrastructure.
Tech Stack 60 technologies
What Safe Security Is Building
◆Challenges
- Preventing cyber breaches
- Lack of real-time cyber risk visibility
- Real-time security posture visibility
- Cyber risk uncertainty
- Scaling marketing website
- Performance monitoring
- Scaling data platform for billions of records
- Cost efficiency of data operations
- Ensuring data freshness and availability
- Scaling sdr team
▲Active Projects
- Core product features for cyber breach prevention
- Ai-driven analytics solutions for cyber breach prediction
- Marketing tooling implementation
- Core product features for predicting, quantifying, preventing cyber breaches
- Api gateway and lambda functions for marketing services
- High-throughput data pipelines
- Scalable secure multi-tenant microservices
- Cloud and ai integration for scalable microservices
- Ai-driven engine for real-time cyber risk visibility
- Predicting and preventing cyber breaches
