Agentic AI platform for unified cyber risk management across enterprise, third-party, and AI risks
Safe Security automates cyber risk management using specialized AI agents, replacing manual effort across CISOs, TPRM, and GRC functions. The stack reveals a mature, AI-forward engineering approach: Python, Go, TypeScript, SageMaker, Bedrock, and Llama for agent orchestration; Kafka, RabbitMQ, and Redis for data pipelines; AWS, GCP, Azure for multi-cloud deployment. Active adoption of Terraform, Ansible, OpenAI, and Claude signals aggressive real-time risk quantification capabilities. Critically, hiring is sales-heavy (29 of 56 open roles) with leadership gaps at director level, suggesting aggressive scaling into enterprise deals.
Notable leadership hires: Sales Development Director
Safe Security helps enterprise security and risk leaders automate cyber risk quantification, prioritization, and management across three domains: internal enterprise risk, third-party risk (TPRM), and AI-related risks. Founded in 2012 and headquartered in Palo Alto, the company operates at 51–200 employees with offices in the United States, United Kingdom, Canada, and India. The platform unifies risk data against industry standards (MITRE ATT&CK, CRQ frameworks) and delivers autonomous management through agentic workflows, positioning CISOs as strategic business partners rather than operational gatekeepers. The company has doubled revenue three years running and raised over $100M.
Python, Go, TypeScript, JavaScript for core engineering; AWS, GCP, Azure for cloud infrastructure; SageMaker, Bedrock, Llama for AI agents; Kafka, RabbitMQ, Redis for data pipelines; Salesforce, HubSpot, Outreach for sales ops.
New cyber security platform sales, financial risk quantification, CI/CD pipeline management, global sales enablement, core breach-prevention features, MITRE ATT&CK mapping, and threat intelligence exchange ingestion.
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