Agentic AI platform for cyber risk quantification and third-party risk
Safe Security builds AI-driven cyber risk management spanning enterprise, third-party and AI-related risk. Its stack pairs AWS serverless (Lambda, API Gateway) with SageMaker, Bedrock, Llama and LlamaIndex, while offensive tooling like Metasploit, Nuclei and Burp Suite points to in-house exploit research feeding breach prediction. Engineering-heavy, accelerating hiring alongside demand-gen and ABM roles signals a push to scale product and pipeline together.
Notable leadership hires: Tech Lead
Safe Security is a privately held cyber risk management company headquartered in Palo Alto, California, founded in 2012. It sells to CISOs, third-party risk management and GRC leaders, offering a platform that quantifies and prioritizes cyber risk using specialized AI agents. Product areas include cyber risk quantification, continuous threat exposure management, third-party risk management and security posture scoring. The company employs 51–200 people and hires across the United States, India, Canada and the United Kingdom.
Safe Security runs on AWS (Lambda, API Gateway, RDS, CloudFormation) with Node.js, Python, Go and TypeScript, plus SageMaker, Bedrock, Llama, LlamaIndex, Snowflake and Apache Iceberg for AI and data.
Yes. Engineering leads its hiring, which is accelerating, with additional roles in marketing, sales, security and research, skewing toward senior and director-level talent.
Safe Security hires in the United States, India, Canada and the United Kingdom, with headquarters in Palo Alto, California.
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Safe Security's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.