InsurSec platform combining cyber insurance with security technology
At-Bay builds a full-stack cyber insurance platform that bundles coverage with managed security tools—a model that reflects genuine product integration rather than partnership. The tech stack (CrowdStrike, SentinelOne, XDR, Palo Alto, Fortinet, Cisco) and internal tooling (Python, Go, Kafka, PostgreSQL) show a company bridging insurance underwriting and continuous risk monitoring. Active hiring across sales, security, and insurance roles points to simultaneous expansion into new verticals (Tech E&O, professional liability) and geographic markets (Canada, India, Israel).
At-Bay is a privately held InsurSec provider founded in 2016, headquartered in San Francisco with offices in Atlanta, New York City, and Tel Aviv. The company underwrites multiple specialty lines—Cyber, Tech E&O, and Miscellaneous Professional Liability—and pairs insurance products with integrated security technology to offer risk prevention alongside claims protection. The organization operates as a globally distributed team of 201–500 employees and serves mid-market and enterprise private businesses. Current focus areas include new product pricing strategies, underwriting automation, and sales motion refinement across broker and direct channels.
Cyber insurance, Tech E&O (Errors & Omissions), and Miscellaneous Professional Liability (MPL). The company also has active projects building pricing models for new professional and general liability products.
CrowdStrike, SentinelOne, XDR, Palo Alto Networks, Fortinet, and Cisco ASA. These integrate with internal Python/Go services and Kafka-based event infrastructure to monitor customer risk exposure.
At-Bay'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.