Bugcrowd vs Cyberhaven
Side-by-side comparison of AI visibility scores, market position, and capabilities
Bugcrowd is a crowdsourced cybersecurity platform connecting organizations with 500K+ security researchers for bug bounty, pen testing, and vulnerability disclosure programs; raised $102M in 2024; acquired AI-security firm Mayhem Security in 2025.
About
Bugcrowd is a crowdsourced cybersecurity company founded in 2012 by Casey Ellis and Sarfaraz Nawaz, headquartered in San Francisco, California. The platform connects enterprises and government agencies with a global community of over 500,000 vetted security researchers — known as the Bugcrowd Crowd — who identify vulnerabilities through managed bug bounty programs, penetration testing-as-a-service, and vulnerability disclosure programs (VDPs). By combining human ingenuity with platform coordination, Bugcrowd enables continuous security testing at a scale and speed that traditional point-in-time pen tests cannot achieve.
Cyberhaven is an AI data security company with a $1B valuation after a $100M Series D in April 2025; its Large Lineage Model (LLiM) traces data movement across the enterprise to detect insider threats, data exfiltration, and AI tool exposure;
About
Cyberhaven is a data security company founded in 2016 and headquartered in Menlo Park, California. It pioneered the category of Data Detection and Response (DDR) through a proprietary approach called data lineage — the ability to trace exactly how data originates, moves, transforms, and exits an organization. Unlike traditional data loss prevention (DLP) tools that rely on pattern matching and keyword rules, Cyberhaven builds a continuous graph of data movement and trains a Large Lineage Model (LLiM) on that graph to understand context, intent, and risk. This enables the platform to detect sophisticated threats including insider data theft, accidental exfiltration via AI tools like ChatGPT, and sanctioned-versus-unsanctioned app usage.
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