Cyberhaven vs Forward Networks
Side-by-side comparison of AI visibility scores, market position, and capabilities
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.
Forward Networks creates mathematical digital twin models of enterprise networks across on-premises, cloud, and hybrid environments; enables network verification, security compliance queries, and blast-radius analysis; raised $50M Series C in 2022;
About
Forward Networks is a Santa Clara-based network intelligence company founded in 2013 by four PhD researchers from Stanford University — including CEO David Erickson and CTO Nikhil Handigol — who developed the core technology during their doctoral research in network verification. The company's flagship product, Forward Enterprise, creates a precise mathematical model of an entire enterprise network — a "network digital twin" — by collecting device configuration and state data from routers, switches, firewalls, load balancers, and cloud infrastructure, then computing a complete, queryable model of how every packet would actually behave across the network.
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