LightBeam.ai builds a zero-trust data protection platform that converges data security, privacy, and AI governance into a single solution. Its platform automates security and compliance workflows and uses AI-powered data discovery to scan, identify, and classify structured and unstructured files, documents, and databases across cloud, on‑prem, and SaaS environments. The company emphasizes that no data or metadata leaves customer networks while enabling consistent controls and maintaining data provenance. LightBeam will use the funding to expand go-to-market initiatives across sales, marketing, channels, and alliances and to continue investing in its converged platform vision. The business reports nearly 300% annual customer-base growth, with adoption led by banking, financial services, insurance, healthcare, tech, and retail sectors. Customers and partners cited the platform's accuracy, ease of use, and effectiveness in helping meet privacy and compliance objectives. LightBeam.ai provides an identity-centric data privacy automation platform that uses AI and Natural Language Understanding (NLU) to identify segments of personally identifiable information (PII) and tie them to individual customer identities. The product can determine the context of identifiers—for example, whether a nine-digit number is a Social Security number, bank account number, medical record, or a random string—and then map that data to who it belongs to. This identity-centric approach is designed to increase visibility of sensitive data across enterprise environments and enable security teams to automate protection and privacy policies based on identities rather than solely on data patterns. LightBeam emerged from stealth and announced general availability of its platform at the same time it raised $4.5 million in seed funding. Cofounder and product chief Priyadarshi Prasad framed the product as a response to legacy, manual privacy-management approaches and growing regulatory complexity. The company positions itself against incumbents such as BigID (valued at $1.25 billion after a $100 million extended Series D) and Collibra (which raised $250 million and achieved a $5.25 billion valuation), arguing that its identity focus gives it an advantage in reducing false alerts and automating protection.

Total raised

$22M

Funding rounds

2

Latest round

Series A

Latest activity

Feb 2024