LightBeam.ai, a pioneer in data privacy automation, came out of stealth today and announced the general availability of its category-defining, AI-powered, identity-centric data privacy automation platform.
The trifecta of ubiquitous data collection, universal access, and uninhibited sharing makes it nearly impossible for companies to safeguard their sensitive data from accidental leakages and targeted breaches. Furthermore, a fast-evolving privacy regulatory environment has spawned a plethora of manual compliance processes that are both inefficient and ineffective in addressing the associated regulatory and reputational risks.
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As a data privacy automation (DPA) platform, LightBeam fosters autonomous privacy management tying together discovery, cataloging, access controls, and data loss prevention (DLP). One of the platform’s key innovations is LightBeam’s ability to detect fragments of Personally Identifiable Information (PII) and Protected Health Information (PHI) data and help privacy and security teams understand the identities (customers/patients/partners) to whom such data belongs, enabling them to automate security of all sensitive data proactively.
“Privacy professionals in FinTech lose sleep over securing sensitive customer data and complying with privacy regulations,” said Kiran Sharma, Senior Privacy Manager, Snap Finance. “The legacy manual ways have become too limiting. I am impressed with LightBeam’s automation-first approach and how the platform enforces data privacy controls across structured and unstructured data.”
“The explosion of data, hybrid work, and risk has left organizations struggling to effectively manage their data from a risk and privacy compliance perspective. Unfortunately, businesses find themselves having to adhere to disparate regulations, which is confusing, manual and often expensive,” said Ryan O’Leary, Esq., Research Manager, Privacy and Legal Technology at International Data Corporation (IDC). “A data discovery and governance first approach can help businesses lay the foundation of data privacy management. This approach also enables automation and helps them adhere to current and future regulations efficiently.”
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