Orion Secures $32M to Target DLP's False Positive Problem
Summary
- Orion Security raises $32 million for AI-based DLP solutions that reduce false positives and policy sprawl.
- Large language models are used to provide real-time context, which legacy DLP tools cannot achieve at scale.
Why It Matters for Texas Credit Unions
Texas credit unions may benefit from enhanced data protection measures as suggested by the article.
Original Source Material
CEO Nitay Milner Says Large Language Models Cut False Positives and Policy Sprawl Orion Security has secured $32 million in Series A funding led by Norwest Venture Partners to replace policy-driven data loss prevention with large language models. CEO Nitay Milner says AI enables real-time context that legacy DLP tools can't achieve at scale.