We’ve fused beautiful design and deep-learning AI to crawl, extract, and understand public-facing data, and display an LLM-generated classification summary when content is sensitive.
We call it DOPAMINE DLP.
Our Cloud Access Security Broker (CASB) tackles Data Loss Prevention (DLP) and SaaS Security Posture Management.(SSPM)
Your SWG does even more with CASB Neural to secure your Cloud Apps—Microsoft 365 and Google.
Now with AI-Powered DLP
What’s Included
AUTOMATIC UPDATES
CASB Neural is powered by large language models (deep learning AI) to monitor and identify externally shared files containing sensitive data such as PII, PCI, PHI, and IP, without any configuration. Monitor and remediate your org’s external file permissions all in one place.
Detect all externally shared files with LLM-powered classifications.
See what files have been exposed, and who has access.
Stay secure. Make files private with a one-click remediation.
![[Please direct your attention]](https://cdn.prod.website-files.com/623381c2c01066b228a1670b/662a8453e5eab2a81195a74d_attention-extra.svg)
Meet Dopamine DLP
AI DETECTION
PRIVATE LLM
![[Gain a clear and accurate summary of document content]](https://cdn.prod.website-files.com/623381c2c01066b228a1670b/662a8454e5eab2a81195a819_extra-accurate.svg)
We’re Powering Data Loss Prevention with LLMs. Meet DOPAMINE DLP. We’ve humanized our tool to analyze and comprehend. Unleash the power of LLMs to instantly classify all externally shared files containing sensitive data and automatically monitor file-sharing changes without any configuration. DOPAMINE can help drive remediation decisions with less time spent thinking, and more time securing your company’s data. Experience fewer false positives than ever before.
Comprehension Over Pattern-Matching
FEWER FALSE POSITIVES
For decades, DLP tools have relied on RegEx, pattern matching and manual configuration—which results in False Positives. It was very noisy, and not effective. With Dopamine, we provide a clear understanding of what the document actually means, instead of a RegEx for a 16 digit number, that's probably not even a credit card. Think deeper with AI comprehension... instead of RegEx pattern matching.
