{"id":123275,"date":"2025-10-06T11:37:10","date_gmt":"2025-10-06T03:37:10","guid":{"rendered":"https:\/\/version-2.com\/?p=123275"},"modified":"2025-10-06T11:39:41","modified_gmt":"2025-10-06T03:39:41","slug":"dope-security-debuts-dopamine-dlp-to-modernize-data-loss-prevention-with-ai","status":"publish","type":"post","link":"https:\/\/version-2.com\/zh\/2025\/10\/dope-security-debuts-dopamine-dlp-to-modernize-data-loss-prevention-with-ai\/","title":{"rendered":"Dope.security Debuts DOPAMINE DLP to Modernize Data Loss Prevention with AI"},"content":{"rendered":"\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\n

An LLM-Powered Solution for Higher Accuracy and Reduced Alert Fatigue<\/p>\n\n

\n

Cybersecurity startup dope.security Inc. has launched DOPAMINE DLP<\/span>, an endpoint Data Loss Prevention (DLP) solution that harnesses Large Language Models (LLMs) to dramatically improve the accuracy of monitoring and blocking sensitive file uploads.<\/p>\n\n<\/div>\n

\n

The Problem with Legacy DLP<\/h2>\n

Traditional DLP tools rely on outdated methodologies like watermarks, regular expressions (regex), and pattern matching to identify sensitive files. This approach severely limits their effectiveness and results in an unmanageably high rate of false positives.<\/p>\n

Because legacy systems fail to reliably identify truly sensitive data, security teams are often left with two unhelpful options: either turn the system off entirely or set it to ‘monitor mode,’ which eliminates its utility. This inability to understand **content context** is the central failing of old-school solutions.<\/p>\n\n<\/section>

\n

How DOPAMINE DLP Changes the Game<\/h2>\n
\n

DOPAMINE DLP replaces rigid, regex-based systems with the advanced comprehension capabilities of a Large Language Model . This allows the solution to classify and block data-in-motion during file uploads with a significantly higher degree of accuracy.<\/p>\n

According to Kunal Agarwal, CEO of dope.security:\n\n“Old tools do not comprehend text and instead operate pattern matches… This results in both endless alerts and no true positives at the same time. DOPAMINE DLP uses LLMs which are incredibly reliable in identifying sensitive information, empowering our Fly Direct SWG to curb risky data exfiltration… No more mind-boggling policy tuning.\u201d\n<\/em><\/p>\n\n<\/div>\n<\/section>

\n

Key Benefits and Features<\/h2>\n

The solution is built directly into dope.security’s existing agent and is designed to reduce the operational overhead and “alert fatigue” common with legacy DLP solutions.<\/p>\n\n