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Sentinel Context is a next-generation secret detection engine built on a customized BERT (Bidirectional Encoder Representations from Transformers) architecture. Unlike standard tools that look for patterns (e.g., "does this look like an AWS key?"), our model understands the semantic context surrounding the string.
It knows the difference between const example_password = "1234" in a unit test and var db_pass = "x8!2na9@" in your production config. It reads the variable names, the comments, and the surrounding logic to determine if a string is truly a sensitive secret—slashing false positives by over 90%.
Sentinel Context is a next-generation secret detection engine built on a customized BERT (Bidirectional Encoder Representations from Transformers) architecture. Unlike standard tools that look for patterns (e.g., "does this look like an AWS key?"), our model understands the semantic context surrounding the string.
It knows the difference between const example_password = "1234" in a unit test and var db_pass = "x8!2na9@" in your production config. It reads the variable names, the comments, and the surrounding logic to determine if a string is truly a sensitive secret—slashing false positives by over 90%.