Sensitive data no longer stays in one place. It moves between laptops, email, SaaS apps and cloud storage, and a single upload or attachment can send it outside the business. Traditional data loss prevention (DLP) relies on brittle keyword rules that either miss real leaks or flood the team with false alarms.
Hermes uses machine-learning classification to recognise sensitive data by what it is, not just by matching patterns. Policy is enforced inline on the Hermes edge and on the endpoint, so data can be blocked before it leaves, wherever the user is working.
