Learn about data protection that solves the problem.
Why traditional data protection tools fall short
Data loss prevention (DLP) tools utilize classification and policies (aka “rules”) to identify sensitive data, trigger alerts and block file activities. With DLP, the system is only as good as your rules:
Make rules too sensitive and you trigger false positive alerts that block legitimate work
Make rules too specific and high-value data slips past your defenses
The constant fine-tuning drains security time and money while damaging employee productivity. Ultimately, a rules-based approach provides a false sense of security for businesses: 69% of organizations with a DLP still experience an insider data breach.