Automatically identifies and classifies sensitive information (e.g., PII, PHI, financial data) across databases, files, and cloud environments to support compliance and risk assessments.
Delivers irreversible, format-preserving masking that maintains referential integrity—allowing secure use of realistic data in development, testing, and analytics without exposing sensitive information.
Enables customizable masking rules and workflows aligned to data privacy mandates such as HIPAA, FISMA, IRS Pub 1075, and state-level regulations—automating enforcement at scale.
Seamlessly integrates into CI/CD pipelines and hybrid architectures (including AWS GovCloud), supporting automated data protection in modern, cloud-first government environments.
Built on a lightweight containerized platform using Docker and Kubernetes (EKS), with YAML-based configuration for easy deployment, policy management, and infrastructure-as-code alignment.
Straightforward deployment-based licensing with no hidden fees— based solely on the deployment environment, not data volume or user count, making it easy to forecast and scale within public sector budgets.