Replace sensitive data with secure, non-reversible tokens while enforcing granular access policies for different teams and applications.
Securely store, manage, and protect structured and unstructured data without limiting AI performance, allowing data to be accessed while keeping it private.
Automate compliance with GDPR, HIPAA, SOC 2, and ISO 27001, reducing manual overhead while ensuring regulatory adherence.
Implement encryption, multi-factor authentication (MFA), and RBAC to restrict access and minimize security risks.
Deploy privacy-first AI solutions quickly with flexible APIs, enabling secure interactions across AI applications.
Automatically scan, redact, and mask sensitive data in text, images, voice, and documents, ensuring AI outputs remain privacy-safe.
Deploy seamlessly on AWS, Azure, GCP, or private environments while maintaining full control over data residency and governance.
AI-driven monitoring detects unusual data patterns, alerting teams to potential privacy risks before they escalate.
Set retention policies and automate secure deletion of sensitive data when no longer needed, reducing data exposure risks.

