Manage File Access. Reduce Compliance Risk. Streamline Governance.
Unify and operationalise data access governance with automated discovery, classification, risk monitoring, and policy enforcement to protect sensitive data across every environment.
Scan structured and unstructured data across the organisation to automatically identify sensitive information stored in cloud, SaaS, and on-premises systems.
Accurately classify all sensitive data using advanced AI Mesh architecture, enabling consistent protection decisions across every file type and storage location.
Continuously monitor data access patterns to flag excessive permissions, over-exposed files, and risky user behaviour before incidents have a chance to escalate.
Intuitively search and remediate over-permissioned files to enforce least privilege policies and eliminate unnecessary data exposure across your organisation.
Track data movement and usage continuously, triggering automated alerts and responses to suspicious behaviour and access policy violations as they occur.
Streamline regulatory reporting and audit processes by automating compliance workflows, reducing manual effort and the risk of human error across all jurisdictions.
Detect privilege creep and risky access patterns early, protecting your organisation from insider threats through continuous user behaviour monitoring and alerting.
Combine Data Loss Prevention with Data Security Posture Management and Detection and Response for comprehensive visibility and control over sensitive data at scale.
Forcepoint data access governance solutions address the most critical access control, compliance, and data protection challenges organisations face across cloud and on-premises environments.
Control access to sensitive files across cloud and on-premises environments to prevent unauthorised access and reduce the risk of data loss or theft from over-permissioned accounts.
Automate compliance workflows and generate audit-ready reports to meet GDPR, HIPAA, and other regulatory requirements without time-consuming manual overhead and reporting processes.
Gain visibility into sensitive data stored across cloud and SaaS platforms, identifying and remediating excessive permissions and over-exposed files at scale before incidents occur.
Detect privilege creep and suspicious access patterns among employees and contractors to identify insider threats before sensitive data is compromised or exfiltrated.
Replace time-consuming manual audits with automated access reviews that continuously evaluate permissions and flag violations for immediate remediation by security teams.
Classify and govern access to data used in AI and machine learning workflows, ensuring sensitive information is not inadvertently exposed through AI models or training processes.
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