Detect, Prioritize and Eliminate Data Risk
Proactively identify, classify, and remediate data risk across cloud, SaaS, and endpoint environments with AI-driven security posture management and continuous protection.
Detect PII, PHI, and intellectual property across SaaS, cloud, and endpoints using advanced AI Mesh technology that accurately classifies data at rest, in use, and in motion.
Continuously scan data stores across your entire environment to locate sensitive information and understand where your highest data risk exposure exists at any given time.
Identify excessive user and group permissions in SaaS applications and enforce least privilege access controls to reduce the risk of unauthorised data exposure.
Locate and clean up redundant, obsolete, and trivial data that unnecessarily inflates storage costs and expands the attack surface for malware and breaches.
Continuously scan SaaS environments for publicly shared files and automatically remediate exposure through quarantine or access restriction before damage can occur.
Prioritise remediation efforts with contextual risk scores that surface the most critical data exposures and guide security teams toward the highest-impact actions first.
Continuously monitor how sensitive data moves across your organisation to detect policy violations and prevent accidental or intentional exposure in real time.
Combine DSPM, DDR, DLP, and CASB capabilities across cloud, web, email, and endpoint environments for comprehensive visibility and control over organisational data risk.
Forcepoint data risk mitigation solutions address the most critical exposure, access, and compliance challenges organisations face as sensitive data proliferates across cloud and SaaS environments.
Identify and remediate sensitive data scattered across cloud storage, SaaS applications, and endpoints to reduce the risk of accidental exposure and regulatory breaches.
Locate and remove redundant, obsolete, and trivial content to reduce storage costs, shrink your attack surface, and improve overall data security posture across the organisation.
Detect over-permissioned users and groups across SaaS platforms and apply least privilege policies to prevent unauthorised access to sensitive organisational data.
Automatically discover and classify regulated data types such as PII and PHI to ensure compliance with GDPR, HIPAA, and other privacy frameworks before audits occur.
Surface hidden data risks and prioritise remediation before attackers or insiders can exploit exposed sensitive data across cloud and on-premises environments.
Identify sensitive data stored in unmonitored locations and shadow IT systems to close the visibility gaps that represent the majority of modern data breach incidents.
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