Stop potential data loss before it happens with continuous monitoring and AI-driven responses.
Continuously monitor and respond to potential data breaches with AI-driven detection, severity-based prioritisation, and comprehensive coverage across endpoints and cloud.
Monitors data activities 24/7 across endpoints and cloud environments, tracking file access patterns, sharing behaviours, and data movements in real time.
Proprietary AI Mesh blends GenAI small language models, neural networks, and predictive AI to deliver highly precise data classification and sensitivity analysis.
Reduce mean time to detection by continuously monitoring file sharing, renaming, and movement activities — catching threats before they become breaches.
Extends visibility and enforcement to both cloud and endpoint environments, ensuring no data movement goes unmonitored regardless of where work happens.
Prioritises alerts by severity so security teams focus on the highest-risk events, improving mean time to response and reducing investigation fatigue.
Works as a seamless add-on to Forcepoint DSPM and DLP, extending coverage with continuous classification and threat prevention across your entire data estate.
Supports compliance with GDPR, HIPAA, PCI DSS, and CCPA through continuous monitoring, transparent audit trails, and automated regulatory reporting.
Integrates with your existing security stack via webhooks, feeding high-fidelity alerts directly into SIEM and SOAR platforms for streamlined incident response.
DDR continuously analyses data events across your environment, applies AI-driven context, and responds dynamically — stopping threats before they escalate.
DDR watches every data event across endpoints and cloud: file reads, views, creations, permission changes, renaming, and sharing. Any significant change triggers an immediate rescan to detect anomalies as they emerge.
AI Mesh adds contextual intelligence, distinguishing normal business activity from risky behaviour. It evaluates insider threats, compromised accounts, and exfiltration patterns — going beyond rule-based detection to understand intent.
Alerts are prioritised by severity so teams act on what matters most. Responses can be automated or analyst-driven, and findings feed directly into SIEM and SOAR workflows to close the loop on every incident.
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