Forcepoint DDR supports pre-defined templates to detect exposure to sensitive data like PII, PCI and PHI. These templates simplify audits and compliance reporting with continuous monitoring and detailed data histories. To dive deeper into how DDR works in practice, explore our comprehensive guide.

DLP uses multiple tools to identify sensitive information within an IT environment, monitor data flow in and out of the organisation and block sensitive data from leaving the organisation based on security policies.

Forcepoint DDR is an important add-on to the Forcepoint DSPM solution, enabling continuous monitoring of data in use. Pairing Forcepoint DSPM and DDR with Forcepoint DLP creates a comprehensive data security ecosystem, protecting data wherever it resides, how it is accessed or how it changes over time. Forcepoint DDR also seamlessly integrates with SIEM and SOAR solutions through webhooks to improve incident response and threat management.

Forcepoint DDR tracks a wide range of data interactions in real-time, including access, renaming, sharing, movement, reclassification and permission changes, across both endpoints and cloud applications. This comprehensive cloud detection and response capability supports visibility into data behaviours, helping identify risks early. It complements existing systems by offering complete data lineage, so teams can trace incidents accurately and improve overall response efficiency across hybrid environments.

Yes, Forcepoint DDR supports both Software-as-a-Service (SaaS) and on-premise deployment models. This flexibility allows organisations to align deployment with internal policies, data sovereignty requirements or industry regulations. Regardless of the model, DDR delivers the same continuous monitoring, AI-powered classification and tight integration with other managed detection and response and compliance tools.

Forcepoint DDR uses its AI Mesh, combining generative AI, neural networks and predictive models, to accurately classify context-aware data. It learns from behavioural signals and content to enhance detection quality and reduce false positives. This makes it a valuable asset for teams deploying endpoint detection and response solutions. It allows for smarter policy enforcement and supports highly scalable operations without burdening human analysts.

Yes, Forcepoint DDR assigns severity scores to detected threats, so organisations can triage alerts based on impact. It can automatically trigger response actions or offer guided remediation. This empowers security teams to act quickly with fewer false alarms. DDR integrates seamlessly with broader ecosystems to elevate the speed and accuracy of threat detection and response processes.

Forcepoint DDR enforces continuous detection and response, supporting Hong Kong's Personal Data (Privacy) Ordinance, notably Data Protection Principle 4 which mandates "all practicable steps" to prevent unauthorised access, loss or use. DDR's AI‑driven monitoring tracks data access, movement and classification across endpoints and cloud. When suspicious activity occurs, the managed detection and response solution triggers severity‑based alerts for rapid containment. This satisfies PDPO's risk‑based control expectations and bolsters technical measures for data security compliance.

Although Hong Kong's PDPO currently encourages voluntary data‑breach alerts to the PCPD, revised guidance reported in 2023 signals forthcoming mandatory notification obligations. A managed detection and response provider like Forcepoint equips firms with detailed breach event logs, data lineage tracking and severity analysis to document incidents promptly. This positions Hong Kong businesses to comply with emerging statutory rules and support proactive breach notifications when mandatory mechanisms come into effect.