Data Detection & Response (DDR)

Forcepoint DDR helps prevent costly data breaches by detecting real threats earlier and focusing teams on the highest-risk events, which reduces incident impact, investigation time, and overall security operations cost.

It also increases confidence in digital transformation – cloud adoption, remote work, and AI/GenAI use – by providing continuous visibility into sensitive data and clear reporting that supports executive, customer and regulatory requirements.

Forcepoint Data Detection and Response (DDR) is important because it continuously monitors how sensitive data is actually used across endpoints and cloud environments so you can spot and stop indicators of a breach while they’re happening, not months later. Traditional controls often leave a “visibility gap” around data-in-use. DDR closes that gap with real-time monitoring, AI-powered classification and automated responses to suspicious activity. It combines context from data, user behavior and permissions to reduce attacker dwell time, mitigate insider threats and prevent data exfiltration.

Forcepoint DDR detects threats by continuously analyzing data events such as reads, views, creations, permission changes, renaming and sharing activities. It rescans items when significant changes occur and evaluates for anomalies and policy violations that indicate misuse, insider threats, compromised accounts or emerging exfiltration patterns.

Forcepoint AI Mesh adds context to distinguish normal business use from risky actions, then generates prioritized alerts and recommended or automated remediation steps to help security teams respond before data leaves your control.

DDR is designed for continuous, near-real-time monitoring and alerting. It tracks file access, movement and sharing 24/7 and raises alerts as soon as relevant risky events are observed and evaluated.

O Forcepoint DDR suporta modelos predefinidos para detectar a exposição a dados confidenciais, como PII, PCI, e PHI. Esses modelos simplificam auditorias e relatórios de conformidade, com monitoramento contínuo e históricos de dados detalhados.

Yes. Forcepoint DDR extends monitoring and protection to supported cloud and SaaS environments, using AI-powered classification and continuous analysis of file activities (such as uploads, shares, and permission changes) to detect and help prevent data exfiltration.

Yes. The classification system in Forcepoint DDR is powered by AI Mesh, which provides high accuracy, a better understanding of context, and risk scores across monitored environments. This AI-native approach improves detection quality (fewer false positives, better prioritization) and enables automated or guided responses to suspicious data activity, making DDR materially more effective than static rule-only monitoring.

Forcepoint DDR monitors both structured and unstructured data, with specific focus on sensitive information such as PII, PHI and PCI data, as well as business-critical intellectual property. It tracks data across supported cloud and endpoint sources, following how files and records are created, accessed, modified, renamed, shared, or deleted. Using its proprietary AI Mesh data classification, it continuously identifies and prioritizes at-risk data wherever it resides.

O Forcepoint DDR é um complemento importante para a solução Forcepoint DSPM, permitindo o monitoramento contínuo dos dados em uso. A combinação de Forcepoint DSPM e DDR com Forcepoint DLP cria um ecossistema abrangente de segurança de dados, protegendo os dados onde quer que residam, como são acessados ou como eles mudam ao longo do tempo. O Forcepoint DDR também se integra perfeitamente às soluções SIEM e SOAR por meio de webhooks para melhorar a resposta a incidentes e o gerenciamento de ameaças.

Forcepoint DDR focuses on data-in-use and data behavior, delivering continuous monitoring, rich context and dynamic response where traditional DLP and SIEM have blind spots. DLP is optimized to enforce policies on data-in-motion (email, web, endpoints, etc.), and SIEM aggregates logs and alerts from many systems. DDR adds deep, AI-driven understanding of sensitive data and its lineage plus targeted response actions across clouds and endpoints. DDR enhances DLP and SIEM, augmenting them with highly accurate, context-centric intelligence and automating remediation when suspicious activities begin to take place. In combination, the three tools form the foundation for an effective data security strategy.

Forcepoint DDR supports compliance by continuously monitoring exposure of regulated data such as PII, PHI, and PCI, using predefined detection templates and AI-driven classification aligned to common privacy and industry frameworks. This ensures faster identification of non-compliant data handling across monitored sources.

For auditors and regulators, Forcepoint DDR maintains detailed histories of data activities and risk events, enabling transparent reporting on who accessed what, how data moved, and which remediation actions were taken. This directly supports audits for GDPR, HIPAA, PCI DSS, CCPA and similar mandates.

O DLP usa várias ferramentas para identificar informações confidenciais dentro de um ambiente de TI, monitorar o fluxo de dados dentro e fora da organização e bloquear os dados confidenciais de sair da organização com base em políticas de segurança.