Data Loss Prevention (DLP) Modernization

Tune with context and feedback: Our system continuously learns from your feedback, refining policies and reducing false positives over time through adaptive learning algorithms.

CASB and app controls: We leverage CASB (Cloud Access Security Broker) technology and granular application controls to monitor and restrict access to unauthorized or unmanaged applications.

At rest, in transit, in use: Our DLP solution incorporates encryption mechanisms for data protection at all stages – while stored, during transmission, and while actively being processed.

Containers and separation: We support Bring Your Own Device (BYOD) environments through containerization techniques, creating secure boundaries between corporate data and personal devices.

API-based inspection: Our solution utilizes API-based inspection to monitor data flows within SaaS applications, detecting and preventing unauthorized access or exfiltration.

ML and patterns: We employ machine learning (ML) models combined with pattern recognition to identify anomalous behavior indicative of potential data loss incidents.

Behavior analytics signals: Our system analyzes user behavior patterns, identifying suspicious activities that may indicate insider threats or malicious intent.

Quarantine and workflows: Upon detection of a potential data loss incident, our solution automatically triggers pre-defined response workflows, including data quarantine and notification procedures.

Policies to regs mapping: We assist you in aligning your DLP policies with relevant regulatory requirements, such as GDPR, HIPAA, and CCPA.

Blocked/leak trends: Our reporting dashboard provides key metrics on blocked data loss attempts and overall leak trends, enabling you to track the effectiveness of your DLP program.