Data Leak Prevention is a method for preventing the loss, theft, or unintentional leak of sensitive data. In order to prevent unwanted access to data, it often entails adopting organizational and technical controls. It might also include precautions for data loss detection and reaction.
Data Leak Prevention, often known as DLP, is an essential business process that makes sure sensitive and mission-critical data doesn't leave the company.
The crucial information of the business will be shielded from unauthorized access by the eScan Enterprise Data Leak Prevention (DLP) solutions. Its primary objective as a data security solution is to stop end users from sending sensitive or important data outside the organization's network utilizing a variety of techniques, tools, and methods. It monitors, detects, and blocks sensitive data while In Use, In Motion by monitoring, identifying, and preventing potential data breaches and data exfiltration attempts.
Neural Intelligence AI
Content-Aware Inspection
Advanced OCR Analysis
AI Platform Protection
Advanced behavioral analysis surpassing traditional signature-based detection with 100% AV-Test certified protection scores.
Automated GDPR, HIPAA, PCI-DSS, and DPDP compliance reporting with government-grade audit trails.
Real-time detection of AI platform data leaks, zero-day threats, and advanced persistent attacks.
Centralized management with Active Directory integration, SIEM compatibility, and hybrid cloud support.
For enterprise deployment and government compliance consultation, please contact us:
Join government organizations and enterprises worldwide who trust eScan's Neural Intelligence AI for mission-critical data protection.
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Advanced behavioral analysis and content-aware inspection surpassing traditional rule-based DLP solutions.
Trusted globally for mission-critical data protection in government and enterprise sectors.
Automated GDPR, HIPAA, PCI-DSS, and DPDP compliance with audit trails and reporting.
Seamless Active Directory, SIEM, and CASB integration for distributed environments.