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Research Lab/Data Protection

Data Loss Prevention in the AI Era: Protecting Sensitive IP

Safeguard proprietary data across hybrid endpoints and cloud workloads. How Safetica DLP eliminates insider risk and streamlines compliance.

Futuristic digital vault and data loss prevention shielding sensitive assets

With enterprise workforces operating across cloud repositories, remote endpoints, and generative AI platforms, protecting sensitive intellectual property (IP), financial records, and customer PII has become the highest priority for CISOs.

Context-Aware Data Security Without Operational Friction

Traditional DLP programs fail because they rely on brittle regex patterns that produce endless false alarms, alienate business users, and require armies of administrators to maintain. Safetica DLP redefines data protection through behavioral context.

Automated Data Discovery & Classification

Continuously crawls data-at-rest and in-transit using optical character recognition, sensitive keyword weighting, and third-party metadata tags.

Shadow IT & GenAI Exfiltration Guard

Prevents unauthorized pasting or uploading of source code, customer records, and strategic roadmaps into public AI portals.

Insider Threat & Anomaly Scoring

Calculates individual and departmental risk baselines to alert security teams prior to mass data exports or departing employee exfiltration.

Regulatory Compliance Mapping

Built-in templates for NCA ECC, SAMA CSF, ISO 27001, PCI DSS v4.0, and Saudi Personal Data Protection Law (PDPL).

Less noise. More intelligence. Immediate containment.

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