About SkyHigh Data Loss Prevention
Features of SkyHigh Data Loss Prevention
Exact Data Matching (EDM)
Provides accurate scanning of large, structured data sets 1,000 times faster than other solutions, and rapid deployment of data protection rules to prevent leakage and unauthorized distribution.
Indexed Document Matching (IDM)
Enables you to identify sensitive information in PDF files, documents, JPEG images, and other files and protect it using fingerprint-based and indexing-based DLP policies.
Optical character recognition
The technology helps identify individuals using passports, credit card information, and other documents that can be uploaded to the cloud.
AI/ML-capabilities
Skyhigh DLP helps reduce noise and workload on security teams, improve detection accuracy, automate complex classification tasks, and more by:
– AI-Powered False Positive Management — the system analyzes actions and learns from their decisions to reduce the number of false positive incidents and automate event processing.
– AI-Powered Classification Builder is a unique tool that generates complex regular expressions for creating classification policies, reducing the risk of errors and saving time.
– AI/ML Autoclassifiers — Pre-trained machine learning models automatically recognize and classify sensitive data (including multilingual support), eliminating the need for deep DLP expertise.
Testing classifications
Administrators can test data policies before implementing them company-wide to reduce or eliminate the risk of data loss due to incorrectly configured policies or classifications.
Benefits of SkyHigh Data Loss Prevention
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A single platform for data protection
The solution provides control in the cloud, web, email, private applications, and endpoints, reducing security complexity and costs.
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Reduced risk of leaks and penalties
Accurate identification of sensitive information (PII, financial data, documents) helps prevent incidents and maintain regulatory compliance.
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Protection against internal and external threats
Tracking risky user behavior, protecting against malicious software and insider attacks increases business resilience.
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AI process optimization
Automatic classification, reduction of false positives, and simplified policy creation reduce the burden on security teams.
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