SmartCurve

Data Leakage Prevention

Our Approach

Protect Personally Identifiable Information (PII) and comply with relevant regulations
Protect Intellectual Property critical for the organization
Achieve data visibility in large organizations
Secure mobile workforce and enforce security in Bring Your Own Device (BYOD) environments
Secure data on remote cloud systems

Data Loss and Prevention

Securing data in motion — technology installed at the network edge can analyze traffic to detect sensitive data sent in violation of security policies.
Securing endpoints — endpoint-based agents can control information transfer between users, groups of users, and external parties. Some endpoint-based systems can block attempted communications in real time and provide user feedback.
Securing data at rest — access control, encryption and data retention policies can protect archived organizational data.
Securing data in use — some DLP systems can monitor and flag unauthorized activities that users may intentionally or unintentionally perform in their interactions with data.
Data identification — it is crucial to determine if data needs to be protected or not. Data can be defined as sensitive either done manually by applying rules and metadata, or automatically via techniques like machine learning.
Data leak detection — DLP solutions and other security systems like IDS, IPS, and SIEM, identify data transfers that are anomalous or suspicious. These solutions also alert security staff of a possible data leak.

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