Data security

Data loss prevention (DLP)

Detects and prevents unauthorized transmission of sensitive data across cloud environments, enforcing data protection policies to mitigate data loss risks.

Safeguarding sensitive data in transit and at rest

Data loss prevention (DLP) is a comprehensive strategy and set of tools designed to detect, monitor, and protect sensitive data from unauthorized access, use, or transmission in cloud environments. For cloud security engineers, DLP provides critical capabilities to maintain data confidentiality and comply with data protection regulations.

DLP solutions typically employ content inspection and contextual analysis techniques to identify sensitive data patterns, such as credit card numbers, social security numbers, or proprietary information. These tools can monitor data in motion (network traffic), data at rest (stored in cloud services), and data in use (being accessed or processed by users or applications).

In cloud environments, DLP plays a crucial role in addressing the challenges of data protection across distributed and often multi-cloud infrastructures. Cloud-focused DLP solutions often offer integrations with popular SaaS applications and cloud storage services, allowing for consistent policy enforcement across various cloud platforms. By implementing robust DLP measures, cloud security engineers can significantly reduce the risk of data breaches, maintain regulatory compliance, and protect their organization's sensitive information in cloud ecosystems.

Product vendors

Check Point
Cisco
Cloudflare
Cyera
Microsoft
Netwrix
Normalyze
Open Raven
Palo Alto Networks
Sentra
Skyflow
Soveren
Trellix
UpGuard
Varonis
Zscaler

Open-source projects

Magpie
Cloud data discovery tool identifying, classifying, and securing data assets across cloud storage services.

Similar categories

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Continuously monitors cloud infrastructures for risks and misconfigurations, ensuring adherence to security best practices and compliance requirements.