BigID Next vs Trend Micro Integrated Data Loss Prevention comparison

BigID Next offers advanced data discovery, classification, and governance tools, streamlining compliance with privacy laws while integrating seamlessly with Microsoft platforms.

BigID Next provides comprehensive data management through machine learning-enhanced capabilities, supporting data discovery and classification for both structured and unstructured data. By simplifying processes for GDPR and CCPA compliance, and facilitating data scanning and mapping across databases, it optimizes data management. Automation is central to its design, with solutions for DSAR requests, organizing data with security labels, and ensuring a holistic organizational data view. Improvements in navigation, bug fixes, and scan reliability remain essential, along with enhancing classifiers for broader region coverage.

• User-Friendly Interface: Easily navigable for streamlined data operations.
• Microsoft Integration: Seamless compatibility with Microsoft platforms.
• Data Scanning Capabilities: Efficiently scans structured and unstructured data.
• Data Classification and Discovery: Identifies and categorizes sensitive data.
• Security Labels: Supports predefined and custom security labels.
• Automation for PII Requests: Automates privacy request management.
• Compliance Adherence: Aligns with GDPR and CCPA requirements.
• Scheduling Scans: Facilitates planned data assessments.
• Machine Learning: Enhances data mapping, auditing, and management.

• Enhanced Compliance: Supports adherence to major privacy laws like GDPR and CCPA.
• Data Mapping Efficiency: Improves data locating and classification.
• Automation Features: Saves time with automated data request handling.
• Comprehensive Integration: Works well with existing security tools.
• Holistic Data View: Offers clear insights into data storage and use.

BigID Next is commonly implemented in industries needing robust data governance, such as finance and healthcare, where data privacy and compliance with regulations are critical. It aids in scanning and classifying extensive data volumes, helping businesses maintain regulatory compliance while managing data risks effectively.

Now more than ever, your data is on the move—whether it’s on a laptop, flash drive, or moving across physical, virtual, and cloud infrastructures. At any point along the way, your financial data, customer information, intellectual property, or trade secrets could be lost or stolen. Securing this data is further complicated by several growing risk factors:

Rapidly evolving compliance regulations and mandates, including GDPR
Continued growth of workforce mobility
Employees using their own mobile devices and consumer apps for work
Rising frequency of advanced persistent threats (APTs) and data breach incidents

To avoid the embarrassment, reputation damage, regulatory fines, and revenue loss, today’s enterprise must be able to identify, track, and secure all confidential data from multiple points within the organisation and in the cloud without impacting employee productivity and performance. In the past, many organisations tried traditional data loss prevention (DLP) solutions but found they were too intrusive, too complex to manage, and too costly to acquire, deploy, and maintain.