AvePoint Compliance Guardian Implements Machine-Based Learning for Automated Data Protection and Risk Management

New platform release also expands information governance and security across the enterprise with support for Exchange Online and Box, SIEM integration, and file analysis

London, United Kingdom — March 16, 2017 — From the halls of the International Association of Privacy Professionals (IAPP) Europe Data Protection Intensive 2017, AvePoint, the Microsoft Cloud expert, today announced the general availability of AvePoint Compliance Guardian 4 Service Pack (SP) 2. The latest version of AvePoint’s compliance and risk management system, Compliance Guardian 4 SP 2 features new machine-based learning capabilities to help organisations conduct deeper and more intelligent analysis of content across enterprise IT systems. Compliance Guardian also features full support for scanning, discovering, and classifying content in Office 365 – Exchange Online as well as additional real-time data protection capabilities for Box.

“As they transition data from on-premises legacy systems to the cloud, organisations need the ability to minimise risk of exposing sensitive content.” said Dana Simberkoff, Chief Compliance and Risk Officer, AvePoint. “The latest release of Compliance Guardian empowers companies to overcome privacy and security barriers by optimising data, reducing risk, and implementing best practices for data lifecycle management and purpose limitation – all while maintaining a full audit trail of risk-based calculations and decisions.”

Compliance Guardian provides a fully integrated platform for Data Centric Audit and Protection (DCAP), enabling organisations to understand and take action on their data from the moment it is created throughout the full information lifecycle to minimize risk of security, privacy, and compliance violations. Through all-in-one scanning, discovery, mapping, tagging, classification, incident management, and reporting across cloud-based, hybrid, and on-premises systems, Compliance Guardian delivers a powerful set of solutions that unify IT and security teams with business content owners to create a culture of compliance and privacy by design across the organisation.

Intelligent and Scalable Data Analysis and Classification with Machine Learning

Utilising complex machine learning algorithms, Compliance Guardian 4 SP 2 adds an additional layer of intelligence to data analysis and classification across organisational content. The new capability enables the platform to analyse sample documents and create an output to scan and discover similar documents in new content across information systems. Organisations can classify content with greater accuracy and less human effort while bringing a new level of refinement to automated decision making. As a native feature, machine learning in Compliance Guardian does not require data to be uploaded and processed in the cloud for analysis.

Additional New Features Offer Strengthened Risk Management Wherever Data Lives

Along with machine learning, Compliance Guardian 4 SP 2 includes significant feature enhancements that help mitigate risk across additional data sources as well as strengthen content analysis. New enhancements include:

“The newest updates to Compliance Guardian enable the platform to scale to support some of the largest and most complex organisations with data centers both on premises and in the cloud,’ said George Wang, Chief Architect, AvePoint. “Through machine learning and file analysis in Compliance Guardian platform, organisations can use Compliance Guardian to discover, map, classify, and protect information wherever it lives – improving performance of their systems while mitigating risk and taking advantage of the full value of their data.”

Compliance Guardian 4 SP 2 is generally available today, March 16, 2017. For more information on the platform features, please visit our website. Attendees of the IAPP Europe Data Protection Intensive 2017 can also see an in-person demo of Compliance Guardian and learn more about the latest update at booth 12.

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