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Home » Syrenis positioned as Leader in the 2022 SPARK Matrix for Privacy Management Software by Quadrant Knowledge Solutions

Syrenis positioned as Leader in the 2022 SPARK Matrix for Privacy Management Software by Quadrant Knowledge Solutions

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Quadrant Knowledge Solutions announced today that it has named Syrenis as a 2022 Leader in the SPARK Matrix analysis of the global privacy management software market.

The Quadrant Knowledge Solutions SPARK Matrix™ includes a detailed analysis of global market dynamics, major trends, vendor landscape, and competitive positioning. The study provides competitive analysis and ranking of the leading privacy management software vendors in the form of its SPARK Matrix, providing strategic information for users to evaluate different vendor capabilities, competitive differentiation, and market position.

Privacy management software is a comprehensive solution to automate and streamline the privacy needs of an enterprise. The software offers visibility into the current status of the privacy program and tracks progress within organizations. It enables risk management to identify, assess, and manage risks of all types across divisions, legal entities, business functions, and geographies. Additionally, it sets up manual and automated metrics to continuously monitor compliance.

Although organizations have been focusing on protecting the confidential data of their operations, with growing technologies, the threat of cyber-attacks and security breaches has also increased, which has led to organizations adopting advanced cyber security measures. The growing concerns regarding personal and sensitive data breaches and country-wise privacy frameworks and regulations have generated the need for organizations to adopt different privacy solutions. Privacy management software helps organizations conduct privacy impact assessments, track incidents that lead to unauthorized disclosure of personal data and check processing activities against requirements. After implementation, the businesses can manage and safeguard sensitive structured data throughout the lifecycle, from discovery to classification and protection to reporting. Organizations are also leveraging artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) that allow them to automatically discover and optimize critical privacy issues within business processes.

“Syrenis, with its comprehensive technology for privacy management software, has…

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