Compare IBM Data Risk Manager vs. Informatica Data Privacy Management in 2025

IBM Data Risk Manager

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Description

Unrecognized threats can have significant consequences for your organization. It is crucial to pinpoint and mitigate risks associated with sensitive business information, as these can adversely affect business operations, processes, and competitive standing. IBM Data Risk Manager equips executives and their teams with a user-friendly data risk control center designed to identify, evaluate, and visualize risks linked to data, empowering them to take proactive measures to safeguard their organization. This tool helps locate high-value, sensitive information assets that may be vulnerable to both internal and external threats. It also provides a comprehensive overview of the business metadata connected to critical data assets. By translating complex data risks into understandable terms for executives, it fosters informed discussions among IT, security teams, and business units, ultimately enhancing processes and reducing risks. By leveraging this platform, organizations can create a culture of awareness and resilience against data risks.

Description

Uncover your data, evaluate potential risks, and keep an eye on unusual access patterns to streamline protection, enhance transparency, and improve response times, all through a single platform. Focus on bolstering investments in data privacy and protection initiatives, including policies, processes, and programs. Assess the value across various domains by utilizing metadata from specific database sources to provide insights into risk visibility. Establish a comprehensive subject registry and automate identity mapping to effectively manage data subject access requests (DSARs). Deliver thorough summaries through APIs that connect with third-party solutions, implementing controls for data objects and beyond. Identify the locations of sensitive data as well as its movement to different data repositories and cloud applications. Address risks based on their priority, simulate potential threats to evaluate impacts for informed decision-making, and introduce relevant controls. Leverage an extensive selection of dashboard drill-downs for a comprehensive view of data risks and control deficiencies. Additionally, generate integrated reports on data subjects, automate risk mitigation efforts, and utilize visualizations and alerts to maintain a proactive stance in data management. This approach ensures a holistic strategy for safeguarding sensitive information while navigating the complexities of data protection.