Adapting to Evolving Data Security Needs
Legacy solutions are often inadequate and fail to scale effectively in today's cybersecurity landscape. Modern businesses face a variety of challenges when securing their data:
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Different Types of Data and Objectives: Data security management solutions must cover an ever-expanding range of data types, from traditional structured databases to unstructured data scattered across multiple platforms.
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Emerging Risks from Generative AI: New AI technologies introduce novel data risks that legacy systems are ill-equipped to manage. These technologies require advanced detection methods to identify and mitigate potential threats effectively.
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Evolving Regulations: Data security protocols must adapt to comply with new and changing regulations across different regions and industries, ensuring that data security management practices remain compliant.
Managed Data security with Microsoft Purview and CyberMSI
We use Microsoft Purview to help organizations secure data across its lifecycle wherever it lives, unlock value creation from data, and manage critical cybersecurity risks and regulatory requirements.
Advantages of CyberMSI’s Managed Data Security
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Comprehensive Visibility: Insights correlated across data and user context for structured and unstructured data sources, including Microsoft Azure, AWS, cloud applications generative AI apps, and many more.
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Seamless Data Security: End-to-end protection using a single platform to ease data security value across your digital estate.
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Unified Cyber Risk Management: Correlation and centralized management of data security incidents with other incident types (e.g., endpoint or phishing attacks) using AI-powered data classifiers, cyber threat detection, and adaptive protection.