Data management and security have become increasingly complex due to the rapid growth of data and evolving threats. According to the Identity Theft Resource Center, 2023 saw a 78% increase in data breaches compared to 2022. Organizations face challenges such as visibility and control over data, which can impede growth and increase risks. The surge in data generation from IoT, digital transformation, and the demands of AI and machine learning further complicate data management. Additionally, data backup needs have evolved from disaster recovery to cybersecurity, necessitating advanced detection and security measures to protect sensitive information.
To address these challenges, organizations must adopt comprehensive data security strategies. This includes implementing data security posture management (DSPM) solutions, which provide visibility into data distribution but often lack detailed analysis and classification. Security leaders must prioritize data classification to identify and protect critical intellectual property and sensitive information. The growing sophistication of cyberattacks, including the use of AI and machine learning by malicious actors, underscores the urgency for organizations to continuously discover, identify, and classify data. Embracing data sprawl and securing data effectively is essential for maintaining business success and mitigating the risks of data breaches.
