Secure your data
AI adoption is accelerating. And with it, so are the risks of data exposure. This infographic explains how organizations can take a multi-layered, integrated approach to securing sensitive data across cloud apps, endpoints, and generative AI. View the infographic to rethink your data security approach and contact Cyberworld Logistics to discuss how to apply these strategies to your environment.
How can organizations secure their data in the age of AI?
Organizations can secure their data by adopting a comprehensive approach that combines data and user context across their estate, devices, and generative AI applications. This includes leveraging AI-powered insights to discover hidden risks, implementing flexible controls to balance protection and productivity, and utilizing integrated solutions to investigate and respond to data security incidents efficiently.
What are the key concerns regarding data security?
Key concerns among decision-makers include the lack of visibility into sensitive data locations, risks from malicious insiders, and the potential for sensitive data leakage. Organizations can address these issues by employing tools that discover, classify, and label sensitive data, understanding user activity to identify risks, and applying flexible security measures that allow productivity while preventing data loss.
Why is an integrated data security solution preferred?
Integrated data security solutions are preferred because they provide a comprehensive view of data security across various platforms, reducing the complexity of managing multiple tools. According to recent research, 80% of decision-makers believe that these integrated solutions are superior to manual, best-of-breed options. Organizations using an average of 10 or more tools often experience more data security incidents, highlighting the effectiveness of a streamlined approach.
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