Seclored: The Data Security News Blog

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Symantec DLP and Seclore Deliver the Complete Discover-Classify-Protect-Track Promise of Data-Centric Security

Hybrid computing environments, including multi-cloud and on-prem applications, have challenged enterprises to create uniform data security policies. This heterogeneity has forced enterprises to restrict cloud ...
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Latest Posts

Generative AI a CISOs Worst Nightmare

Is Generative AI a CISO’s Worst Nightmare?

Chief Information Security Officers (CISOs) often have mixed feelings about generative AI, resulting in a profound silence on how to approach it. Most CISOs recognize the potential for innovation and efficiency, but nearly all of them are holding their collective breath on how to keep their sensitive data safe as teams dive headfirst into using generative AI to meet their business objectives.

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Gen AI and Data Security preview image 1060 x 688

Securing Data Beyond the Perimeter: Why DLPs and Firewalls Aren’t Enough Anymore

In today’s technology landscape, traditional perimeter security measures such as firewalls and DLP systems are no longer sufficient to protect sensitive data. A more effective approach is data-centric security, which includes four fundamental principles: data classification and labeling, access control at the data level, data encryption, and continuous data monitoring and auditing. By adopting this proactive approach, organizations can meet compliance regulations, prevent insider threats, and secure data in cloud and mobile environments while safeguarding sensitive data from a wide range of cyber threats. Read more to learn more about this approach.

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Preview images data privacy for financial services

Generative AI and Data Security: Navigating a Complex Landscape

While Generative AI (GenAI) has immense potential to streamline operations, it also poses significant risks, particularly in the realm of data security. Read this blog to learn about the three common scenarios where data security breaches can occur using GenAI. It emphasizes the need for organizations to increase risk awareness, implement stricter security measures, and enforce the responsible use of powerful GenAI tools.

Read More
Generative AI a CISOs Worst Nightmare

Is Generative AI a CISO’s Worst Nightmare?

Chief Information Security Officers (CISOs) often have mixed feelings about generative AI, resulting in a profound silence on how to approach it. Most CISOs recognize the potential for innovation and efficiency, but nearly all of them are holding their collective breath on how to keep their sensitive data safe as teams dive headfirst into using generative AI to meet their business objectives.

Read More →
Gen AI and Data Security preview image 1060 x 688

Securing Data Beyond the Perimeter: Why DLPs and Firewalls Aren’t Enough Anymore

In today’s technology landscape, traditional perimeter security measures such as firewalls and DLP systems are no longer sufficient to protect sensitive data. A more effective approach is data-centric security, which includes four fundamental principles: data classification and labeling, access control at the data level, data encryption, and continuous data monitoring and auditing. By adopting this proactive approach, organizations can meet compliance regulations, prevent insider threats, and secure data in cloud and mobile environments while safeguarding sensitive data from a wide range of cyber threats. Read more to learn more about this approach.

Read More →
Preview images data privacy for financial services

Generative AI and Data Security: Navigating a Complex Landscape

While Generative AI (GenAI) has immense potential to streamline operations, it also poses significant risks, particularly in the realm of data security. Read this blog to learn about the three common scenarios where data security breaches can occur using GenAI. It emphasizes the need for organizations to increase risk awareness, implement stricter security measures, and enforce the responsible use of powerful GenAI tools.

Read More →