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The Pitfalls of Relying on Data Loss Prevention Alone

Data Loss Prevention (DLP) solutions are often the heroes of our data security stories.
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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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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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