Protection must be embedded throughout the full data lifecycle, grounded in a robust inventory, clear classification, and ...

Cohesity, the leader in AI-powered data security, today announced new enhancements across its data protection and security portfolio, reinforcing its foundation for enterprise AI resilience. The ...

Even in an area of cybersecurity as essential as data protection, the stakes continue to climb higher in 2025. The pressures have mounted both from the intensification of data theft and extortion ...

Data recovery speed is the new priority: As ransomware threats surge, the focus of data protection has shifted from backup completion to how quickly organizations can restore critical systems and ...

To safeguard enterprise data in hybrid cloud environments, organizations need to apply basic data security techniques such as encryption, data-loss prevention (DLP), secure web gateways (SWGs), and ...

KeeperDB integrates database access into a zero-trust PAM platform, reducing credential sprawl and improving security, ...

The explosive growth of generative AI has created an unprecedented security challenge for enterprises. New research reveals that enterprise AI usage has surged by a staggering 3,000% in just one year, ...

Combining Thales’s encryption and key management with Deloitte's advanced cybersecurity services Delivering enhanced data protection, governance, and compliance capabilities Offering extensive ...

At Black Hat 2025, HPE showcases new data protection capabilities, SASE copilot, and a unified portfolio following its Juniper Networks acquisition. HPE has unveiled a secure access service edge (SASE ...

Zapier reports that AI security is crucial as AI usage grows, presenting risks like data breaches and adversarial attacks ...

OpenAI has recently identified a security flaw in a third-party developer tool called Axios and taken necessary steps to ...

The data security landscape is rapidly changing. Technology disruptions, such as the use of generative AI, come with new threats to data confidentiality and integrity. In parallel, there are stringent ...