Model-Driven Security Engineering for Data Systems represents a structured methodology that integrates security into the early stages of system and database development. This approach leverages ...

In 2026, AI won't just make things faster, it will be strategic to daily workflows, networks and decision-making systems.

LLMs change the security model by blurring boundaries and introducing new risks. Here's why zero-trust AI is emerging as the ...

This edited extract is from How to Use Customer Data by Sachiko Scheuing ©2024 and reproduced with permission from Kogan Page Ltd. I have an extremely confidential piece of information on a particular ...

Artificial intelligence and machine learning cybersecurity startup Protect AI Inc. today announced the launch of Guardian, a new secure gateway that enables organizations to enforce security policies ...

The management of information risk has become a significant topic for all organizations, small and large alike. But for the large, multi-divisional organization, it poses the additional challenge of ...

Internally consolidating and centralizing Information Security management functions has become a popular model for better combating what has become a relentless onslaught of vulnerabilities, and those ...

Digital transformation has radically reshaped the landscape of Information Technology (IT), with Cloud Computing emerging as one of the most robust pillars of this new era. Although the concept of ...

Healthcare organizations today face a wide range of escalating threats, including workplace violence, cyber intrusions, social unrest, and increasingly targeted acts against healthcare professionals ...

Fulfilling the risk management and regulatory compliance obligations with consistency in today’s vastly disparate and complex IT enterprise environments has challenged CIO’s to rethink the approach to ...