For years, Data Loss Prevention (DLP) solutions focused on email, endpoints, and network traffic, where security teams could enforce clear policies with predictable outcomes. But work has changed.

IT leaders most often rely on AI-driven monitoring tools, access control, and data governance to secure infrastructure. Fewer than one-third report extreme confidence in passing their next regulatory ...

Data security and readiness for AI are IT teams' biggest priorities ...

As data grows exponentially and cyber threats become more sophisticated, agencies must adapt their approaches to data security and IT modernization. Government agencies are navigating a rapidly ...

In a sign of how pervasive data sharing has become, businesses may face challenges complying with a new government rule restricting data use outside the US. The US Department of Justice's (DoJ) Data ...

The cloud is everywhere. Businesses, big and small, rely on it to store their most critical data, run operations and scale faster than ever before. Businesses pour millions into cloud solutions, ...

Manage big data presents a new security challenge that some businesses are not prepared for. It’s different than protecting your network or even protecting a small amount of sensitive information in ...

As enterprises experiment with artificial intelligence, managing data security for generative AI tools, including privacy and governance controls, remains a possible roadblock to its adoption. The ...

Aparna Achanta is a Principal Security Architect at IBM with over a decade of experience leading secure application development projects. Organizations are looking to rapidly seek value from ...