Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

This blog has been adapted from a section of 1Password’s ebook: “Why MDM isn’t enough for device security”. To read the complete ebook, click here. For years, mobile device management solutions (MDMs) have been all but ubiquitous in corporate cybersecurity. Devices enrolled in MDM are commonly referred to as “managed,” which reflects the tendency of companies to consider a device functionally secure as long as it has MDM installed.

This article explores why AI is complicating compliance and the critical steps enterprises must take to avoid regulatory pitfalls.

Lately, it seems like the only thing anyone is talking about in the technology sector is Artificial Intelligence. With good reason! AI is an incredibly powerful tool that is only going to grow in usage and scope. However, there seems to be a lot of confusion around various terms involving AI and security. The focus of this blog will be breaking down the differences between securing AI, secure AI use, AI for security, and AI safety.

Confidently scale AI initiatives with irrefutable proof of ethical data practices and compliant AI operations. In today’s rapidly evolving digital landscape, the intersection of data provenance and AI governance has become mission-critical for businesses. As AI continues to shape industries – from healthcare and finance to media and technology – the need for verifiable data integrity and responsible AI oversight has never been more urgent.

Companies are rapidly moving to hybrid cloud environments, with most of them already making this transition. This fundamental change affects how organizations handle their infrastructure.

Building secure applications is about more than just adding security features at the end of the development process. It’s about addressing vulnerabilities and threats as they arise and improving security continuously—right from the start. That’s the power of DevSecOps.

Innovation, specifically the evolution of technology, has always been about expanding what’s possible or simplifying today’s complexity – sometimes both. We saw this with the internet revolution, adoption of cloud computing, remote working, low-code/no-code, and now AI is fundamentally reshaping how teams operate. While these advancements bring opportunities for organizations and push people’s creativity to new limits, they also introduce new risks.

The Digital Operational Resilience Act (DORA) is one of the most significant cybersecurity regulations for financial institutions in the European Union (EU). Failure to comply can have massive consequences, including financial penalties and forced operational downtime, meaning achieving DORA compliance should be a priority for all EU financial institutions. Implementing a comprehensive API security strategy goes a long way toward ensuring compliance with DORA requirements.