Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI adoption continues to move at a breakneck speed for businesses across the globe, as shown in a Coatue report comparing AI adoption to early internet adoption and found that AI growth is happening at two times the speed of the former.

In the modern workplace, GenAI models have become powerful assets due to their ability to introduce efficiency, up level product innovation, and expedite how teams close the gap on competitors. However, these powerful tools also introduce significant risks related to data security and governance. Companies that aren’t actively figuring out how to govern the GenAI they’ve adopted will inevitably be left vulnerable.

Data privacy under GDPR is crucial in today's digital age. With increasing data breaches, understanding and protecting personal information is vital. The General Data Protection Regulation (GDPR) plays a significant role in safeguarding personal data and Personally Identifiable Information (PII). GDPR, implemented in 2018, sets strict guidelines on data protection for individuals within the EU.

For small and medium-sized enterprises (SMEs), staying abreast of cybersecurity developments is critical — not just to growth, but to the company’s bottom line. But security evolves quickly, and it can be hard to keep up. In the midst of this fast-evolving security environment, AI has made a bold entrance. So bold, in fact, that only 10% of SMEs aren’t using AI and don’t plan to, according to a recent JumpCloud research report.