Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A new report makes it clear that U.K. organizations need to do more security awareness training to ensure their employees don’t fall victim to the evolving use of AI. Here at KnowBe4, we’ve long known that AI is going to be a growing problem, with phishing attacks and the social engineering they employ far more believable and effective.

2024 has proved historic for technology and cybersecurity—and we still have some distance from the finish line. We’ve witnessed everything from advancements in artificial intelligence (AI) and large language models (LLMs) to brain-computer interfaces (BCIs) and humanoid robots. Alongside these innovations, new attack vectors like AI model jailbreaking and prompt hacking have emerged. And we also experienced the single largest IT outage the world has ever seen.

Large language models (LLMs) are transforming how we work and are quickly becoming a core part of how businesses operate. But as these powerful models become more embedded, they also become prime targets for cybercriminals. The risk of exploitation is growing by the day. More than 67% of organizations have already incorporated LLMs into their operations in some way – and over half of all data engineers are planning to deploy an LLM to production within the next year.

Chris Clements, VP of Solutions Architecture December 12, 2024.

How many questions does your organization need to answer about your endpoints every day, and how long does it typically take to get the answer? How often do these questions require an operator with great expertise to provide accurate answers? Do the questions feel like they are resulting in fire drills for your teams?

Recent advances in AI technologies have granted organizations and individuals alike unprecedented productivity, efficiency, and operational benefits. AI is, without question, the single most exciting emerging technology in the world. However, it also brings enormous risks. While the dystopian, AI-ruled worlds of sci-fi films are a long way off, AI is helping cyber threat actors launch attacks at a hitherto unknown scale and level of sophistication. But what are AI-powered attacks?

The ultralytics supply chain attack occurred in two distinct phases between December 4-7, 2024. In the first phase, two malicious versions were published to PyPI: version 8.3.41 was released on December 4 at 20:51 UTC and remained available for approximately 12 hours until its removal on December 5 at 09:15 UTC. Version 8.3.42 was published shortly after on December 5 at 12:47 UTC and was available for about one hour before removal at 13:47 UTC.

Protecting sensitive information has never been more critical, especially in today’s AI-driven world. As businesses increasingly leverage AI and advanced analytics, safeguarding Personally Identifiable Information (PII) and Patient Health Information (PHI) is paramount. Data masking has become a cornerstone strategy, allowing organizations to securely manage and analyze data while significantly reducing the risks of exposure and misuse.