Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

Intel is our open-source security threat feed powered by AI and our in-house research team. Intel monitors and uncovers vulnerabilities in open-source packages before they are disclosed. Many never are.

In today’s interconnected digital ecosystems, traditional security mechanisms like Web Application Firewalls (WAFs), API gateways, and Content Delivery Networks (CDNs) act as enforcement points. Think of them as bouncers at the entrance of a high-profile nightclub—they decide who gets in and who doesn’t. However, relying solely on these edge solutions to secure APIs is like assuming a bouncer can stop someone sneaking in through a side door or an open window.

With the emergence of artificial intelligence (AI), there has been a flurry of new terms to describe an increasing variety of new problems. Some of those problems have been around for decades but are now more difficult to manage due to the versatility of AI-based tools and applications. One of those ongoing challenges is shadow IT with a new class of problems classified as shadow AI.

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?