ChatGPT and other Large Learning Modules have been in use for less than a year, yet these applications are transforming at an almost exponential rate. The changes taking place present an odd duality for the cybersecurity world. It is both a boon and a danger to security teams. In some cases, enabling teams to do more with less.

The fusion of Cloud and AI is more than just a technological advancement; it’s a paradigm shift. As businesses harness the combined power of these transformative technologies, the importance of a security-centric approach becomes increasingly evident. This exploration delves deeper into the strategic significance of navigating the Cloud-AI nexus with a focus on security and innovation.

In the world of technology, few concepts have captured our collective imagination like Artificial Intelligence (AI). It’s the promise of machines that can think, learn, and perform tasks with a level of sophistication that mimics human intelligence. Yet, the allure of AI has also given rise to a web of confusion, myths, and misunderstandings.

For almost a century, artificial intelligence (AI) has been depicted in our media. Starting with Fritz Lang’s 1927 film, “Metropolis,” and through major blockbusters like The Terminator series, “2001: A Space Odyssey,” and “Her,” these movies have all included or focused on AI’s potential impact.

A new report takes an exhaustive look at how cybersecurity professionals see the current and future state of attacks, and how well vendors are keeping up. The role of artificial intelligence (AI) in cyber attacks and cyber defenses can be pretty confusing.

Every year, JFrog brings the DevOps community and some of the world’s leading corporations together for the annual swampUP conference, aimed at providing real solutions to developers and development teams in practical ways to prepare us all for what’s coming next.

In today’s world, and in particular, the cybersecurity landscape, the buzzword is undoubtedly “AI.” We’re constantly discussing it because of its incredible ability to think, create, and adapt in real-time.

AI and machine learning (ML) have hit the mainstream as the tools people use everyday – from making restaurant reservations to shopping online – are all powered by machine learning. In fact, according to Morgan Stanley, 56% of CIOs say that recent innovations in AI are having a direct impact on investment priorities. It’s no surprise, then, that the ML Engineer role is one of the fastest growing jobs.

Phishing attacks have always been detected through broken English, but now generative artificial intelligence (AI) tools are eliminating all those red flags. OpenAI ChatGPT, for instance, can fix spelling mistakes, odd grammar, and other errors that are common in phishing emails. This advancement in AI technology has made it easier for even amateur hackers to analyze vast amounts of publicly available data about their targets and create highly personalized and convincing emails within seconds.