Large language models (LLMs), such as ChatGPT, have gained significant popularity for their ability to generate human-like conversations and assist users with various tasks. However, with their increasing use, concerns about potential vulnerabilities and security risks have emerged. One such concern is prompt injection attacks, where malicious actors attempt to manipulate the behavior of language models by strategically crafting input prompts.

A new study found that ChatGPT can accurately recall any sensitive information fed to it as part of a query at a later date without controls in place to protect who can retrieve it. The frenzy to take advantage of ChatGPT and other AI platforms like it has likely caused some to feed it plenty of corporate data in an effort to have the AI process and provide insightful output based on the queries received.

In today’s rapidly digitizing world, the importance of data security has become paramount. With the increasing amount of sensitive information being shared and stored online, securing information from cyber attacks, information breaches, and theft has become a top priority for companies of all sizes. Data loss prevention (DLP) is a critical part of the Netskope Intelligent Security Service Edge (SSE) security platform, providing best-in-class data security to our customers.

Large language models have gained immense popularity among web users today owing to the generation of human-like text responses. However, as with any technology, LLM is not without its risks and safety issues.

Malicious code is not difficult to find these days, even for OT, IoT and other embedded and unmanaged devices. Public exploit proofs-of-concept (PoCs) for IP camera vulnerabilities are routinely used by Chinese APTs, popular building automation devices are targeted by hacktivists and unpatched routers used for Russian espionage.

CrowdStrike has pioneered the use of artificial intelligence (AI) since we first introduced AI-powered protection to replace signature-based antivirus over 10 years ago, and we’ve continued to deeply integrate it across our platform since. We combine the best in technology with the best of human expertise to protect customers and stop breaches.

As the world continues to evolve, so does the nature of warfare. China's People's Liberation Army (PLA) is increasingly focused on "Cognitive Warfare," a term referring to artificial intelligence (AI)-enabled military systems and operational concepts. The PLA's exploration into this new domain of warfare could potentially change the dynamics of global conflict.

Over the past few months, our collective fascination with AI has reached unprecedented heights, leading to an influx of information and discussions on its potential implications. It seems that wherever we turn, AI dominates the conversation. AI has captivated the imaginations of tech enthusiasts, researchers, and everyday individuals alike. At the tender age of 11, I received my very first computer, the legendary ZX Spectrum. Looking back, it's hard to believe how much has changed since then.

In today’s rapidly evolving digital landscape, organizations not only seek out, but need to harness the power of emerging technologies to stay ahead of the competition. Two of the most promising trends in the tech world are generative AI and low-code/no-code development. Generative AI, in particular, has generated the majority of the headlines, with seemingly infinite use cases to spur productivity for end users and business.

ChatGPT is all the rage these days. Its ability to magically produce coherent and typically well-written, essay-length answers to (almost) any question is simply mind-blowing. Like any marketing department on the planet, we wanted to “latch onto the news.” How can we connect Cato and ChatGPT? Our head of demand generation, Merav Keren, made an interesting comparison between ChatGPT and Google Search.