Generative AI | Breaking Cybersecurity News | The Hacker News

As the adoption of generative AI tools, like ChatGPT, continues to surge, so does the risk of data exposure. According to Gartner's "Emerging Tech: Top 4 Security Risks of GenAI" report, privacy and data security is one of the four major emerging risks within generative AI.  A new webinar  featuring a multi-time Fortune 100 CISO and the CEO of LayerX, a browser extension solution, delves into this critical risk. Throughout the webinar, the speakers will explain why data security is a risk and explore the ability of DLP solutions to protect against them, or lack thereof. Then, they will delineate the capabilities required by DLP solutions to ensure businesses benefit from the productivity GenAI applications have to offer without compromising security.  The Business and Security Risks of Generative AI Applications GenAI security risks occur when employees insert sensitive texts into these applications. These actions warrant careful consideration, because the inserted data b

With generative artificial intelligence (AI) becoming all the rage these days, it's perhaps not surprising that the technology has been repurposed by malicious actors to their own advantage, enabling avenues for accelerated cybercrime. According to findings from SlashNext, a new generative AI cybercrime tool called  WormGPT  has been advertised on underground forums as a way for adversaries to launch sophisticated phishing and business email compromise ( BEC ) attacks. "This tool presents itself as a blackhat alternative to GPT models, designed specifically for malicious activities," security researcher Daniel Kelley  said . "Cybercriminals can use such technology to automate the creation of highly convincing fake emails, personalized to the recipient, thus increasing the chances of success for the attack." The author of the software has described it as the "biggest enemy of the well-known ChatGPT" that "lets you do all sorts of illegal stuff.

Continuous Threat Exposure Management (CTEM) is a strategic framework that helps organizations continuously assess and manage cyber risk. It breaks down the complex task of managing security threats into five distinct stages: Scoping, Discovery, Prioritization, Validation, and Mobilization. Each of these stages plays a crucial role in identifying, addressing, and mitigating vulnerabilities - before they can be exploited by attackers.  On paper, CTEM sounds great . But where the rubber meets the road – especially for CTEM neophytes - implementing CTEM can seem overwhelming. The process of putting CTEM principles into practice can look prohibitively complex at first. However, with the right tools and a clear understanding of each stage, CTEM can be an effective method for strengthening your organization's security posture.  That's why I've put together a step-by-step guide on which tools to use for which stage. Want to learn more? Read on… Stage 1: Scoping  When you're defin

Security and IT teams are routinely forced to adopt software before fully understanding the security risks. And AI tools are no exception. Employees and business leaders alike are flocking to generative AI software and similar programs, often unaware of the major SaaS security vulnerabilities they're introducing into the enterprise. A February 2023  generative AI survey of 1,000 executives  revealed that 49% of respondents use ChatGPT now, and 30% plan to tap into the ubiquitous generative AI tool soon. Ninety-nine percent of those using ChatGPT claimed some form of cost-savings, and 25% attested to reducing expenses by $75,000 or more. As the researchers conducted this survey a mere three months after ChatGPT's general availability, today's ChatGPT and AI tool usage is undoubtedly higher.  Security and risk teams are already overwhelmed protecting their SaaS estate (which has now become the operating system of business) from common vulnerabilities such as misconfigurati