Machin Learning | Breaking Cybersecurity News | The Hacker News

Recently, the cybersecurity landscape has been confronted with a daunting new reality – the rise of malicious Generative AI, like FraudGPT and WormGPT. These rogue creations, lurking in the dark corners of the internet, pose a distinctive threat to the world of digital security. In this article, we will look at the nature of Generative AI fraud, analyze the messaging surrounding these creations, and evaluate their potential impact on cybersecurity. While it's crucial to maintain a watchful eye, it's equally important to avoid widespread panic, as the situation, though disconcerting, is not yet a cause for alarm. Interested in how your organization can protect against generative AI attacks with an advanced email security solution?  Get an IRONSCALES demo .  Meet FraudGPT and WormGPT FraudGPT  represents a subscription-based malicious Generative AI that harnesses sophisticated machine learning algorithms to generate deceptive content. In stark contrast to ethical AI mode...

Malicious actors are constantly adapting their tactics, techniques, and procedures (TTPs) to adapt to political, technological, and regulatory changes quickly. A few emerging threats that organizations of all sizes should be aware of include the following: Increased use of Artificial Intelligence and Machine Learning : Malicious actors are increasingly leveraging AI and machine learning to automate their attacks, allowing them to scale their operations faster than ever before. The exploitation of cloud-based technologies:  Cloud-based services are increasingly being targeted by malicious actors due to the lack of visibility and control over these platforms. Increased use of ransomware:  Ransomware is becoming a more popular method of attack, allowing malicious actors to monetize their operations quickly. According to  CompTIA , ransomware attacks grew by 41% in 2022, while identification and remediation for a breach took 49 days longer than average. Phishing attacks...

Vulnerability Management (VM) has long been a cornerstone of organizational cybersecurity. Nearly as old as the discipline of cybersecurity itself, it aims to help organizations identify and address potential security issues before they become serious problems. Yet, in recent years, the limitations of this approach have become increasingly evident.  At its core, Vulnerability Management processes remain essential for identifying and addressing weaknesses. But as time marches on and attack avenues evolve, this approach is beginning to show its age. In a recent report, How to Grow Vulnerability Management into Exposure Management (Gartner, How to Grow Vulnerability Management Into Exposure Management, 8 November 2024, Mitchell Schneider Et Al.), we believe Gartner® addresses this point precisely and demonstrates how organizations can – and must – shift from a vulnerability-centric strategy to a broader Exposure Management (EM) framework. We feel it's more than a worthwhile read an...