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Machin Learning | Breaking Cybersecurity News | The Hacker News

Exploring the Realm of Malicious Generative AI: A New Digital Security Challenge

Exploring the Realm of Malicious Generative AI: A New Digital Security Challenge

Oct 17, 2023 Cyber Threat / Artificial Intelligence
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 models, Fr
Breaking the Mold: Pen Testing Solutions That Challenge the Status Quo

Breaking the Mold: Pen Testing Solutions That Challenge the Status Quo

Mar 28, 2023 Pen Testing / Artificial Intelligence
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  also increas
SaaS Compliance through the NIST Cybersecurity Framework

SaaS Compliance through the NIST Cybersecurity Framework

Feb 20, 2024Cybersecurity Framework / SaaS Security
The US National Institute of Standards and Technology (NIST) cybersecurity framework is one of the world's most important guidelines for securing networks. It can be applied to any number of applications, including SaaS.  One of the challenges facing those tasked with securing SaaS applications is the different settings found in each application. It makes it difficult to develop a configuration policy that will apply to an HR app that manages employees, a marketing app that manages content, and an R&D app that manages software versions, all while aligning with NIST compliance standards.  However, there are several settings that can be applied to nearly every app in the SaaS stack. In this article, we'll explore some universal configurations, explain why they are important, and guide you in setting them in a way that improves your SaaS apps' security posture.  Start with Admins Role-based access control (RBAC) is a key to NIST adherence and should be applied to every SaaS a
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