In the busy domain of artificial intelligence (AI), the emergence of Private Language Model Models (LLMs) marks a pivotal development in addressing the escalating concerns surrounding data protection. As organizations harness the power of AI to glean insights and streamline operations, the need for safeguarding sensitive information has become more pronounced than ever.

Jump to Tutorial Advanced Package Tool (APT) is the backbone of package management on Debian and Ubuntu systems. It simplifies the process of installing, updating, and removing software. APT works with repositories — designated locations that host packages and update information. Mastering APT repository management ensures you have access to the software you need and that your system remains secure and up to date.

Artificial Intelligence (AI) being used to carry out cybercrime isn’t new, but as AI becomes more advanced, so do the tools that cybercriminals are using. One of the most recent AI-enabled cyber threats we’ve seen is cybercriminals using voice-cloning technology to carry out scam calls. You can protect yourself from AI voice-cloning scam calls by blocking spam calls, not picking up calls from unknown numbers and creating a safe word with your family in case a legitimate emergency occurs.

IoT pentesting, also known as IoT penetration testing, is a process of assessing the security vulnerabilities of IoT devices and networks. The purpose of IoT pentesting is to identify weaknesses in the system that could be exploited by attackers and to suggest remediation measures to enhance the overall security of the IoT infrastructure. The process of conducting a successful IoT penetration test involves several steps.

Security issues in IoT are a pressing concern as the number of connected devices skyrockets. What vulnerabilities are these devices exposed to, and what can be done to secure them against escalating cyber threats? This article provides a no-nonsense overview of the inherent risks in the IoT landscape and the steps necessary to maintain the integrity and safety of IoT ecosystems.

Since 1991, Web Application Firewall, commonly referred to as WAF, has become one of the most common application security technologies available on the market. Since the last century, WAFs have evolved by incorporating the cloud and using Machine Learning instead of RegExp. Currently, few technologies, such as NG-WAF, RASP, WAAP, and a few others, have internal WAF capabilities, which prevent web applications and API threats.

While grandma’s stuffing might be the best part of your holiday turkey dinner, credential stuffing attacks can be the worst part of being the person responsible for your company’s security monitoring. Your IT environment likely consists of all the ingredients attackers need to deploy an attack successfully.

It is impressive how explosively the cloud security market has embraced detection and response in recent months. The industry, including both users and vendors, is rapidly acknowledging the complexity of modern cloud attacks. Facilitated by automation and APIs, attacks cannot be effectively countered with traditional solutions that lack context of cloud environments or focus solely on posture.