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Driven by IoT, automation, machine learning, cloud-connected systems—qualities of the Industry 4.0 revolution—the industrial sector is changing dramatically. Along with smart manufacturing, this advancement enables real-time monitoring, predictive maintenance, heretofore
From simple to sophisticated, frequent to catastrophic, cyber threats have evolved in the hyperconnected financial environment of today. From APIs to mobile banking apps, any digital interaction might give hackers
LLMs in Cybersecurity: Tool or Target? Every aspect of the digital landscape—including cybersecurity—is being changed by Large Language Models (LLMs) such as GPT-4, Claude, and Gemini. These AI-powered models are
2025 is becoming a key year for cloud security as cloud computing keeps changing the digital scene. Rapid adoption of multi-cloud settings, AI-driven workloads, and remote-first operations has created evolving
The attack surface has grown significantly as companies fast moving to the cloud. Although cloud providers provide strong infrastructure security, misconfigurations, design flaws, and inadequate threat awareness inside cloud systems
Cybersecurity must take steps for new attack surface dangers as more companies move their applications and infrastructure to the cloud. In a world where people, devices, and workloads are spread
By allowing strong AI-driven applications, Large Language Models (LLMs) have transformed many industries. Still, these models raise serious security issues for companies that they must address to ensure ethical and
Cyber hazards abound in the linked world of today. Cybercriminals use weaknesses in security to pilfers data, commits fraud, and disturbs services. Protection of private data and a safer online
General Overview Thick client applications—also referred to as fat clients—are software programs whereby most of the processing is done on the client side, depending on a server for data storage
An API security assessment is a rigorous study of an API’s security posture aimed at identifying vulnerabilities, defects, and likely risks. This process helps companies ensure their APIs are secure
