Headlines
The Internet of Things (IoT) is a network of physical devices that have sensors, software, and communication technologies incorporated in them.
The use of AI technologies, such as generative AI (GenAI), to facilitate or expedite cyberattacks is known as “Dark AI.”Attackers develop or use dark AI to take advantage of weaknesses, automate attacks.
Behavioral biometrics use physical activity and behavior analysis to help detect and prevent fraud.Behavioral biometrics analyzes distinct patterns in consumers’ interactions with technology, such as walking patterns, touchscreen pressure, mouse movements, and typing rhythm.
Phishing, malware, and BEC threats are prevented by AI-powered email protection before they reach users’ inboxes or AI-driven workflows.
AI-powered cybersecurity tools are security systems that use automation, machine learning, and behavioral analytics to identify, rank, and address vulnerabilities at every stage of the software development lifecycle.
Cybercriminals use a method called spoofing to pass off malicious communication or activity as from a reliable source. They use this to make their phone calls, emails, and websites appear real.
Software or hardware designed to track and log keystrokes on a computer is called a keylogger.In order to obtain sensitive data, such as passwords or personal information, keyloggers secretly record keyboard inputs.
A fundamental concept in artificial intelligence, AI Fairness seeks to ensure fair and just results for people or groups, regardless of their varied characteristics.
A deep learning algorithm that has been trained on enormous datasets to read, summarize, translate, forecast, and create content is called a Large Language Model (LLM).
For years, there has been a recurring problem with online romance scams. However, scammers have created new strategies to trick unwary people as artificial intelligence (AI) has grown.