Headlines
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.
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.
Cybercriminals with little AI knowledge can now access deepfake technology due to deepfake-as-a-service platforms.By providing ready-to-use AI tools for persona simulation, image creation, and voice and video copying, these services provide for the quick execution of extremely convincing attacks.
Cybersecurity is being revolutionized by security automation technology.Security professionals receive a lot of notifications on a regular basis, which security automation helps to streamline.
More complex attacks are being generated by AI and machine learning. IoT, mobile, and cloud attacks are increasing.DDoS attacks are becoming more common now.
Data breaches are growing more frequent as a result of cybercriminals’ more sophisticated tactics. The most recent challenges to cybersecurity include ransomware, social engineering, phishing, and Internet of Things (IoT) attacks.