AI and Machine Learning in Cyber Security

AI and machine learning are now becoming essential to information security, as these technologies are capable of swiftly analyzing millions of data sets and tracking down a wide variety of cyber threats — from malware menaces to shady behavior that might result in a phishing attack. These technologies continually learn and improve, drawing data from past experiences and present to pinpoint new varieties of attacks that can occur today or tomorrow 1.

AI presents many advantages and applications in a variety of areas, cybersecurity being one of them. With fast-evolving cyberattacks and rapid multiplication of devices happening today, AI and machine learning can help to keep abreast with cybercriminals, automate threat detection, and respond more effectively than conventional software-driven or manual techniques 1.

AI can be used to spot cyber threats and possibly malicious activities. Traditional software systems simply cannot keep pace with the sheer number of new malware created every week, so this is an area AI can really help with. By using sophisticated algorithms, AI systems are being trained to detect malware, run pattern recognition, and detect even the minutest behaviors of malware or ransomware attacks before it enters the system 1.
References: 1: Artificial Intelligence in Cybersecurity | IEEE CS — IEEE Computer Society. #algorithms #machinelearning #artificialintelligence