Artificial Intelligence is a field in computer science that focuses on creating intelligent machines that can perform tasks that typically require human intelligence, such as recognizing speech, making decisions, and understanding natural language. AI involves the development of algorithms and computer programs that can learn from data and experiences, enabling them to improve their performance over time. AI is used in a wide range of applications, from virtual assistants and chatbots to self-driving cars and medical diagnosis systems.

Recently AI is impacting significantly in online security. Some key ways in which AI is affecting online security includes:

• Improved threat detection: AI can analyse massive amounts of data to identify patterns and anomalies that may indicate a security threat. This enables security systems to detect and respond to threats more quickly and accurately.
• Advanced authentication: AI can also be used to develop more advanced authentication methods, such as biometric authentication or behavioural analysis. These methods can be more secure than traditional password-based authentication.
• Automated response: AI can enable automated responses to security threats, such as blocking suspicious IP addresses or disabling compromised user accounts. This can reduce the time it takes to respond to a threat and minimize the potential damage.
• Cybercrime prevention: AI can be used to identify potential vulnerabilities in systems and networks, helping to prevent cyberattacks before they occur.

In a nutshell, AI is transforming the field of online security by providing more advanced and effective tools for threat detection, authentication, response, and prevention.

Machine Learning is a subset of AI (Artificial Intelligence) that involves the development of algorithms and computer programs that can learn from data and experiences without being explicitly programmed. 

Its algorithms use statistical techniques to identify patterns in data and make predictions or decisions based on those patterns, such as identifying abnormal behaviour on a network or system, which can indicate a security breach or cyberattack. 

It is used in a wide range of applications, from image recognition and natural language processing to fraud detection and recommendation systems. It also enables computers to improve their performance over time by learning from new data and experiences, making it a powerful tool for solving complex problems and making predictions in various fields.

Below are some resources that you can keep yourself updated with latest cybersecurity news:

DarkReading: https://www.darkreading.com/

ThreatPost: https://threatpost.com/

The Hack News: https://thehackernews.com/

KrebsOnSecurity: https://krebsonsecurity.com/

SC Media: https://www.scmagazine.com/about-us