Artificial Intelligence and Machine Learning for Cyber-Security

Computers can be trained to be intelligent with certain kinds of tasks. Within AI, there is the subfield of machine learning, which is often used by people interchangeably with AI. Machine learning is a branch of artificial intelligence (AI) that refers to technologies that enable computers to learn and adapt through experience.

Cyber-security is about making intelligent decisions based on what is good and what is bad, based on the data that you have in front of you. Machine learning enables computers to learn from data. Machine learning has a very strong use case inside of cyber-security. Despite the challenges, cybersecurity experts are predicting a bright future for machine learning. As the technology improves, it's possible to emerge and understand that they are under attack and can take measures to protect themselves.

Machine learning also plays a major role in online fraud detection. Machine learning techniques can be used to look at buying patterns and transaction data to understand what a typical transaction is for a given user, which can aid in spotting fraud. AI systems that directly handle threats on their own according to a standardized procedure or playbook. Rather than the variability that comes with a human touch, AI systems don’t make mistakes in performing their function.

Machine learning and artificial intelligence are being applied majorly in industries, data collection and storage capabilities increase. AI systems directly handle threats on their own. Rather than the variability that comes with a human touch, AI systems don’t make any mistakes in performing their function. As such, each threat is responded to in the most effective and proper way. The AI systems have several substantial benefits that help cybersecurity professionals to take on cyber-attacks and safeguard the enterprise

For cybersecurity, this means new exploits and weaknesses can quickly be identified and analyzed to help mitigate further attacks. It can take some of the pressure of human security. The vast trove of data is valuable for AI, which can process and analyses everything captured to understand new trends and details. They are alerted when an action is needed but also can spend their time working on more creative, fruitful endeavors.