Artificial intelligence (AI) for cybersecurity is the use of AI tools and methods to improve computer systems, networks, and data defence against cyberattacks. Artificial Intelligence helps by automating threat detection, analyzing vast amounts of data, finding trends, and reacting instantly to security issues.
A subset of artificial intelligence (AI) called machine learning allows computers to recognize features, categorize data, spot patterns in data, make decisions and predictions, and reveal insights automatically.
A subset of machine learning (ML), which is also subfield of artificial intelligence (AI), is deep learning (DL). In its most basic form, deep learning makes use of an artificial neural network (ANN),designed to imitate the structure and function of neurons in the human brain.Deep learning uses deeper networks.The depth of an ANN is determined by its number of layers.
Massive volumes of data are analyzed by AI to find patterns and indications of compromise.This method helps to detect anomalous traffic from IoT devices or endpoints, suspicious network activity, and odd login attempts.
By scanning email messages, attachments, and links,AI helps block spam and phishing attempts.AI can help in preventing malware, blocking harmful traffic, and isolating infected devices by continuously monitoring networks.Also, it predicts high-risk areas where breaches are most likely to occur, enabling businesses to proactively fix vulnerabilities before they become significant issues.
