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AI security is the use of artificial intelligence, especially machine learning, deep learning, and generative AI, to strengthen an organization’s cybersecurity posture. AI systems analyze large volumes of network, application, user, and traffic data to establish normal behavior, detect anomalies, identify threats, and support automated prevention, investigation, and remediation. Generative AI can also translate security data into plain-language recommendations that help security teams make faster decisions. The purpose of AI security is to improve threat detection, accelerate incident response, automate routine security operations, and provide continuous protection against evolving cyberthreats. It can help organizations detect malware, phishing, fraud, brute-force attacks, vulnerabilities, and unusual access patterns while reducing operational costs and breach impact. AI security differs from securing AI, which focuses on protecting AI models, data, and deployments from attacks, misuse, unauthorized access, bias, and compliance risks.
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