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AI cybersecurity tools use machine learning and natural language processing to detect, prevent, and mitigate cyber threats more efficiently than traditional methods. These tools analyze vast amounts of data to identify patterns, detect anomalies, and automate response actions across networks, clouds, endpoints, and applications. 
Key Types and Functions of AI Cybersecurity Tools
Threat Detection & Response: These tools monitor endpoints, network traffic, and user behaviors to identify suspicious activity and known indicators of compromise (IOCs). Unlike signature-based systems, AI can uncover previously unknown (zero-day) threats by identifying unusual patterns and behaviors.
Anomaly Detection: By establishing a "normal" baseline for network and user behavior, AI tools can flag deviations, which may indicate insider threats, system misuse, or early-stage attacks.
Vulnerability Assessment & Prioritization: AI can automate the process of finding weaknesses across systems and prioritizing which vulnerabilities are most critical based on context, exploitability, and business impact.
Automated Incident Response: AI tools can automate many aspects of incident handling, such as isolating impacted systems, generating incident summaries, and executing predefined response playbooks, which shortens the response window and limits harm.
Cloud-Native Security (CNAPP): AI manages risks across complex hybrid and multi-cloud environments, ensuring consistent security posture, detecting misconfigurations, and protecting workloads like VMs, containers, and serverless functions.
Security Assistants (GenAI): Generative AI (GenAI) powered assistants help security teams by automating alert triage, conducting natural language threat hunting, and providing remediation guidance, reducing manual effort and alert fatigue. 
Noteworthy AI Cybersecurity Tools & Vendors
Several platforms leverage AI to offer comprehensive security solutions: 
Darktrace: Uses self-learning AI to build a baseline of normal behavior for every user and device, enabling it to detect and autonomously respond to novel and stealthy threats.
Vectra AI: An AI-driven Network Detection and Response (NDR) platform that specializes in detecting attacker behaviors like lateral movement and privilege escalation across networks, identity, cloud, and SaaS domains.
CrowdStrike Falcon: An AI-powered platform providing unified endpoint and cloud workload protection, next-gen antivirus, threat intelligence, and managed detection and response services.
SentinelOne Singularity: Offers unified, AI-powered protection, detection, and response across endpoints, cloud workloads, and identities, featuring autonomous threat prevention and a natural language threat hunting interface.
Microsoft Security Copilot & Defender for Cloud: Integrates GenAI with its security portfolio to provide a unified view of incidents and automate investigations and responses across environments.
Palo Alto Networks Prisma Cloud: A Cloud-Native Application Protection Platform (CNAPP) that uses AI for risk prioritization, runtime threat detection, and securing AI application development. 
AI tools are an augmentation to established cybersecurity practices, helping human analysts focus on critical threats and adapt quickly to the evolving threat landscape.