MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) is a knowledge base and framework designed to categorize and document threats, vulnerabilities, and attack techniques specific to artificial intelligence (AI) and machine learning (ML) systems. Developed by MITRE, ATLAS provides security professionals, researchers, and organizations with a structured approach to understanding how adversaries might exploit AI/ML models, data pipelines, and associated infrastructure. The framework includes real-world examples, mitigations, and detection strategies, helping to improve the security posture of AI systems. By mapping out the unique risks in AI environments, MITRE ATLAS supports informed decision-making for securing next-generation technologies.