Machine Learning (ML) is a subset of artificial intelligence (AI) that enables systems to automatically learn from data and improve their performance over time without being explicitly programmed. ML models identify patterns, make predictions, and support decision-making across a wide range of business and technical applications.
An identity associated with a machine learning model or algorithm, used to authenticate and authorize access to data, resources, or computational resources. Machine learning identities enable secure and controlled access to sensitive information and computational resources.
Machine-to-Machine (M2M) Communication
IAM concepts
Communication between non-human entities, such as machines, devices, or applications, without direct human intervention. M2M communication often relies on secure authentication and authorization mechanisms to ensure data privacy and integrity.
Multi-factor Authentication (MFA)
Security concepts
An authentication method that requires users to provide multiple forms of verification, such as passwords, biometrics, or tokens, to access sensitive resources. Some secrets managers support MFA to enhance security when accessing stored secrets.
