CSPM automates identification and remediation of misconfigurations and security risks across an organization's entire cloud environment.| www.ibm.com
AI-generated content is any text, image, video or audio, which is created by artificial intelligence models.| www.ibm.com
Role-based access control (RBAC) is a model for authorizing end-user access to systems, applications and data based on a user’s predefined role.| www.ibm.com
A transformer model is a type of deep learning model that has quickly become fundamental in natural language processing (NLP) and other machine learning (ML) tasks.| www.ibm.com
A look into structured and unstructured data, their key differences, definitions, use cases and more.| www.ibm.com
In prompt injection attacks, hackers manipulate generative AI systems by feeding them malicious inputs disguised as legitimate user prompts.| www.ibm.com
Explore top trends within the evolving threat landscape in the 2023 IBM Security X-Force Threat Intelligence Index.| www.ibm.com
Extended detection and response (XDR) is an open cybersecurity architecture that integrates security tools and unifies security operations across all security layers.| www.ibm.com
Linear regression is an analytics procedure that can generate predictions by using an easily interpreted mathematical formula.| www.ibm.com
A spear phishing attack tries to trick a specific individual or group of individuals into taking actions that harm their organization.| www.ibm.com
Vector embeddings are numerical representations of data points, such as words or images, as an array of numbers that ML models can process.| www.ibm.com
By analyzing data and learning from user behavior, AI-powered tools create highly personalized encounters that enhance customer experiences and increase customer engagement.| www.ibm.com
Supervised learning is a machine learning technique that uses labeled data sets to train artificial intelligence algorithms models to identify the underlying patterns and relationships between input features and outputs. The goal of the learning process is to create a model that can predict correct outputs on new real-world data.| www.ibm.com
Artificial superintelligence is a hypothetical software-based AI system with intellect beyond human intelligence.| www.ibm.com
Convolutional neural networks use three-dimensional data to for image classification and object recognition tasks.| www.ibm.com
In reinforcement learning, an agent learns to make decisions by interacting with an environment. It is used in robotics and other decision-making settings.| www.ibm.com