What Is Cloud Security Posture Management (CSPM)? | IBM
CSPM automates identification and remediation of misconfigurations and security risks across an organization's entire cloud environment.| www.ibm.com
CSPM automates identification and remediation of misconfigurations and security risks across an organization's entire cloud environment.| www.ibm.com
A Boolean value represents a truth value; that is, TRUE or FALSE. A Boolean expression or predicate can result in a value of unknown, which is represented by the null value.| www.ibm.com
Get started with Granite Guardian 3.2 models today.| www.ibm.com
AI-generated content is any text, image, video or audio, which is created by artificial intelligence models.| www.ibm.com
Data leakage occurs when sensitive information such as personally identifiable information and trade secrets are unintentionally exposed to unauthorized parties.| www.ibm.com
If you’re a CHRO, you probably can’t read a news article or blog these days without hearing about agentic AI. It’s everywhere.| www.ibm.com
Discover the differences and commonalities of artificial intelligence, machine learning, deep learning and neural networks.| 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
What will it take to win with AI? Explore this report to learn what business leaders need to know to overcome the obstacles that lie ahead—and what they can do to gain a competitive edge in 2025.| IBM
The place to shop for software, hardware and services from IBM and our providers. Browse by technologies, business needs and services.| 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
IBM Decision Optimization for Watson Studio enables teams to utilize prescriptive analytics to build solutions using machine learning and optimization.| www.ibm.com
Unlock valuable insights with IBM Watson Discovery, an AI-powered platform that uses advanced intelligent document processing to improve productivity and enhance decision-making| www.ibm.com
A look into structured and unstructured data, their key differences, definitions, use cases and more.| www.ibm.com
Environment, health and safety (EHS) is a multidisciplinary field that focuses on the protection of human health and the environment.| www.ibm.com
Discover how well-designed chatbots can encourage your customers to take action and boost your bottom line.| www.ibm.com
CEOs are under pressure to turn turbulence into opportunity. Activate five mindshifts to create clarity in crisis—and supercharge your organization’s growth with AI.| IBM
Today, we’re unveiling one of the most comprehensive portfolios in the industry for helping companies build, run and manage agents.| www.ibm.com
A black box AI is an AI system whose internal workings are a mystery to its users.| www.ibm.com
This cloud-based video portal solution includes AI-driven deep search and the ability to track usage down to the individual user level with detailed metrics.| www.ibm.com
Explore the pricing options for IBM Video Streaming, a cloud-based streaming platform for live video hosting.| www.ibm.com
Customer stories share success of virtual events, product launches, corporate communications and other enterprise video uses.| www.ibm.com
Purchasing on IBM.com can be impacted by location. Purchase eligibility is listed here.| 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
Supplier management is the collection of processes enabling a company to identify, qualify, onboard, transact and collaborate with suitable business suppliers.| www.ibm.com
Explore top trends within the evolving threat landscape in the 2023 IBM Security X-Force Threat Intelligence Index.| www.ibm.com
Tomorrow may not be able to run with yesterday’s talent, and tomorrow’s talent may not be able be rely on yesterday’s ways of working.| www.ibm.com
In this episode of the IBM AI Academy, explore issues like AI hallucination, bias and risk, and learn how applying AI ethics and governance builds trust.| 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
Two early game-playing programs, Samuel Checkers and TD-Gammon, led to breakthroughs in artificial intelligence| www.ibm.com
A content management system (CMS) is a software that helps users create, manage, store and modify their digital content in a customizable, user-friendly interface.| www.ibm.com
Listen to the latest episode of Mixture of Experts–an IBM podcast. Your weekly AI news podcast! #MoEPodcast #MixtureOfExperts #IBM| www.ibm.com
Monte Carlo Simulation is a type of computational algorithm that uses repeated random sampling to obtain the likelihood of a range of results of occurring.| www.ibm.com
A Domain Name System (DNS) record is a set of instructions used to connect domain names with internet protocol (IP) addresses within DNS servers.| www.ibm.com
Ottieni il report Cost of a Data Breach 2024 per accedere a informazioni aggiornate sull'evoluzione delle minacce alla cybersecurity.| www.ibm.com
Adapting to emerging trends is essential to maximizing potential, minimizing risk and responsibly scaling generative AI adoption.| www.ibm.com
IBM's definition of cybersecurity. Learn how modern threats evolve with technology, stay ahead with trends and access the latest security reports.| www.ibm.com
Early iterations of the AI applications we interact with most today were built on traditional machine learning models. These models rely on learning algorithms that are developed and maintained by data scientists.| www.ibm.com
Data synchronization, or data sync, is the continuous process of keeping data records accurate and uniform across network systems and devices.| www.ibm.com
Learn how telecommunications operators can use generative AI to reimagine customer service and the contact center employee experience.| IBM
This page hosts previous versions of the IBM Privacy Statement in PDF format.| www.ibm.com
This IBM Data Privacy Framework Policy for Cloud Services (Policy) applies to certain designated IBM Infrastructure-as-a-Service, Platform-as-a-Service, Software-as-a-Service, and other hosted offerings that are Data Privacy Framework certified (Data Privacy Framework-Certified Cloud Services).| www.ibm.com
IBM uses Binding Corporate Rules (BCRs) in order to protect personal data (referred to as personal information) it controls; IBM’s Controller BCRs were approved by the European Data Protection Authorities in 2017. Below you can find a summary of our BCRs – if you would like a copy of the full BCRs please contact the IBM Chief Privacy Office at the following address: 1 North Castle Drive, Armonk, New York, 10504, U.S.A.| www.ibm.com
Visit the global IBM contact page for answers to questions regarding products, sales, support, learning resources, careers and everything else IBM.| www.ibm.com
This Privacy Notice supplements the IBM Privacy Statement and describes data privacy information related to IBM’s recruitment and/or hiring process.| www.ibm.com
Turbonomic scales existing VMware resources to prevent overprovisioning, reducing hardware refresh costs and licensing needs without impacting performance. Optimize and monitor your VMware performance today.| www.ibm.com
Turbonomic enhances cost efficiency by automatically resizing containers, scaling clusters and allocating demand and SLO-based resources to Kubernetes workloads. Optimize and monitor your Kubernetes performance today.| www.ibm.com
Maximize GPU efficiency with IBM Turbonomic. Optimize workloads with dynamic resource management to enhance performance without compromise.| www.ibm.com
IBM Turbonomic platform delivers full-stack visibility, ensuring smarter resource decisions and application performance while cutting costs.| www.ibm.com
IBM Turbonomic optimizes application resourcing for assured performance, streamlines data center operations, and enhances cost-efficient data center management.| www.ibm.com
IBM Turbonomic analyzes bottlenecks, automates resource allocation, prevents issues with AI-driven automation and delivers insights with smart dashboards.| www.ibm.com
IBM Turbonomic automates resource provisioning to increase cloud efficiency, reduce costs with cloud cost management tools and assure application performance.| www.ibm.com
IBM Turbonomic software provides cloud migration planning that allows you to optimize your cloud consumption from the start and simplify your cloud migration.| www.ibm.com
IBM Turbonomic automates IT resource optimization to maximize utilization, reduce waste, assure performance and cut costs.| www.ibm.com
See how IBM Turbonomic enables IBM Technology Zone to provision 16,000 live demo environments each month.| www.ibm.com
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See how the IBM CIO Organization relies on Turbonomic automation to optimize resource allocation across a multi-tenant OpenShift environment.| www.ibm.com
APIS IT maximizes application performance while making efficient use of computing resources with IBM Instana Observability and IBM Turbonomic.| www.ibm.com
Open source software (OSS) is a decentralized development model that distributes source code publicly for open collaboration and peer production.| www.ibm.com
AI ethics is a framework that guides data scientists and researchers to build AI systems in an ethical manner to benefit society as a whole.| www.ibm.com
Since late March 2025, IBM Security has been closely monitoring a sophisticated spear phishing campaign designed to steal Amazon and Amazon Prime credentials and primarily targeting residents of France. Learn more.| 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
“Doing sustainability” doesn’t actually translate to being sustainable. Here’s what does—and it increases business value.| IBM
A machine learning algorithm is a set of rules or processes used by an AI system to conduct tasks.| www.ibm.com
Retrieval augmented generation (RAG) is an architecture for optimizing the performance of an artificial intelligence (AI) model by connecting it with external knowledge bases.| www.ibm.com
A cloud-based streaming platform for live video hosting, transcoding, multi-platform playout, analytics and management of recorded video content.| 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
Constance Hotels, Resorts & Golf worked with IBM to build a hybrid cloud architecture that would act as a central data warehouse and analytics platform.| www.ibm.com
Explainable artificial intelligence (XAI) allows human users to comprehend and trust the results and output created by machine learning algorithms.| www.ibm.com
Start building with Granite 4.0, our family of open, performant and trusted AI models, tailored for business and optimized to scale your AI applications.| www.ibm.com
Generative AI is artificial intelligence (AI) that can create original content in response to a user’s prompt or request.| 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
Neural networks allow programs to recognize patterns and solve common problems in artificial intelligence, machine learning and deep learning.| 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
Knowledge distillation is a machine learning technique used to transfer the learning of a large pre-trained “teacher model” to a smaller “student model.”| www.ibm.com
An artificial intelligence (AI) agent refers to a system or program that is capable of autonomously performing tasks on behalf of a user or another system.| www.ibm.com
Developed using Samsung 5nm technology, the new IBM Telum II processor will feature eight high-performance cores running at 5.5GHz.| www.ibm.com
This privacy statement describes how IBM collects, uses, and shares personal information about consumers and other individuals within our clients, business partners, supplier and other organizations with which IBM has or contemplates a business relationship.| www.ibm.com
Artificial intelligence (AI) has been a popular topic for the past decade, but more recently terms such as generative AI (gen AI) and agentic AI have emerged.| www.ibm.com
Large language models are AI systems capable of understanding and generating human language by processing vast amounts of text data.| www.ibm.com
IBM is announcing its intent to acquire DataStax, helping enterprises harness crucial enterprise data to maximize the value of generative AI at scale.| www.ibm.com
Artificial intelligence (AI) is technology that enables computers and machines to simulate human learning, comprehension, problem solving, decision-making, creativity and autonomy.| www.ibm.com
Natural language processing (NLP) is a subfield of artificial intelligence (AI) that uses machine learning to help computers communicate with human language.| www.ibm.com
Phishing attacks use fake emails, text messages, phone calls or websites to trick people into sharing sensitive data and downloading malware.| www.ibm.com
Multifactor authentication (MFA) verifies a user’s identity by requiring at least two forms of proof, such as a password, fingerprint or other biometric data.| www.ibm.com
Identity and access management (IAM) systems streamline access control, keep hackers out, and connect authorized users with the right resources.| www.ibm.com
In this essential guide, learn about how relational databases work and how they compare to other database options.| www.ibm.com
OLAP and OLTP are often confused for one another, so what are their key differences and how do you choose the right one for your situation?| www.ibm.com
Learn more about OLAP, a core component of data warehousing implementations to enable fast, flexible data analysis.| www.ibm.com
The future of customer service must be AI-based for organizations to improve the customer experience and increase customer loyalty.| www.ibm.com
AI hallucinations are when a large language model (LLM) perceives patterns or objects that are nonexistent, creating nonsensical or inaccurate outputs.| www.ibm.com
IBM data and analytics consulting services help you unleash the full potential of your data, so you can focus on launching your organization into the future with AI or agentic workforces.| www.ibm.com
Unsupervised learning, also known as unsupervised machine learning, uses machine learning (ML) algorithms to analyze and cluster unlabeled data sets.| www.ibm.com
