Tivoli Network Manager IP Edition provides detailed network discovery, device monitoring, topology visualization, and root cause analysis (RCA) capabilities.
Centralize, simplify and automate encryption key management
Deploy and customize flash-backed iSCSI block storage from 25 GB to 12,000 GB capacity with up to 48,000 IOPS. Increase storage capacity or adjust your performance on the fly to quickly adjust to changes in workload demands
Build and deploy clusters within minutes with simplified user experience, scalability, and reliability. Custom configure the environment. Administer through multiple interfaces. Scale on demand.
IBM Lift makes it easy to quickly, securely and reliably migrate your database from on-premises data centers to an IBM Cloud data property. It enables secure and rapid migration to the cloud with zero downtime.
IBM Guardium Data Security Posture Management (DSPM is a comprehensive solution designed to help organizations discover, classify, and secure sensitive data across cloud and SaaS environments. By leveraging advanced AI-powered data discovery and classification, DSPM enables businesses to identify and protect their data assets efficiently, mitigating risks associated with data sprawl, unauthorized access, and compliance violations. Its agentless deployment ensures rapid implementation without the need for prior knowledge of data locations or credentials. Key Features and Functionality: - Automated AI-Powered Data Discovery and Classification: Continuously identifies sensitive data across cloud environments, including hidden "shadow data," without requiring prior knowledge of data locations or passwords. - Risk and Vulnerability Mitigation: Proactively detects and prevents data leakage between accounts and environments, identifies and remediates exposed secrets, and offers ransomware vulnerability detection through data flow analysis and access intelligence. - Third-Party Data Access Monitoring: Provides comprehensive visibility into third-party data access, streamlining vendor assessments, detecting anomalies, and assessing potential impacts of data breaches to ensure compliance and protect against unauthorized access. - Compliance and Privacy Assurance: Ensures adherence to regulatory requirements concerning data privacy by continuously monitoring data access, enforcing security policies, and generating audit reports, thereby reducing the risk of costly data breaches and protecting brand reputation. Primary Value and Problem Solved: IBM Guardium DSPM addresses the challenges posed by increasing data volumes and dispersion in modern cloud and SaaS environments. By automating the discovery and classification of sensitive data, it reduces the risk of data leaks, breaches, and unauthorized access. The solution enhances compliance with data privacy regulations, optimizes resource utilization, and strengthens overall data security posture, enabling organizations to protect their sensitive information effectively and maintain trust with stakeholders.
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Helps financial institutions detect and prevent malware infections and phishing attacks, maximizing protection for their customers.
Deep learning frameworks such as TensorFlow, PyTorch, Caffe, Torch, Theano, and MXNet have contributed to the popularity of deep learning by reducing the effort and skills needed to design, train, and use deep learning models. Fabric for Deep Learning (FfDL, pronounced “fiddle”) provides a consistent way to run these deep-learning frameworks as a service on Kubernetes.
The software offers powerful AI-driven predictive maintenance capabilities that can significantly reduce downtime and enhance asset performance. However, the implementation process can be complex and comes with high costs.
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