Security

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AI/ML Workloads

Applications based on machine learning and deep learning, using structured and unstructured data as the fuel to drive these applications.

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Red Hat's AI/ML Platforms & Developer Tools

Red Hat provides AI/ML across its products and platforms, giving developers a portfolio of enterprise-class AI/ML solutions to deploy AI-enabled applications in any environment, increase efficiency, and accelerate time-to-value.

Red Hat Trusted Application Pipeline
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Red Hat Trusted Application Pipeline

Catch vulnerabilities early with a self-serve developer experience imbued with the organization’s security practices, for distributed teams to comply with security and compliance requirements. Development teams leverage solution templates with integrated security checks to standardize and expedite security-focused golden paths with Red Hat Trusted Application Pipeline. Remove toil in finding and fixing vulnerabilities early. Increase security posture in the CI/CD pipeline with an automated chain of trust that verifies compliance are met.

Red Hat Trusted Profile Analyzer
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Red Hat Trusted Profile Analyzer

Use your software assets with confidence. Curate your trusted content by eliminating vulnerabilities early during development, that reduces security risks and costly rework in production.

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Article

How to visualize your OpenSCAP compliance reports

Juerg Ritter

Get an introduction to SCAPinoculars, a tool that helps you to visualize OpenSCAP reports, and the advantages it brings when used with the OpenShift Compliance Operator.

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Article

Security policies in open source software

Siddhesh Poyarekar

Explore the motivation behind the GNU toolchain project's new security policies and why more open source communities should adopt policies for their projects.

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Red Hat Developers

Join Red Hat Developer for the software and tutorials to develop cloud applications using Kubernetes, microservices, serverless and Linux.