Remove platform pipeline-management
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How to become an AI+ enterprise

IBM Big Data Hub

Security, governance, risk and compliance mechanisms are essential not only for governing AI but also for managing the IT estate running AI, providing evidence for regulatory compliance. Hybrid cloud platform Once AI, data and applications are understood, the discussion naturally shifts to “Where do we run this solution?”

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CI/CD Pipeline is Major Software Supply Chain Risk: Black Hat Researchers

eSecurity Planet

Continuous integration and development (CI/CD) pipelines are the most dangerous potential attack surface of the software supply chain , according to NCC researchers. A CI/CD pipeline is fundamentally remote code execution (RCE), and there are many paths to compromise it regardless of a company’s size.

Risk 138
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GitLab Patches Critical RCE in Community and Enterprise Editions

eSecurity Planet

The widely-used DevOps platform GitLab has released critical security updates for its Community Edition (CE) and Enterprise Edition (EE). GitLab is a hugely popular open core platform, with 30 million registered users. It allows dev teams to host and manage Git repositories remotely. before 15.1.5 all versions starting from 15.2

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VulnRecap 2/5/24 – Azure, Apple, Ivanti, & Mastodon at Risk

eSecurity Planet

Critical multi-platform vulnerabilities impacting diverse systems dominated the past week’s cybersecurity headlines. A coding vulnerability in Microsoft’s Azure Pipelines affected 70,000 open-source projects. Vendor risk management and collaboration within the industry further enhance your system’s resiliency.

Risk 96
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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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Ensuring data reliability for AI-driven success: The critical role of data engineers

Collibra

Their role encompasses designing data pipelines, ensuring data quality, and optimizing data processing systems for efficiency and scalability. Strategies for Ensuring Data Quality for AI: There are many challenges when enabling data quality, from scalable and manageable rule writing, to the ability to catch unknown-unknowns.

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Accelerate release lifecycle with pathway to deploy: Part 2

IBM Big Data Hub

Stage 1: Development automation Infrastructure automation (IaC) and pipeline automation are self-contained within the development team, which makes automation a great place to start. Overall Cloud Capability Centre (CCC), or the equivalent core team, plays a significant role in driving change with application and platform teams.

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