DayBlink Consulting Partner and Cyber Security Practice Lead Michael Morgenstern contributed to Cloud Security Alliance’s “Dynamic Process Landscape: A Strategic Guide to Successful AI Implementation.”
From the Cloud Security Alliance: “Artificial Intelligence (AI) adoption in business and manufacturing is failing at least twice as often as it succeeds. Companies are trying to integrate AI into outdated process structures that lack transparency, adaptability, and real-time data integration. Without a clear understanding of business processes, data flow, and regulatory requirements, automation efforts lead to fragmentation, inefficiencies, and compliance risks.
- How to establish process transparency. AI-driven automation is only as good as the processes it supports.
- How to integrate data management into business processes. Without proper data governance, AI agent decisions can be unreliable, non-compliant, or even detrimental.
- The drawbacks of traditional process management frameworks. These frameworks present significant limitations when integrating AI-driven automation into modern, data-intensive workflows.
- How to implement the Dynamic Process Landscape. The DPL framework allows businesses to prioritize and adapt processes dynamically based on data and operational needs, ensuring resilience in fast-changing environments.”
Download the guide here: https://cloudsecurityalliance.org/artifacts/dynamic-process-landscape-a-strategic-guide-to-successful-ai-implementation#