Embedding Security into AI Workflows
AI-powered workflows are becoming increasingly important in the software development lifecycle, with orchestrated pipelines handling more than just code generation.
According to Randall Degges, head of developer relations & community at Snyk, AI models and services are integral to modern dev workflows, but they also introduce a new threat that is dynamic, often opaque, and under-guarded.
AI development offers speed and scale – two tempting benefits that come with serious trade-offs.
The latest trends in software development highlight the need for developer-centric security in AI pipelines.
Author's summary: AI workflows require embedded security measures.
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