AI Guardrails at Financial Institutions: Can You Show the Control Ran?
Many institutions write AI guardrails as system prompt instructions. Why that falls short in an exam, and what a control an examiner can rely on looks like.
Author
Cassio Melo
Co-Founder
Cassio is the co-founder of Meilynx, where he's building governance and cost observability for AI workloads in regulated environments. He holds a PhD in Computer Science and spent four-plus years at Google as a Staff Software Engineer and Tech Lead Manager, most recently leading the Cloud Capacity Management Safety team — keeping Google's infrastructure reliable and efficient at global scale.
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