Tag: Responsible AI
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Vertex AI Responsible AI, Governance, and Audit Logging (Google Cloud Gen AI Series, Part 27)
Data Access audit logs, SynthID provenance, Model Registry, and Access Transparency, wired into a governance baseline for a Gemini workload on Vertex AI. What is on by default, what you have to switch on, and what it costs.
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Azure Responsible AI, the RAI Dashboard and Scorecard (Azure Gen AI Series, Part 27)
Responsible AI on Azure is two toolchains: the Responsible AI dashboard for tabular models and Foundry safety evaluators for generative apps. Here is which one your workload needs, how to run each, and how to keep a scorecard for the EU AI Act.
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Azure AI Content Safety, Prompt Shields to Groundedness (Azure Gen AI Series, Part 14)
Azure AI Content Safety scans prompts and responses for harm, jailbreaks, hallucinations, and copied material. Which API catches what, how the 0 to 7 severity scale drives a block decision, and where each check belongs in a request.
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Responsible AI and Watermark Detection on Amazon Bedrock (AWS Gen AI Series, Part 27)
A practical walk through responsible AI on AWS: the eight dimensions AWS documents, invisible watermarking on Titan and Nova, the DetectGeneratedContent API, and bias checks with SageMaker Clarify.
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Amazon Bedrock Guardrails, Content Filters, and Grounding Checks (AWS Gen AI Series, Part 14)
Amazon Bedrock Guardrails inspects text into and out of a model across six policies. Where each fits, how to call it inline and standalone, what it costs, and where it trips you in production.
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Guardrails and Responsible AI: What They Catch, and What They Miss (GenAI Series, Part 21)
Guardrails screen what goes into and out of an AI model. What they catch, harmful content, jailbreaks, prompt injection, data leaks, and why safety must be layered, not a single filter.
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Guardrails and Responsible AI on VMware Private AI: What NeMo Guardrails Actually Stops (Private AI Series, Part 28)
Private does not mean safe. Here is how NeMo Guardrails wraps your models on VMware Private AI, the five rail types, and an honest line on what guardrails catch and what they do not.
Architect’s Toolkit
PJ’s Tools
VMware Cloud Foundation
- VCF Documentation
- VCF 9 Planning & Preparation Workbook
- VCF Bill of Materials (BoM)
- VMware Compatibility Guide
- VMware Interoperability Matrix
- VMware Configuration Maximums
- VMware Ports & Protocols
- VMware Hands-on Labs
- RVTools Download
Nutanix
AI & Cloud-Native Platform
- NVIDIA Build (Model Catalog)
- NVIDIA AI Enterprise Reference Architecture
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- NVIDIA NGC Catalog
- NeMo Microservices Helm Chart
- Helm Charts Repository
- Hugging Face Models
Architecture & Design
About the Author
Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
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