Independent Agent Assurance on Azure Local and Hybrid Cloud
Design independent agent assurance on Azure Local and hybrid cloud. Separate workload continuity from permission, bound local execution, and verify recovery after reconnection.
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Independent Agent Assurance on VMware Cloud Foundation 9.1.1
Apply independent agent assurance to VMware Cloud Foundation 9.1.1. Separate agent workloads from authorization, scoped execution, verification, and evidence.
The Architecture That Keeps AI From Authorizing Itself
Design an AI agent authorization architecture that separates proposals, policy, execution, and evidence, including indirect paths that can bypass approval.
The Agent Action Evidence Contract: What Every AI Action Must Record
Define a proposed agent action evidence contract that connects identity, approval, execution, independent observation, and recovery while preserving unresolved outcomes.
The Assurance Independence Model: Six Boundaries for Agentic AI
Apply the proposed Assurance Independence Model to six trust boundaries. Assess shared failures, require evidence, and use mandatory gates before expanding agent authority.
LLM as a Judge: Evaluation Is Not Authorization
Use LLM-as-a-Judge for scoped evaluation without confusing a favorable score with proof or permission. Keep authorization and outcome verification independent.
Who Audits the AI Auditor? Independent AI Assurance
Explore six dimensions of independent AI assurance, with controls that separate agent judgment, authorization, execution and evidence, plus a proposed benchmark.
The Enterprise Architect’s Guide to Surviving the AI Power War
Build an enterprise AI exit strategy with tested model substitution, retained authority, recoverable state, contract rights, and realistic transition costs.
Who Leads AI in 2029? Five Scenarios, Not One Prediction
Explore five scenarios for AI leadership in 2029, with evidence triggers, counterarguments and a practical method for testing enterprise platform commitments.
The Companies That Win No Matter Which AI Model Wins
See how NVIDIA, TSMC, cloud platforms and infrastructure suppliers benefit across AI models, and what their advantages mean for enterprise buying decisions.
AI Dark Horses: Who Could Change the Competitive Balance?
Assess AI dark horses including Thinking Machines, SSI, Mistral, World Labs and robotics labs, with evidence gates for enterprise pilots and supplier choices.
China’s AI Counteroffensive: Model Parity Under Silicon Constraints
Evaluate Chinese AI models for enterprise use. Compare Qwen, DeepSeek, Kimi, GLM, Seed and Huawei across capability, silicon constraints and deployment risk.