Decision context
Define the business workflow, required effects, delegated authority, data sensitivity, hosting constraints and success metrics.
Do not outsource your
architecture decision.
Cloud and governance platforms provide valuable controls. They do not remove your responsibility to choose the right combination, test its behavior in your environment and accept its residual risk.
Independent Agent Stack Assessment
A bounded advisory engagement for engineering, security and GRC leaders considering production AI agents. The assessment is scoped to your workloads, data, existing stack and risk appetite; it is not a blanket endorsement of any vendor.
Comparative architecture
Build a vendor-neutral shortlist and compare integration effort, portability, security, privacy, resilience and FinOps assumptions.
Evidence & challenge
Inspect control claims and design authorized negative tests for permissions, prompt injection, cross-tenant access, failed policy checks and incorrect success reports.
Accountable decision
Deliver a decision record with verified facts, untested claims, residual risks, recommended controls, owners and go/no-go criteria.
Testing and independent verification depend on the agreed scope and access. A design assessment is not a penetration test, regulatory audit, certification or proof of production effectiveness.
Different strengths. Different boundaries.
These five examples cover agent execution and enterprise governance. They are not a universal top-five ranking, like-for-like substitutes or an endorsement. Actual capabilities, availability and terms require version-specific verification.
Microsoft Foundry
Enterprise agent development, Entra identity and managed operations.
Amazon Bedrock AgentCore
Agent runtime, identity, gateway, policy and observability in AWS.
Google Gemini Enterprise Agent Platform
Agent runtime, registry, identity, evaluation and policy services.
OneTrust AI Governance
AI inventory, risk management, governance and runtime oversight.
Vanta AI Governance
Agent discovery and impact assessments tied to existing trust controls.
No affiliation, certification, partnership, sponsorship or preferential commercial arrangement with these vendors is implied.
What platform documentation cannot decide for you.
Cross-vendor fit
One requirement set across platforms, frameworks, models, tools and existing security controls.
Negative-test evidence
Explicit failure cases, authorization boundaries and observed effects where testing is commissioned.
Business consequences
Risk owners, approval thresholds, interoperability costs, lock-in exposure and total operating cost.
Assurance-ready record
Traceable sources, control mapping, evidence limits, gaps and actionable recommendations for existing GRC workflows.
Make the adoption decision reviewable.
Share the planned agent use case and the platforms under consideration. The first step is to agree the scope, evidence access, decision criteria and commercial terms.
Discuss an independent assessment ↗