Free field guide / 2026
Can you prove what your AI was allowed to do before it acted?
A practical, self-scoring review for teams giving AI agents access to real tools, customer data, code, communications, payments, and production systems.
Delivered immediately. No sales call required.
AI governance & agent security
Readiness Assessment
A 32-control review for teams moving agents into operational environments.
What you’ll assess
The authority behind every agent action.
- 01
Ownership and governance
- 02
Agent identity and access
- 03
Tool and action authority
- 04
Data, memory, and tenant boundaries
- 05
Human approval gates
- 06
Monitoring, audit evidence, and incident response
- 07
Third-party model, tool, and vendor risk
- 08
Lifecycle controls and continuous assurance
Who it’s for
CTOs and AI platform leaders
Establish the controls that let useful agent work move beyond a prototype.
CISOs and security teams
See where access, tool use, and evidence need a more reliable boundary.
Compliance, risk, and governance leaders
Create a practical view of operational authority before it becomes a policy exception.
Teams moving agents into real operations
Assess the shift from model experiments to actions that affect customers and systems.
Why this matters
A prompt is not an authority system.
Prompts and output filters help guide language. They do not reliably determine what an agent can retrieve, call, change, approve, or send once it is connected to real systems.
The assessment helps your team identify where operational authority remains unclear—and which controls can make it visible and enforceable. Tandem places policy between AI agents and the tools, data, memory, and actions they use.
The model proposes. The runtime enforces.
Get the free assessment
Start with the essentials. We’ll ask a few optional context questions next.