RIGHT FIT
Take it before your agent acts on real data.
- Your agent can send, write, delete or pay
- It reads untrusted content: emails, documents, web pages
- Nobody has listed what it can actually do
The Agent Permission Map is a $79 guided product for teams whose AI agent can take actions: write data, send messages, call APIs or move money. In four steps you list every tool, rank its impact, test misuse safely and decide a control for each action.
No code access neededAbout 90 minutesClear-outcome guarantee
The product
It’s a guided review of what your AI agent is allowed to do, before an injected instruction or a loop does it for you. You inventory its tools and data, rank each by impact, test misuse on staging, and choose a control for every action.
An honest boundary
Teams shipping an AI agent or assistant that calls tools: database writes, emails or SMS, payments, file access, browsing, code execution or MCP servers. You need access to the agent’s code and configuration and a staging environment.
RIGHT FIT
NOT THIS PRODUCT
How it works
Four steps in about 90 minutes. Inventory every tool and data source, classify each by impact and autonomy, test prompt injection and tool misuse on staging, then build the map with a decision and control for every action.
Every action, data source, trigger and credential the agent uses.
Read, reversible write, irreversible, external message, money or data leaving.
Prompt injection, tool misuse, loops and cross-user access, on staging only.
Allow, allow with limits, require approval, or remove, per action.
Exact output
An Agent Permission Map: every tool and data source with its credential, impact level, autonomy and misuse test result, and a decision (allow, allow with limits, require approval, or remove) plus the control to put in place for each.
Every action with impact, autonomy and a decision.
Injection, tool misuse and loop tests you can rerun.
Scopes, approval gates, limits, allow-lists and logging to add.
A completed map for a fictional agent.
After the product
The map tells you what to control. The Production-Safe Agent Sprint ($149) walks you through putting the controls in place, adding tracing and evals, and running failure drills. For an engineer review or implementation, start from your map with our Agentic AI team.
Low risk
You get your $79 back. Complete all four steps. If you don’t end with a map that has a decision for every action your agent can take, send your workbook within 30 days of purchase and we’ll refund you in full.
Complete the four steps and send the workbook within 30 days. If you don’t have a map with a decision for every action, we refund the full $79.
Reply to any email from us with the step number. A Zenveus engineer answers within 1–2 hours during business hours. Steps only, not a code review.
If you later want Zenveus to do the work, the conversation starts from your output instead of from zero.
Straight answers
No. Misuse tests run on staging with test data and test credentials only.
Any agent that calls tools: custom code, OpenAI or Anthropic tool use, LangChain-style frameworks, MCP servers and builder-made agents.
No. It’s a structured self-review of agent permissions. Specialist security work is separate.
Yes. Complete all four steps; if your map doesn’t have a decision for every action, send the workbook within 30 days for a full $79 refund.
The next decision
Four steps, every tool, one decision each.
Covered by the clear-outcome guarantee: complete the four steps, and if your map isn’t complete, get your $79 back within 30 days.
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