Founder & CEO, WeDoCareGlobal
Shipped: Security / Control surface 01
AgentGuard enforces explicit boundaries before capability: every agent tool call is evaluated against strict policies (role, resource scope, and rate limits) with default-deny behavior and human-in-the-loop approvals. Every decision is recorded into a hash-linked, tamper-evident audit chain. Built for AI engineers and teams deploying autonomous agents that interact with sensitive files, APIs, and enterprise systems.
Key metric: 100% of unauthorized or out-of-boundary tool calls blocked and immutably logged prior to execution.
SecurityAgentsAI GovernanceTool Calling






Comments2
The tamper-proof record of every agent decision may sell to compliance teams faster than to the AI engineers you named.
Great point, Ryan — appreciate that perspective. We initially approached AgentGuard from the engineering side: enforcing boundaries before agents execute sensitive tool calls. But I agree that the tamper-evident audit trail could be just as valuable to compliance, security, and risk teams. The bigger opportunity may be connecting technical enforcement with verifiable evidence for enterprise AI governance. We're working toward making both sides practical and demonstrable. Curious — are you seeing more demand for this from compliance leaders or from engineering teams deploying agents into production?
2 comments
The tamper-proof record of every agent decision may sell to compliance teams faster than to the AI engineers you named.
Great point, Ryan — appreciate that perspective. We initially approached AgentGuard from the engineering side: enforcing boundaries before agents execute sensitive tool calls. But I agree that the tamper-evident audit trail could be just as valuable to compliance, security, and risk teams. The bigger opportunity may be connecting technical enforcement with verifiable evidence for enterprise AI governance. We're working toward making both sides practical and demonstrable. Curious — are you seeing more demand for this from compliance leaders or from engineering teams deploying agents into production?