Tool governance
Control what AI agents can do with real systems.
DriftGard validates every tool call before execution: model ID, tool name, parameters, agent identity, user context, jurisdiction, chain depth, cost, and data sensitivity.
Example: transfer_money
A tool call is only safe when the context is safe too.
AmountReject values above role or customer limits.
RecipientBlock self-transfers and unknown accounts.
Agent roleAllow only approved agents to call payment tools.
JurisdictionApply local policy before execution.
Zero-trust controls
Tool access should be earned on every call.
Static API keys are not enough when agents can make autonomous decisions. DriftGard adds business context and policy checks to the action boundary.
01
Allowlists
Define which models, agents, users, roles, and workflows may call each tool.
02
Parameter rules
Enforce type, range, regex, custom expressions, and cross-parameter checks.
03
Action limits
Stop runaway loops with cost thresholds, chain-depth controls, and high-risk escalation.
Runtime flow
Govern tools without rebuilding your agent stack.
LangChain / OpenAI / Custom agent->DriftGard tool check->Tool executes or blocks
Make tool access governable.
Start with your highest-risk tool call and prove the policy path end to end.
Run a Pilot Audit