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Enforce pre-tool policies and generate JSONL audit logs for AI agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "AISentinel by BizDNAi" yet — see the docs or source repo.
Before the AI agent calls any external tool, enforce a policy check: block unauthorized tools and record each decision as a JSONL audit log.
A policy decision is returned, and each allowed or blocked call is written as a structured JSONL audit record.
Enable auditing for this AI agent session and output JSONL logs for each tool call in sequence for later review.
JSONL audit entries are produced in order, allowing teams to trace the agent’s tool usage.
Simulate an AI agent attempting to call a restricted tool, verify it is blocked before execution, and output the audit result.
The restricted call is shown as blocked before execution, with a corresponding JSONL audit entry.
Developers or platform teams can add policy checks before an AI agent invokes external tools, reducing unauthorized or risky actions. It fits agent workflows that need pre-execution control.
When teams need to trace which tools an AI agent used and when calls were allowed or blocked, JSONL audit logging provides a clear record. This helps with troubleshooting and policy review.
It is an MCP tool that enforces policy checks before an AI agent uses a tool and produces JSONL audit logs. It is released under Apache 2.0.
The provided information only confirms that it generates JSONL audit records for AI agent activity. For exact fields and log structure, see the source repository.
The available materials do not provide installation steps, runtime requirements, or key details. Please see the source repository for prerequisites.
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