SentinelGate is an in-memory firewall for autonomous AI agents. It is built to halt adversarial injections and tool hijacks at Token 0, evaluating prompt kinematics in memory with sub-millisecond overhead before execution and before token spend. Every action is sealed with tamper-evident Ed25519 evidence bags designed for ISO 20022 financial rails, and it installs with pip install sentinelgate.
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Evaluate the prompt in memory before the model spends tokens on it.
Record each action in an Ed25519-signed evidence bag.
Use attestation bags shaped for ISO 20022 supplementary data.
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