SEB: The Runtime Gate That Turns AI Agents Into Auditable Weapons

In the year of our algorithm, we’ve finally built the thing that should have existed from the start: a runtime enforcement boundary that treats AI agents like the unpredictable, non-deterministic weapons they are. The Sovereign Execution Broker (SEB) is a three-phase gate—proposal, admission, execution—that transforms certified authority into a short-lived, revocable, auditable capability. This is effectively the cryptographic equivalent of a medieval portcullis: it doesn’t stop the siege, but it controls exactly when and how the drawbridge drops.

The core insight is brutal in its simplicity: existing access-control mechanisms either authorize identities or certify proposed actions, but neither provides a mandatory enforcement point at the moment of mutation. As the paper states, “production mutation authority should not reside inside non-deterministic reasoning processes” of autonomous agents. SEB fills this gap by consuming certificates issued by a Sovereign Assurance Boundary (SAB), verifying that the requested mutation matches the certified execution contract, and checking a set of dynamic conditions: validity windows, policy epochs, revocation epochs, and live-state drift. Only after these checks pass does SEB mint a scoped execution identity and invoke infrastructure APIs.

This design has direct parallels to blockchain-based smart contract execution, where transaction proposal, validation, and execution are separated. For crypto-AI systems, SEB provides a template for how on-chain or TEE-enforced AI agents could be granted scoped, revocable authority to mutate on-chain state. The broker acts as a mandatory gate that prevents an LLM’s non-deterministic output from directly calling production APIs or smart contract functions.

The SEB framework includes an execution model, certificate and replay-verification predicates, scoped identity semantics, bypass-prevention deployment patterns, and failure behavior. Crucially, it records signed decision and outcome records for every mutation, creating an auditable trail that can be verified on-chain. This enables disputable execution where any party can challenge a broker’s decision by verifying the signed record against on-chain policy.

The prototype was evaluated on AWS and Kubernetes clusters, measuring latency overheads, revocation propagation, drift detection, and security under fault injection. For crypto applications, the latency overhead of SEB-style enforcement is critical for determining whether such a broker could sit between an AI agent and a blockchain RPC endpoint without exceeding block times. If SEB’s overhead is sub-second, it could feasibly gate agent-to-contract calls in L2 environments where block times are 1–2 seconds.

The bypass-prevention deployment patterns ensure that production mutation APIs reject non-broker identities. In crypto terms, this is equivalent to requiring that smart contract functions be callable only through a specific proxy or relayer that enforces the SEB’s certified authority—analogous to how many DeFi protocols use access-controlled relayers or keeper networks. For on-chain AI agents, this means the agent’s wallet key would not directly sign transactions; instead, the SEB would hold the signing key and only use it after verifying the certified execution contract.

The yield on this architecture is trust: you’re short-selling the agent’s autonomy and buying a futures contract on auditability. The market just priced in a new risk premium on non-deterministic execution.