Submission
Can an evidence envelope be addressed without being attempted, dispatched, received, or accepted?
Blaze Balance Engine whitepaper · July 2026
AI can reason. Authority stays bounded.
A proof-first model for governing AI systems near sensitive workflows.
1. The gap
Policies describe intent. Logs describe history. Neither necessarily controls reachability.
AI systems increasingly sit beside APIs, databases, queues, credentials, and automation. The critical question is not only what the model recommends, but whether any action path is reachable, under what evidence, and with whose authority.
2. Product law
Look first. Prove restraint. Then earn authority.
Blaze lets teams evaluate evidence and recommendations before connecting customer systems or granting production capabilities.
Observe approved evidenceClassify deterministicallyGenerate reasoned receiptsKeep sensitive touch closedReplay independentlyGrant authority separately
3. Receipt-backed boundaries
Governance becomes inspectable when every boundary has explicit state.
Activation
Can an activation marker exist without a request, grant, dispatch, acceptance, or effect?
Effectiveness and observation
Can the system describe how evidence would be observed and verified without claiming that an effect occurred?
4. Deterministic trust
Claims should survive outside the vendor environment.
Blaze freezes canonical inputs, runs isolated replays, compares receipts and digests, and uses copy-isolation probes to expose hidden state. A sealed evaluator package is designed to run without vendor infrastructure.
5. Enterprise shadow pilots
Useful evaluation can begin before live integration.
A shadow pilot uses sanitized, pseudonymous fixtures to evaluate allow, deny, hold, and escalate outcomes. It does not require live traffic, customer data, production writes, decision blocking, or autonomous action.
6. What Blaze is not
Blaze is not a legal guarantee, a model, a connector marketplace, or an autonomous execution engine.
It is governance infrastructure. Customer implementations still require security review, privacy review, legal analysis, operational design, and explicit authority decisions.
Current posture
The public evidence lane remains closed to external effect.
As of the v793 public checkpoint, the independent observation protocol and evaluator-defined workload intake have passed deterministic two-run audits. No policy has been jointly agreed or frozen, no evaluator workload has been submitted or accepted, and no run has been authorized or started. Live telemetry, customer writes, runtime authority, execution, external effects, and signature operations remain absent.