ABSTRACT
As AI agents transition from advisory to executive roles in production systems, the gap between probabilistic inference and deterministic execution creates a critical governance void. EAAP proposes a four-layer control plane that evaluates every proposed agent action through ledger governance, semantic retrieval, policy evaluation, and cryptographic execution gating — ensuring that no autonomous action modifies production state without verified admissibility.
Architecture Overview
The Four Layers
Purpose: Enforce ledger integrity
PII scrubbing via deterministic pattern detection, encryption at rest, semantic indexing, conflict detection, confidence scoring, fact locking, and audit event logging.
Purpose: Assemble bounded, deterministic context
Namespace isolation, deterministic relevance scoring, temporal decay weighting, conflict surfacing, context health classification, snapshot generation, and HMAC snapshot signing.
Purpose: Deterministic admissibility evaluation
Authority validation, fact consistency enforcement, constraint evaluation, confidence threshold enforcement, and escalation classification.
Purpose: Guarantee execution integrity
Claim extraction from payload, pre-flight conflict detection, SHA-256 state hashing, evaluation record creation, commit validation, and immutable action ledger.
“Inference is probabilistic. Execution must be deterministic.”
— EAAP Core Principle
Evaluation Protocol
state_hash = SHA-256(
sorted(relevant_objects) ||
policy_version ||
namespace_id ||
floor(timestamp, window)
)Protocol Invariants
Mandatory and non-configurable. These cannot be weakened without a major version change.
Specification Details
Full Specification
Read the complete EAAP specification with threat model, evaluation protocol, commit guarantees, and security invariants.
