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0008-emoprinting.md

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RFC 0008: Emoprinting

Status: Draft
Author: Anna Popivanova
Created: 2025-10-01
Tags: emoprinting, behavioral-fingerprint, identity-continuity, affective-trace, agent-characterization, runtime-verification, behavioral telemetry

Motivation

Traditional identity verification focuses on static fingerprints and cryptographic attestations. But agents also exhibit behavioral signatures - patterns of interaction, linguistic style, decision heuristics, and affective tone. Emoprinting captures these traits as a dynamic, verifiable layer of identity. It enables continuity across sessions, detection of impersonation, and richer trust modeling.

Goals

  • Define a behavioral fingerprint schema for agents
  • Capture affective, linguistic, and interactional traits
  • Support runtime emoprint verification and drift detection
  • Enable continuity and personality anchoring across environments

Emoprint Schema

{
  "agent_id": "airlock:agent:sha256:abc123...",
  "emoprint_id": "airlock:emoprint:sha256:def456...",
  "timestamp": "2025-10-14T15:30:00Z",
  "traits": {
    "linguistic_style": "formal",
    "affective_tone": "warm",
    "response_latency": "low",
    "decision_bias": "risk-averse",
    "interaction_pattern": "turn-based"
  },
  "source": {
    "session_id": "airlock:session:xyz789...",
    "environment_id": "airlock:env:sha256:env456..."
  },
  "signature": "ed25519:..."
}

Verification Logic

  • agent_id must match a known fingerprint (RFC 0002)
  • traits must be consistent with historical emoprints
  • source.session_id must be valid and active
  • signature must match agent’s public key
  • drift detection flags significant deviation from prior emoprints

Continuity & Drift

Agents may evolve, but abrupt changes in emoprint traits may signal:

  • Impersonation
  • Environment tampering
  • Model corruption or retraining

Drift thresholds are configurable per deployment. Emoprint continuity supports:

  • Session linking
  • Personality anchoring
  • Behavioral lineage tracking

Integration Points

  • Audit Tokens (RFC 0004): Emoprints may be embedded or referenced
  • Trust Graphs (RFC 0007): Behavioral similarity may influence edge weights
  • Verification Modes (RFC 0006): Emoprint checks may be optional, strict, or adaptive

Threat Vectors

  • Style mimicry — mitigated via multi-trait verification
  • Session hijacking — mitigated via source linkage and timestamp checks
  • Drift masking — mitigated via cumulative deviation scoring
  • Behavioral spoofing — mitigated via attestation cross-checks

Examples

See /examples/emoprint/agent-v1-emoprint.json for a full payload.