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Pipeline output: - ABVP: Agent Behavior Verification Protocol (quality 3.0/5) - AEM: Privacy-Preserving Agent Learning Protocol (quality 2.1/5) - ATD: Agent Task DAG Framework (quality 2.5/5) - HITL: Human-in-the-Loop Primitives (quality 2.4/5) - AEPB: Real-Time Agent Rollback Protocol (quality 2.5/5) - APAE: Agent Provenance Assurance Ecosystem (quality 2.5/5) Quality gates: all pass novelty + references, format gate improved with markdown stripping (_strip_markdown) and dynamic header padding. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Internet-Draft lake
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Intended status: standards-track March 2026
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Expires: September 05, 2026
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Agent Behavior Verification Protocol (ABVP)
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draft-ai-agent-behavior-verification-protocol-00
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Abstract
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Autonomous AI agents operate with increasing independence across
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network environments, making it critical to verify that their
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actual behavior matches expected policies and constraints.
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Existing approaches focus primarily on identity verification or
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single-point attestation, leaving gaps in continuous behavior
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monitoring and cross-protocol verification. This document defines
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the Agent Behavior Verification Protocol (ABVP), which provides
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standardized mechanisms for capturing, validating, and attesting
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to agent behavior patterns in real-time. ABVP enables continuous
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trustworthiness assessment through cryptographic behavior proofs,
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supports multi-vendor attestation environments, and integrates
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with existing authorization frameworks. The protocol addresses the
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fundamental challenge of moving from 'who is this agent?' to 'is
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this agent behaving as expected?' across diverse operational
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contexts. ABVP complements existing agent authentication and
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authorization protocols by providing the missing behavior
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verification layer essential for autonomous agent deployment at
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scale.
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Status of This Memo
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This Internet-Draft is submitted in full conformance with the
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provisions of BCP 78 and BCP 79.
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This document is intended to have standards-track status.
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Distribution of this memo is unlimited.
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Terminology
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The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL
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NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "NOT RECOMMENDED",
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"MAY", and "OPTIONAL" in this document are to be interpreted as
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||||
described in BCP 14 [RFC2119] [RFC8174] when, and only when, they
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appear in all capitals, as shown here.
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Behavior Attestation
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A cryptographically signed assertion about an agent's observed
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behavior patterns over a specified time period
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Verification Proof
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Cryptographic evidence that demonstrates an agent's compliance
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with specified behavioral constraints
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Behavior Trace
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A structured record of agent actions, decisions, and reasoning
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processes that can be cryptographically verified
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Trust Anchor
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A root source of trust for behavior verification, typically
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backed by hardware attestation or multi-party consensus
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Behavior Policy
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A formal specification of expected agent behavior patterns and
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constraints
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Verification Registry
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A distributed system for storing and validating behavior
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attestations and verification proofs
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Table of Contents
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1. Introduction ................................................ 3
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2. Terminology ................................................. 4
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3. Problem Statement ........................................... 5
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4. ABVP Architecture and Components ............................ 6
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5. Behavior Capture and Attestation Mechanisms ................. 7
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6. Protocol Integration and Bindings ........................... 8
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7. Verification Workflows and Enforcement ...................... 9
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8. Security Considerations ..................................... 10
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9. IANA Considerations ......................................... 11
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10. References .................................................. 12
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1. Introduction
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The proliferation of autonomous AI agents across network
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environments has introduced a fundamental challenge in distributed
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systems: verifying that agents behave according to their intended
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design and declared policies throughout their operational
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lifecycle. Traditional authentication and authorization
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mechanisms, as defined in frameworks like OAuth 2.0 [RFC6749] and
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established in agent-specific protocols [draft-aylward-aiga-1],
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primarily focus on identity verification and initial access
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control decisions. However, these approaches are insufficient for
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autonomous agents that operate independently over extended
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periods, modify their behavior based on learning, and interact
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across multiple administrative domains without continuous human
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oversight.
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|
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Current verification approaches leave critical gaps in ongoing
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behavioral assurance. While existing protocols can answer "who is
|
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this agent?" through identity attestation, they cannot adequately
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address "is this agent behaving as expected?" during operation.
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This limitation becomes particularly problematic when agents
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exhibit Dynamic Behavior Authentication requirements, where the
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agent's behavioral patterns change over time based on learning
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algorithms, environmental adaptation, or policy updates. The
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absence of standardized Behavioral Trustworthiness Assessment
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mechanisms means that authorization decisions cannot incorporate
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an agent's actual behavioral history, leading to either overly
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restrictive policies that limit legitimate agent autonomy or
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overly permissive policies that create security risks.
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|
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The Agent Behavior Verification Protocol (ABVP) addresses these
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limitations by providing a standardized framework for Continuous
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Trustworthiness Verification that extends beyond initial
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authentication to ongoing behavioral validation. ABVP complements
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existing agent authentication protocols by introducing behavior
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attestation mechanisms that capture, verify, and attest to agent
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behavior patterns using cryptographic proofs. The protocol
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leverages hardware-backed attestation capabilities, similar to
|
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those used in verifiable agent conversations [draft-birkholz-
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verifiable-agent-conversations], while extending the verification
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scope from message integrity to comprehensive behavior pattern
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validation.
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ABVP integrates with existing authorization frameworks by
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providing behavior verification inputs that enhance access control
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decisions. Rather than replacing current agent protocols, ABVP
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serves as a behavior verification layer that can be bound to
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existing communication protocols and authorization systems. The
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protocol enables verification registries to maintain distributed
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records of agent behavior attestations, allowing multiple parties
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to contribute to and benefit from behavioral trustworthiness
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assessments. This approach supports multi-vendor environments
|
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where agents from different providers must demonstrate behavioral
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compliance to shared policies and constraints.
|
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|
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The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL
|
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NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "NOT RECOMMENDED",
|
||||
"MAY", and "OPTIONAL" in this document are to be interpreted as
|
||||
described in BCP 14 [RFC2119] [RFC8174] when, and only when, they
|
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appear in all capitals, as shown here. This document assumes
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familiarity with cryptographic attestation concepts, JSON-based
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data structures [RFC8259], and existing agent protocol frameworks.
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|
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2. Terminology
|
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|
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This document uses terminology from several domains including
|
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cryptographic attestation, autonomous agent systems, and
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distributed verification protocols. The key words "MUST", "MUST
|
||||
NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT",
|
||||
"RECOMMENDED", "NOT RECOMMENDED", "MAY", and "OPTIONAL" in this
|
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document are to be interpreted as described in BCP 14 [RFC2119]
|
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[RFC8174] when, and only when, they appear in all capitals, as
|
||||
shown here.
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**Agent**: An autonomous software entity that operates
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independently to achieve specified goals, potentially across
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multiple network environments and administrative domains. Agents
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may modify their behavior over time through learning,
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adaptation, or policy updates as defined in [draft-aylward-
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aiga-1].
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|
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**Behavior Attestation**: A cryptographically signed assertion
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about an agent's observed behavior patterns over a specified
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time period. Behavior attestations provide verifiable evidence
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of agent actions, decisions, and compliance with established
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policies, extending the concept of verifiable agent
|
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conversations [draft-birkholz-verifiable-agent-conversations] to
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broader behavioral patterns.
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|
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**Behavior Policy**: A formal specification of expected agent
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behavior patterns and constraints, expressed as machine-readable
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rules that define acceptable and unacceptable agent actions.
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Behavior policies serve as the normative baseline against which
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agent behavior is measured and verified.
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|
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**Behavior Trace**: A structured, chronologically ordered record
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of agent actions, decisions, and reasoning processes that can be
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cryptographically verified for integrity and authenticity.
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Behavior traces form the evidentiary foundation for behavior
|
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attestations and MUST be tamper-evident through cryptographic
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linking as specified in [RFC9052].
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|
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**Trust Anchor**: A root source of trust for behavior
|
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verification, typically backed by hardware attestation
|
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mechanisms, trusted execution environments, or multi-party
|
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consensus protocols. Trust anchors provide the cryptographic
|
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foundation for establishing the authenticity and integrity of
|
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behavior attestations, similar to certificate authorities in PKI
|
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systems [RFC5280].
|
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|
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**Verification Proof**: Cryptographic evidence that demonstrates
|
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an agent's compliance with specified behavioral constraints,
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generated through zero-knowledge proofs, hash chains, or other
|
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cryptographic mechanisms. Verification proofs enable third
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parties to validate agent behavior without requiring access to
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sensitive operational details, supporting the cryptographic
|
||||
proof-based autonomy model [draft-berlinai-vera].
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|
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**Verification Registry**: A distributed system for storing,
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indexing, and validating behavior attestations and verification
|
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proofs. The registry provides a queryable interface for behavior
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||||
verification while maintaining appropriate privacy controls and
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access restrictions based on authorization frameworks such as
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OAuth 2.0 [RFC6749].
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|
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**Behavior Attestation Engine (BAE)**: A trusted component
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responsible for continuously monitoring agent behavior,
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generating behavior traces, and producing cryptographically
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signed behavior attestations. The BAE operates within a trusted
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execution environment or relies on hardware security modules to
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ensure the integrity of the attestation process.
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3. Problem Statement
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|
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Current agent verification systems primarily focus on establishing
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"who" an agent is through identity and capability attestation, but
|
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fail to address the fundamental question of "how" an agent behaves
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over time. Traditional approaches, as described in existing
|
||||
frameworks [RFC6749] and emerging agent protocols [draft-birkholz-
|
||||
verifiable-agent-conversations], concentrate on static
|
||||
verification points such as initial authentication, capability
|
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declarations, and single-point attestations. While these
|
||||
mechanisms successfully establish agent identity and initial
|
||||
trustworthiness, they create significant gaps in ongoing
|
||||
behavioral assurance as agents operate with increasing autonomy
|
||||
across distributed network environments.
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|
||||
The challenge becomes more acute when considering autonomous
|
||||
agents that inherently modify their behavior patterns based on
|
||||
environmental feedback, learning algorithms, or Real-Time Task
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Adaptability requirements [draft-cui-ai-agent-task]. Existing
|
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attestation systems, including advanced approaches like Multi-
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Vendor TEE Attestation (M-TACE) [draft-aylward-aiga-1], excel at
|
||||
verifying the integrity of agent code and initial state but cannot
|
||||
validate whether an agent's runtime behavior adheres to expected
|
||||
policies after deployment. This creates a verification gap where
|
||||
an agent may pass initial attestation checks while subsequently
|
||||
exhibiting behaviors that violate operational constraints,
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||||
security policies, or ethical guidelines without detection.
|
||||
|
||||
Furthermore, current verification approaches lack standardized
|
||||
mechanisms for continuous behavior monitoring across heterogeneous
|
||||
environments. Agent Reasoning Trace Capture techniques [draft-
|
||||
birkholz-verifiable-agent-conversations] provide valuable insights
|
||||
into decision-making processes but do not establish cryptographic
|
||||
proofs of behavioral compliance that can be verified by third
|
||||
parties. The absence of standardized Behavior Traces and
|
||||
Verification Proofs means that each deployment environment must
|
||||
develop proprietary monitoring solutions, leading to fragmented
|
||||
trust models and limited interoperability between agent
|
||||
ecosystems.
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||||
|
||||
The temporal dimension of agent behavior verification presents
|
||||
additional challenges that existing protocols do not adequately
|
||||
address. Static verification mechanisms cannot account for the
|
||||
dynamic nature of autonomous agents that adapt their strategies,
|
||||
modify their interaction patterns, or evolve their decision-making
|
||||
processes over operational lifetimes. Without continuous Behavior
|
||||
Attestation capabilities, network operators and service providers
|
||||
cannot maintain confidence in agent trustworthiness beyond initial
|
||||
deployment, creating significant risks for mission-critical
|
||||
applications and cross-organizational agent interactions.
|
||||
|
||||
Current authorization frameworks also lack integration points for
|
||||
ongoing behavioral verification, focusing instead on capability-
|
||||
based access control determined at authentication time. The
|
||||
absence of standardized Behavior Policy enforcement mechanisms
|
||||
means that agents operating within their assigned capabilities may
|
||||
still exhibit problematic behaviors that violate implicit
|
||||
operational expectations or emergent security requirements. This
|
||||
gap becomes particularly problematic in multi-tenant environments
|
||||
where agents from different organizations interact, requiring
|
||||
mutual assurance of behavioral compliance that extends beyond
|
||||
simple identity verification.
|
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|
||||
The scalability challenges of behavior verification compound these
|
||||
issues, as existing approaches do not provide efficient mechanisms
|
||||
for aggregating behavioral evidence across distributed deployments
|
||||
or enabling third-party verification of agent conduct. Without
|
||||
standardized Verification Registry systems and Trust Anchor
|
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mechanisms, each verification attempt requires independent
|
||||
evidence collection and validation, creating computational and
|
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administrative overhead that limits practical deployment of
|
||||
comprehensive behavior monitoring in large-scale autonomous agent
|
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environments.
|
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|
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4. ABVP Architecture and Components
|
||||
|
||||
The Agent Behavior Verification Protocol (ABVP) architecture
|
||||
consists of three primary components that work together to provide
|
||||
continuous behavior verification for autonomous AI agents. These
|
||||
components establish a comprehensive framework for capturing,
|
||||
validating, and attesting to agent behavior patterns in real-time
|
||||
across diverse operational environments. The architecture is
|
||||
designed to be vendor-neutral, protocol-agnostic, and compatible
|
||||
with existing agent authentication and authorization frameworks as
|
||||
defined in [RFC6749] and referenced in [draft-aylward-aiga-1].
|
||||
|
||||
The Behavior Attestation Engine (BAE) serves as the core component
|
||||
responsible for capturing agent behavior traces and generating
|
||||
cryptographic attestations. Each BAE MUST maintain a secure
|
||||
execution environment that continuously monitors agent actions,
|
||||
decisions, and reasoning processes without interfering with agent
|
||||
operation. The BAE generates behavior traces using structured
|
||||
formats based on [RFC8259] and creates cryptographically signed
|
||||
attestations using mechanisms defined in [RFC9052]. These
|
||||
attestations follow the Five Enforcement Pillars with Typed
|
||||
Schemas pattern, providing comprehensive coverage across
|
||||
authorization enforcement, data handling compliance, operational
|
||||
boundary adherence, communication protocol compliance, and
|
||||
resource utilization monitoring. The BAE SHOULD integrate with
|
||||
hardware-based Trusted Execution Environments (TEEs) when
|
||||
available to provide additional attestation integrity guarantees
|
||||
as specified in existing RATS frameworks.
|
||||
|
||||
Verification Registries provide distributed storage and validation
|
||||
services for behavior attestations and verification proofs
|
||||
generated by BAEs. These registries operate using a federated
|
||||
trust model similar to the Public Registry Enrollment Mode,
|
||||
enabling cross-organizational behavior verification without
|
||||
requiring direct trust relationships between all participants.
|
||||
Each registry MUST validate the cryptographic integrity of
|
||||
incoming attestations, verify the authenticity of the attesting
|
||||
BAE, and maintain tamper-evident logs of all verification
|
||||
activities. Verification Registries support both real-time queries
|
||||
for immediate behavior verification and batch processing for
|
||||
historical behavior analysis. The registries expose standardized
|
||||
APIs that allow verifying parties to retrieve behavior
|
||||
attestations, validate verification proofs, and assess agent
|
||||
trustworthiness based on historical behavior patterns.
|
||||
|
||||
Trust Anchor Management provides the foundational trust
|
||||
infrastructure that enables the entire ABVP ecosystem to function
|
||||
reliably. Trust anchors serve as root sources of trust for
|
||||
behavior verification and are typically backed by hardware
|
||||
attestation mechanisms, multi-party consensus systems, or
|
||||
established certificate authorities as defined in [RFC5280]. The
|
||||
Trust Anchor Management component MUST provide mechanisms for
|
||||
trust anchor discovery, validation, and lifecycle management
|
||||
including key rotation and revocation. Following the DNS TXT
|
||||
Records approach for agent identity distribution, trust anchor
|
||||
information MAY be published using DNS infrastructure to enable
|
||||
scalable trust anchor discovery across organizational boundaries.
|
||||
Trust Anchor Management also defines the policies and procedures
|
||||
for establishing new trust anchors, managing trust relationships
|
||||
between different ABVP deployments, and handling trust anchor
|
||||
compromise or revocation scenarios.
|
||||
|
||||
The interaction between these components creates a continuous
|
||||
behavior verification loop that provides ongoing assurance of
|
||||
agent trustworthiness. When an agent performs actions, the
|
||||
associated BAE captures these activities as behavior traces and
|
||||
generates signed attestations that are stored in Verification
|
||||
Registries. Verifying parties can query these registries to obtain
|
||||
current and historical behavior attestations, validate them
|
||||
against relevant trust anchors, and make informed decisions about
|
||||
agent trustworthiness. This architecture supports both centralized
|
||||
deployments within single organizations and federated deployments
|
||||
spanning multiple organizations, enabling behavior verification
|
||||
across the full spectrum of autonomous agent operational
|
||||
scenarios. The modular design allows organizations to implement
|
||||
components incrementally while maintaining interoperability with
|
||||
existing agent infrastructure and protocols such as those defined
|
||||
in [draft-birkholz-verifiable-agent-conversations].
|
||||
|
||||
5. Behavior Capture and Attestation Mechanisms
|
||||
|
||||
The ABVP behavior capture subsystem defines standardized
|
||||
mechanisms for recording agent actions, decisions, and reasoning
|
||||
processes in a cryptographically verifiable format. Agent
|
||||
implementations MUST generate behavior traces that capture
|
||||
sufficient detail to enable meaningful verification against
|
||||
behavioral policies. These traces MUST include timestamped records
|
||||
of agent actions, input stimuli, decision reasoning (as specified
|
||||
in [draft-birkholz-verifiable-agent-conversations]), and any
|
||||
policy evaluations performed by the agent. The behavior capture
|
||||
mechanism SHOULD be implemented as close to the agent's core
|
||||
reasoning engine as possible to minimize opportunities for
|
||||
tampering or selective reporting.
|
||||
|
||||
Behavior traces MUST be structured as JSON objects [RFC8259]
|
||||
containing mandatory fields for agent identity, timestamp, action
|
||||
type, input context, and reasoning chain. The reasoning chain
|
||||
field leverages the agent reasoning trace capture mechanisms
|
||||
defined in [draft-birkholz-verifiable-agent-conversations] to
|
||||
provide transparency into the agent's decision-making process.
|
||||
Each trace entry MUST be signed using the agent's cryptographic
|
||||
identity as established through hardware-backed verification
|
||||
systems [draft-aylward-aiga-1]. Implementations MAY compress or
|
||||
summarize behavior traces for efficiency while maintaining
|
||||
cryptographic integrity through merkle tree structures or similar
|
||||
authenticated data structures.
|
||||
|
||||
The attestation generation process transforms behavior traces into
|
||||
cryptographically signed behavior attestations that can be
|
||||
independently verified by third parties. Attestation engines MUST
|
||||
create attestations in JSON Web Signature (JWS) format [RFC7515]
|
||||
using keys derived from or backed by hardware trust anchors. For
|
||||
implementations with Trusted Platform Module (TPM) support,
|
||||
attestations SHOULD include TPM-backed signatures following
|
||||
patterns similar to those defined for email attestation in [draft-
|
||||
drake-email-tpm-attestation]. The attestation payload MUST include
|
||||
a hash of the complete behavior trace, the evaluation period,
|
||||
applicable behavior policies, and compliance assertions.
|
||||
|
||||
Hardware attestation integration provides the foundational trust
|
||||
layer for ABVP by anchoring behavior attestations to tamper-
|
||||
resistant hardware. Agents operating on platforms with Trusted
|
||||
Execution Environment (TEE) capabilities MUST generate
|
||||
attestations from within the TEE to ensure behavior trace
|
||||
integrity. The attestation process MUST establish a cryptographic
|
||||
chain of trust from the hardware root of trust through the agent's
|
||||
runtime environment to the behavior attestation itself. This chain
|
||||
enables verifiers to confirm not only that the attestation is
|
||||
authentic but also that the underlying behavior capture mechanism
|
||||
has not been compromised.
|
||||
|
||||
Attestation formats MUST support both real-time streaming
|
||||
attestations for continuous verification and batch attestations
|
||||
for periodic compliance reporting. Streaming attestations provide
|
||||
immediate behavior verification but require more computational
|
||||
overhead, while batch attestations enable efficient verification
|
||||
of longer behavior patterns. Implementations SHOULD support
|
||||
attestation aggregation mechanisms that allow multiple related
|
||||
behavior traces to be combined into a single attestation without
|
||||
losing verification granularity. All attestations MUST include
|
||||
sufficient metadata to enable policy evaluation and MUST be
|
||||
resistant to replay attacks through appropriate nonce and
|
||||
timestamp mechanisms as specified in [RFC8446] for cryptographic
|
||||
freshness.
|
||||
|
||||
6. Protocol Integration and Bindings
|
||||
|
||||
ABVP is designed to operate as a complementary layer alongside
|
||||
existing agent protocols and authorization frameworks, providing
|
||||
behavior verification capabilities without disrupting established
|
||||
communication patterns. The protocol integrates through
|
||||
standardized extension points and binding mechanisms that allow
|
||||
existing agent infrastructures to incrementally adopt behavior
|
||||
verification. ABVP bindings MUST be implemented in a manner that
|
||||
preserves backward compatibility with agents that do not support
|
||||
behavior verification while providing enhanced trust capabilities
|
||||
for ABVP-enabled environments.
|
||||
|
||||
The protocol defines three primary integration patterns: inline
|
||||
verification where behavior attestations are embedded directly in
|
||||
protocol messages, out-of-band verification where behavior proofs
|
||||
are transmitted through separate channels, and registry-based
|
||||
verification where behavior attestations are stored in distributed
|
||||
verification registries for asynchronous validation. For OAuth 2.0
|
||||
[RFC6749] and similar authorization frameworks, ABVP extends
|
||||
token-based flows by including behavior verification claims within
|
||||
JWT tokens [RFC7519] or as additional attestation headers. The
|
||||
Behavior Attestation Engine generates verification proofs that
|
||||
reference the agent's recent behavior traces and embeds these
|
||||
within the authorization context, enabling authorization servers
|
||||
to make access decisions based on both identity and behavioral
|
||||
compliance.
|
||||
|
||||
Integration with Trusted Execution Environment (TEE) based agent
|
||||
frameworks leverages hardware attestation capabilities to anchor
|
||||
behavior verification in secure enclaves. ABVP bindings for TEE
|
||||
environments utilize the JOSE DVS extension mechanisms to provide
|
||||
derived verification signatures that combine hardware attestation
|
||||
with behavior proofs. The protocol supports integration with
|
||||
existing verifiable agent conversation frameworks [draft-birkholz-
|
||||
verifiable-agent-conversations] by extending conversation
|
||||
attestation to include behavioral compliance assertions. When
|
||||
integrated with agent discovery protocols, ABVP provides post-
|
||||
discovery authorization handshake capabilities that validate
|
||||
behavioral constraints before permitting tool execution or
|
||||
authority delegation.
|
||||
|
||||
Protocol message formats utilize CBOR Web Token (CWT) structures
|
||||
[RFC9052] for compact behavior attestations in bandwidth-
|
||||
constrained environments, while supporting JSON-based attestation
|
||||
formats [RFC8259] for web-oriented integrations. ABVP bindings
|
||||
MUST specify the transport-specific mechanisms for behavior
|
||||
verification, including TLS 1.3 [RFC8446] extension points for
|
||||
embedding behavior proofs in secure channels and X.509 [RFC5280]
|
||||
certificate extensions for long-term behavior attestation storage.
|
||||
The protocol defines standard header fields and message extensions
|
||||
that enable behavior verification across HTTP-based agent
|
||||
communications, WebSocket connections, and message queue systems.
|
||||
|
||||
Behavior policy alignment with standardized vocabularies such as
|
||||
AIPREF enables consistent behavior verification across multi-
|
||||
vendor agent environments. ABVP protocol bindings support dynamic
|
||||
policy negotiation where agents and verification entities can
|
||||
establish mutually acceptable behavior constraints and attestation
|
||||
formats during protocol handshake. The integration framework
|
||||
provides hooks for custom behavior verification logic while
|
||||
maintaining interoperability through standardized attestation
|
||||
formats and verification procedures. Implementation guidance
|
||||
specifies how existing agent frameworks can incrementally adopt
|
||||
ABVP capabilities, starting with passive behavior logging and
|
||||
progressing to active behavior enforcement and attestation
|
||||
generation.
|
||||
|
||||
7. Verification Workflows and Enforcement
|
||||
|
||||
This section defines the operational workflows that enable
|
||||
continuous behavior verification for autonomous agents. ABVP
|
||||
supports three primary verification patterns: real-time
|
||||
verification for immediate trust decisions, batch verification for
|
||||
historical compliance assessment, and dispute resolution for
|
||||
handling verification conflicts. Each workflow integrates with
|
||||
existing authorization frameworks while providing the behavioral
|
||||
assurance layer necessary for autonomous agent operations.
|
||||
|
||||
Real-time verification workflows enable immediate assessment of
|
||||
agent behavior during active operations. When an agent initiates
|
||||
actions that require behavioral validation, the Behavior
|
||||
Attestation Engine MUST generate a verification proof that
|
||||
demonstrates compliance with applicable behavior policies. The
|
||||
verification proof SHALL be constructed using Public Key Derived
|
||||
HMAC mechanisms as specified in [draft-bastian-jose-pkdh],
|
||||
allowing verifiers to authenticate behavior attestations using
|
||||
only public key information from the agent's JWS tokens. Resource
|
||||
servers implementing ABVP MUST validate these proofs against
|
||||
registered behavior policies before authorizing agent actions. The
|
||||
real-time workflow supports integration with OAuth 2.0 [RFC6749]
|
||||
access tokens through delegation evidence verification, enabling
|
||||
Resource Servers to verify behavior attestations using AS-attested
|
||||
keys bound to access tokens as described in [draft-chu-oauth-as-
|
||||
attested-user-cert].
|
||||
|
||||
Batch verification workflows provide mechanisms for historical
|
||||
behavior analysis and compliance reporting. Verification
|
||||
Registries MUST support batch processing of behavior traces
|
||||
covering extended time periods, enabling policy compliance
|
||||
assessment across multiple operational contexts. The batch
|
||||
verification process SHALL generate aggregated verification proofs
|
||||
that demonstrate sustained compliance with behavior policies over
|
||||
time. Batch workflows MUST implement congestion control mechanisms
|
||||
consistent with vendor-neutral behavior definitions for AI fabric
|
||||
environments to prevent verification processing from impacting
|
||||
operational performance. Verification results MUST be stored in
|
||||
structured formats using JSON [RFC8259] encoding and signed using
|
||||
CBOR Object Signing and Encryption (COSE) [RFC9052] to ensure
|
||||
integrity and non-repudiation.
|
||||
|
||||
Dispute resolution workflows address scenarios where behavior
|
||||
verification results are contested or inconsistent across multiple
|
||||
verification sources. When verification conflicts arise, the
|
||||
dispute resolution process MUST invoke multi-party attestation
|
||||
mechanisms involving relevant Trust Anchors to establish
|
||||
authoritative behavior assessments. The dispute resolution
|
||||
workflow SHALL generate resolution evidence that includes
|
||||
cryptographic proofs from multiple verification sources and a
|
||||
consensus determination of agent behavior compliance. Enforcement
|
||||
mechanisms MUST support graduated responses to behavior policy
|
||||
violations, ranging from behavioral warnings and restricted
|
||||
operation modes to complete agent authorization revocation. Policy
|
||||
integration points SHALL enable dynamic adjustment of behavior
|
||||
constraints based on operational context, agent trust levels, and
|
||||
historical compliance patterns, ensuring that enforcement actions
|
||||
are proportionate to assessed risks while maintaining operational
|
||||
continuity for compliant autonomous agents.
|
||||
|
||||
8. Security Considerations
|
||||
|
||||
The security architecture of ABVP introduces novel attack surfaces
|
||||
and trust model complexities that require careful analysis. The
|
||||
protocol's reliance on continuous behavior monitoring creates
|
||||
potential privacy vectors where sensitive agent reasoning
|
||||
processes and decision patterns become observable to verification
|
||||
entities. Implementers MUST ensure that behavior traces capture
|
||||
only policy-relevant actions while maintaining operational privacy
|
||||
through selective disclosure mechanisms. The cryptographic binding
|
||||
between behavior attestations and verification proofs, as defined
|
||||
in [RFC9052], provides integrity protection but assumes the
|
||||
underlying attestation infrastructure remains uncompromised. When
|
||||
utilizing Multi-Vendor TEE Attestation (M-TACE) as specified in
|
||||
[draft-aylward-aiga-1], implementations SHOULD distribute trust
|
||||
across multiple hardware vendors to mitigate single-vendor
|
||||
compromise scenarios, though this approach increases complexity in
|
||||
trust anchor management and attestation verification workflows.
|
||||
|
||||
Behavior spoofing attacks represent a fundamental threat to ABVP's
|
||||
security model, where malicious agents attempt to generate false
|
||||
behavior traces that appear compliant while executing unauthorized
|
||||
actions. The protocol addresses this through cryptographic proof-
|
||||
based autonomy mechanisms that require agents to demonstrate
|
||||
compliance through zero-knowledge proofs before receiving
|
||||
operational privileges. However, the effectiveness of these
|
||||
protections depends critically on the tamper-resistance of the
|
||||
behavior capture mechanisms and the integrity of the Trusted
|
||||
Execution Environment. Implementations MUST validate that TEE
|
||||
attestations conform to the hardware security requirements defined
|
||||
in the relevant trust anchor specifications, and SHOULD implement
|
||||
continuous attestation refresh cycles to detect runtime
|
||||
compromises. The integration with existing authorization
|
||||
frameworks [RFC6749] creates additional attack vectors where
|
||||
compromised authorization tokens could be used to bypass behavior
|
||||
verification requirements.
|
||||
|
||||
The trust model underlying ABVP assumes that Trust Anchors
|
||||
maintain cryptographic integrity and operate according to
|
||||
specified governance policies. This assumption creates systemic
|
||||
risks where compromise of trust anchors could invalidate entire
|
||||
verification domains. Implementations SHOULD implement trust
|
||||
anchor rotation mechanisms and maintain distributed trust models
|
||||
that prevent single points of failure. The protocol's integration
|
||||
with verifiable agent conversations [draft-birkholz-verifiable-
|
||||
agent-conversations] introduces cross-protocol security
|
||||
dependencies where vulnerabilities in conversation verification
|
||||
could compromise behavior attestation integrity. Additionally, the
|
||||
use of JSON Web Tokens [RFC7519] for attestation transport creates
|
||||
standard token-based attack surfaces including replay attacks and
|
||||
token manipulation, which MUST be mitigated through proper
|
||||
timestamp validation, nonce mechanisms, and secure token storage
|
||||
practices as specified in [RFC8446].
|
||||
|
||||
Temporal attacks against ABVP involve manipulating the timing of
|
||||
behavior verification to create windows where non-compliant
|
||||
behavior goes undetected. The protocol's real-time verification
|
||||
requirements create performance versus security trade-offs where
|
||||
verification latency could be exploited by sophisticated
|
||||
attackers. Implementations MUST establish maximum verification
|
||||
latencies and implement fail-safe mechanisms that restrict agent
|
||||
capabilities when verification cannot be completed within
|
||||
specified time bounds. The certificate-based trust model [RFC5280]
|
||||
underlying trust anchor validation introduces standard PKI
|
||||
vulnerabilities including certificate chain attacks and revocation
|
||||
checking failures. Privacy concerns extend beyond individual agent
|
||||
behavior to aggregate behavioral patterns that could reveal
|
||||
sensitive operational intelligence about agent deployments. The
|
||||
protocol SHOULD implement differential privacy mechanisms and
|
||||
behavioral aggregation techniques that preserve verification
|
||||
effectiveness while limiting information disclosure to
|
||||
verification entities and external observers monitoring
|
||||
attestation traffic patterns.
|
||||
|
||||
9. IANA Considerations
|
||||
|
||||
This document requires IANA to establish and maintain several
|
||||
registries to support the standardized deployment of the Agent
|
||||
Behavior Verification Protocol. These registries are essential for
|
||||
ensuring interoperability across different ABVP implementations
|
||||
and preventing conflicts in namespace usage. The registries MUST
|
||||
be publicly accessible and maintained according to the policies
|
||||
specified in this section.
|
||||
|
||||
IANA SHALL establish the "ABVP Behavior Verification Schema
|
||||
Registry" to manage standardized schemas for behavior attestation
|
||||
formats and verification proof structures. Registration requests
|
||||
MUST include the schema name, version identifier, JSON Schema
|
||||
definition [RFC8259], cryptographic signature requirements, and
|
||||
designated expert contact information. The registry SHALL use the
|
||||
"Expert Review" policy as defined in RFC 8126, with designated
|
||||
experts required to verify schema completeness, cryptographic
|
||||
soundness, and compatibility with existing ABVP attestation
|
||||
mechanisms. Schema names MUST follow the format "abvp-
|
||||
schema-{category}-{name}" where category indicates the behavior
|
||||
domain (e.g., "communication", "resource-access", "decision-
|
||||
making") and name provides specific identification.
|
||||
|
||||
The "ABVP Protocol Identifier Registry" SHALL be established to
|
||||
manage unique identifiers for ABVP protocol bindings and
|
||||
integration points with existing agent protocols. Each registered
|
||||
identifier MUST specify the target protocol integration (such as
|
||||
OAuth 2.0 [RFC6749] flows or TLS 1.3 [RFC8446] handshake
|
||||
extensions), the ABVP message format requirements, and backward
|
||||
compatibility constraints. Registration follows the "IETF Review"
|
||||
policy, requiring protocol bindings to demonstrate security
|
||||
analysis and interoperability testing with at least two
|
||||
independent implementations. Protocol identifiers MUST use URI
|
||||
format with the "urn:ietf:params:abvp:" prefix to ensure global
|
||||
uniqueness.
|
||||
|
||||
IANA SHALL create the "ABVP Enforcement Pillar Registry" to
|
||||
standardize the Five Enforcement Pillars framework referenced in
|
||||
this specification, ensuring consistent implementation across
|
||||
verification systems. Each pillar registration MUST include typed
|
||||
schemas that formally define monitoring requirements, enforcement
|
||||
actions, and compliance measurement criteria. The registry MUST
|
||||
maintain version control for pillar definitions and provide clear
|
||||
migration paths when pillar specifications evolve. This registry
|
||||
SHALL also coordinate with the AIPREF Vocabulary Protocol to
|
||||
ensure alignment between behavior verification vocabularies and AI
|
||||
requirement specifications, preventing semantic conflicts in
|
||||
multi-protocol environments.
|
||||
|
||||
The "ABVP Trust Anchor Registry" SHALL manage identifiers and
|
||||
metadata for recognized trust anchor sources, including hardware
|
||||
attestation roots, multi-party consensus systems, and certified
|
||||
verification authorities. Trust anchor registrations MUST include
|
||||
cryptographic key information, attestation capability
|
||||
descriptions, supported hardware platforms (such as TPM or TEE
|
||||
implementations), and revocation procedures. The registry SHALL
|
||||
implement the "Expert Review" policy with additional requirements
|
||||
for security audit documentation and demonstrated operational
|
||||
history. All registered trust anchors MUST support the
|
||||
cryptographic requirements specified in RFC 9052 for COSE-based
|
||||
attestation formats and provide clear procedures for key rotation
|
||||
and emergency revocation scenarios.
|
||||
|
||||
10. References
|
||||
|
||||
10.1. Normative References
|
||||
|
||||
[RFC 2119]
|
||||
RFC 2119
|
||||
|
||||
[RFC 8174]
|
||||
RFC 8174
|
||||
|
||||
[RFC 8446]
|
||||
RFC 8446
|
||||
|
||||
[RFC 5280]
|
||||
RFC 5280
|
||||
|
||||
[RFC 7519]
|
||||
RFC 7519
|
||||
|
||||
[RFC 9052]
|
||||
RFC 9052
|
||||
|
||||
[draft-birkholz-verifiable-agent-conversations]
|
||||
draft-birkholz-verifiable-agent-conversations
|
||||
|
||||
[draft-aylward-aiga-1]
|
||||
draft-aylward-aiga-1
|
||||
|
||||
10.2. Informative References
|
||||
|
||||
[RFC 6749]
|
||||
RFC 6749
|
||||
|
||||
[RFC 8259]
|
||||
RFC 8259
|
||||
|
||||
[RFC 9110]
|
||||
RFC 9110
|
||||
|
||||
[draft-aylward-daap-v2]
|
||||
draft-aylward-daap-v2
|
||||
|
||||
[draft-chen-agent-decoupled-authorization-model]
|
||||
draft-chen-agent-decoupled-authorization-model
|
||||
|
||||
[draft-berlinai-vera]
|
||||
draft-berlinai-vera
|
||||
|
||||
[draft-chen-ai-agent-auth-new-requirements]
|
||||
draft-chen-ai-agent-auth-new-requirements
|
||||
|
||||
[draft-condrey-rats-witnessd-enrollment]
|
||||
draft-condrey-rats-witnessd-enrollment
|
||||
|
||||
[draft-drake-email-tpm-attestation]
|
||||
draft-drake-email-tpm-attestation
|
||||
|
||||
[draft-bastian-jose-dvs]
|
||||
draft-bastian-jose-dvs
|
||||
|
||||
[draft-bastian-jose-pkdh]
|
||||
draft-bastian-jose-pkdh
|
||||
|
||||
[draft-barney-caam]
|
||||
draft-barney-caam
|
||||
|
||||
[draft-altanai-aipref-realtime-protocol-bindings]
|
||||
draft-altanai-aipref-realtime-protocol-bindings
|
||||
|
||||
|
||||
Author's Address
|
||||
|
||||
Generated by IETF Draft Analyzer
|
||||
2026-03-04
|
||||
Reference in New Issue
Block a user