Glossary Entry

What is Intent Sanitization?

Intent Sanitization is DeAgenticAI's pre-execution pipeline that validates AI agent proposals against structural, semantic, and contextual integrity checks -- defending against prompt injection before any intent reaches the policy or signing layer.

Overview

Intent Sanitization sits at Layer 2 of DeAgenticAI’s Agentic Control Plane — the governance stack that enforces cryptographic policy over AI agent authority, separating what an agent can do from what it is authorized to do — in Web3 and enterprise financial environments.

Before any agent-generated intent reaches Policy DSL evaluation or MPC signing, Intent Sanitization validates, authenticates, and stress-tests the payload. Only proposals that pass all four verification stages advance to the signing layer.

Intent Sanitization is not input filtering. Conventional input sanitization strips or escapes problematic characters. Intent Sanitization operates at the semantic level — verifying that the intent payload means what it appears to mean and originates from a verifiable, authorized source.

A structurally clean payload carrying a semantically manipulated instruction fails at stage three. A well-formed payload from an unverified source fails at stage two.

How does it work?

  1. 1

    Structural Validation

    The raw intent payload is parsed against a strict schema. Malformed payloads, missing required fields, and type violations are rejected before semantic processing begins.

    Structural failures are caught in microseconds.

  2. 2

    Source Authentication

    The originating agent's KYA (Know Your Agent) credential is verified. This confirms the W3C DID is registered on-chain and the A2A Agent Card matches the expected identity.

    An intent from an unregistered or impersonated agent fails here, regardless of payload shape.

  3. 3

    Semantic Coherence

    The payload is evaluated for internal semantic consistency. This stage detects prompt injection patterns, contradictory action descriptors, and cases where stated intent diverges from encoded operation.

    A treasury withdrawal labeled as a balance check fails semantic coherence.

  4. 4

    Context Integrity Verification

    The intent is evaluated against active execution context — session history, prior authorizations, and behavioral baseline.

    This stage catches multi-step injection chains where each payload appears coherent in isolation but the sequence encodes an unauthorized operation.

Why does this matter?

Prompt injection is the number-one AI vulnerability on the OWASP Top 10 for 2025. For autonomous agents operating on-chain — executing transactions without human review — the attack surface is not an inconvenience; it is an existential risk to assets under management.

 

Software-layer guardrails cannot fully address this. An agent manipulated into generating a malformed intent can still produce a structurally valid-looking payload. Policy rules that evaluate well-formed payloads will process it. The manipulation happens before policy evaluation — which is exactly where Intent Sanitization operates.

 

Intent Sanitization is the ACP component designed to block prompt injection before signing. Other layers, such as Policy DSL and Intent-Evaluated MPC enforce authorization and signing controls, but Intent Sanitization is the semantic defense layer upstream.

 

The pipeline is pluggable: teams can extend stages with domain-specific detection logic without changing the core signing infrastructure.

 

Frequently Asked Questions

What is Intent Sanitization?

Intent Sanitization is DeAgenticAI's pre-execution pipeline that validates, authenticates, and stress-tests an AI agent's intent payload before it reaches the signing layer.

It executes four stages — structural validation, source authentication, semantic coherence, and context integrity verification — to block prompt injection at the semantic layer.

How does Intent Sanitization stop prompt injection?

Prompt injection embeds unauthorized instructions in data fields or uses semantic manipulation to change agent behavior.

Semantic Coherence detects mismatches between stated and encoded operations, while Context Integrity catches multi-step sequences that appear safe individually but combine into unauthorized actions.

Is Intent Sanitization the same as input validation?

No. Input validation checks syntax and structure. Intent Sanitization checks semantic meaning, identity authenticity, and contextual consistency.

A payload can pass structural validation and still fail Intent Sanitization.

Where does Intent Sanitization sit in the Agentic Control Plane?

Intent Sanitization is Layer 2 of the 8-layer ACP stack. It runs after identity verification and before Policy DSL evaluation.

This ensures only semantically verified, source-authenticated intents reach policy and signing layers.

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