DeAgenticAI's Agentic Control Plane enforces cryptographic policy over AI agent authority, separating what an agent can do from what it is authorized to do.
The Agentic Control Plane (ACP) is a multi-layer governance infrastructure built for autonomous AI agents operating on-chain. As AI agents move from supervised tasks into autonomous capital management — executing trades, moving treasury funds, paying for compute at machine speed — the question of authorization becomes critical. An agent’s technical capability to execute a transaction is not the same as authorization to execute it. Without an enforcement layer that verifies authorization cryptographically, capability becomes the attack surface.
DeAgenticAI’s Agentic Control Plane 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. Purpose-built for agents — not adapted from human-custody tools — the ACP spans eight architectural layers, from Know Your Agent (KYA) identity verification through intent sanitization, policy enforcement, fraud detection, MPC signing, and chain execution. The full eight-layer architecture is detailed in the DeAgenticAI Ecosystem overview.
The AI agent submits a raw intent payload to the ACP — a structured proposal describing the action it wants to take, the target protocol, and the value involved.
The Intent Sanitization layer validates the proposal's structure, semantic integrity, and injection markers. Prompt injection attacks — adversarial inputs designed to redirect agent behavior — are blocked here before the intent advances to policy evaluation.
The Policy DSL evaluates the sanitized intent against the agent's defined governance rules: spending limits, protocol allowlists, time windows, and escalation paths. An intent outside the authorised policy scope is rejected at this layer.
Real-time anomaly analysis is applied against the agent's established behavior baseline. Deviations exceeding risk thresholds — unusual transaction sizes, atypical destination addresses, unusual transaction velocity — are flagged or blocked before signing proceeds.
Each signing node independently verifies the policy authorization hash before contributing a partial signature. This second cryptographic verification layer, independent of the orchestrator, ensures no single node can unilaterally approve a transaction.
The fully authorized, multi-signed transaction is submitted to the chain. An immutable audit entry is written at signing time.
For any organization deploying AI agents with on-chain authority — DAO treasuries managing hundreds of millions in protocol assets, Web3 funds running autonomous trading strategies, AI startups building governed financial products — the Agentic Control Plane is the separation between a governed deployment and a liability. A compromised or misbehaving agent that bypasses authorization controls can drain wallets, execute policy-violating trades, or trigger regulatory incidents before any human can intervene. Enforcing policy cryptographically, at the key level, makes that class of failure architecturally impossible within the authorized scope. Software guardrails — prompt constraints, model-level alignment, agent-layer safeguards — can be circumvented. Cryptographic enforcement at signing time cannot be bypassed through software means.
The Agentic Control Plane is DeAgenticAI's multi-layer infrastructure that enforces cryptographic policy over autonomous AI agent authority in Web3 and enterprise financial environments. It separates what an agent can technically do from what it is authorized to do — enforcing that distinction at the key level, before any transaction reaches the chain, not at the application layer where it can be circumvented.
Smart contracts enforce rules after a transaction is submitted on-chain — they can reject or revert, but submission has already occurred. The Agentic Control Plane enforces policy before any signing takes place: catching prompt injection at the Intent Sanitization layer, validating governance rules via the Policy DSL, and requiring policy authorisation hash verification at each MPC signing node. Enforcement happens upstream of the blockchain.
Yes. The policy enforcement and MPC signing layers are chain-agnostic. The ACP's Chain Abstraction layer handles multi-chain execution, and the governance stack — KYA, Intent Sanitization, Policy DSL, and Intent-Evaluated MPC — operates independently of the target chain. DeAgenticAI's ACP is designed to govern AI agents transacting across EVM chains, non-EVM chains including Solana, and other networks where autonomous agents operate.
AI agent frameworks such as LangChain, AutoGen, and CrewAI define what an agent can do — they provide tools, orchestration logic, and task execution capabilities. The Agentic Control Plane enforces what the agent is authorized to do — cryptographically, at signing time, not at the application layer. The two are complementary: frameworks build the agent's capabilities; the ACP governs how those capabilities are exercised on-chain.
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