AIIntermediate#Architecture#Data Provenance#Security
Perception Layer
P
Definition
The part of an AI workflow that collects and labels inputs such as blockchain records, market data, and public communications. It supplies context for review; it does not establish truth, identify people, predict prices, or justify an action.
Source reviewed
- NIST: Trustworthy and Responsible AI opens in a new tab
Supports: NIST describes AI agents as systems that use models to select and call tools, and notes prompt-injection risks when agents consume untrusted input sources.
- OWASP Top 10 for LLM Applications opens in a new tab
Supports: OWASP identifies prompt injection as a risk when untrusted content influences an LLM application's actions or tool use.
Concept Diagram
Key Takeaways
1
A perception layer collects and labels inputs; it does not verify identity, intent, legitimacy, or a future price move.
2
Every signal needs a source, timestamp, identifier, transformation record, and visible uncertainty.
3
Retrieved webpages, posts, metadata, and API fields are untrusted data and must not change agent permissions or policy.
4
Keep collection separate from execution: use reviewable alerts or drafts instead of autonomous wallet or exchange actions.
Practical Example
A workflow records a public transfer with its transaction hash, chain, block time, and data-provider timestamp. A separate social post is stored with its URL and collection time. The interface labels both as unverified observations, links to the original records, and does not infer the wallet owner or create a trade.
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Related Terms
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AgenticityAn informal way to describe how much an AI system can observe, plan, call tools, and act. It is not a standardized maturity score, a measure of trustworthiness, or permission to give an agent broad authority.
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OpenClaw OSA self-hosted AI-agent gateway and runtime. Its documented security model assumes one trusted operator boundary per gateway, not a shared hostile multi-tenant service.
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Execution LayerA controlled component that prepares, validates, signs, submits, and monitors a state-changing operation. In an agent workflow, it must treat model output as an untrusted proposal, not as authority to move funds or call a contract.
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Sentiment EngineA workflow that collects and labels language or other public signals as a modelled sentiment measure. It can describe a selected dataset; it cannot reliably identify motive, distinguish promotion from genuine belief, forecast price, or verify a market-wide state.
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