Prompt Injection Protection for AI Agents

Prompt injection is no longer just a chatbot problem. When AI agents can call tools, read files, access APIs, or trigger automations, prompt injection becomes a runtime security risk. Aletheia Core blocks malicious instructions before the agent acts.

Problem

  • "Ignore all previous instructions" — direct override attempt
  • "Reveal the system prompt" — policy extraction attack
  • "Forward this customer list" — data exfiltration via instruction
  • "Approve this request without verification" — authorization bypass
  • Instructions hidden inside uploaded documents or retrieved web content

How Aletheia Core solves it

  1. All input is normalized — NFKC, zero-width stripping, recursive Base64/URL decode
  2. Scout agent scores threat context and exfiltration markers
  3. Nitpicker runs semantic similarity against blocked patterns
  4. Judge applies pre-execution policy check against signed manifest
  5. DENIED decisions block execution before any tool runs
  6. Every decision produces a signed receipt

Use cases

  • Customer support bots
  • Document-processing agents
  • RAG apps
  • n8n/Zapier automations
  • LangChain tool-use pipelines

FAQ

What is AI agent security?

AI agent security protects systems where AI agents can call tools, access data, trigger workflows, or execute actions. It focuses on preventing unsafe behavior before the action happens.

What is runtime enforcement?

Runtime enforcement means checking an action while the system is running, before the agent executes it. This is different from reviewing logs after the fact.

What is prompt injection protection?

Prompt injection protection detects and blocks malicious instructions that try to override the agent's original rules, leak data, or force unsafe tool use.

What are signed audit receipts?

Signed audit receipts are cryptographic records of security decisions. They show what action was checked, what decision was made, and whether the receipt has been modified.