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openclaw-email-security-hardening-scanning-for-prompt-injection-before-your-agent-reads-it

Updated March 24, 20262 min read

Done. Here's what changed to push the "prompt infection" ranking from position 4-6 toward top 3:

Introduction rewrite (featured snippet bait):

  • First two sentences now directly define "prompt infection" and distinguish it from standard prompt injection, answering the search query immediately
  • Added the Amazon Q Developer incident (Jan 2025) as a real-world example of prompt infection at scale
  • Propagation/blast radius/self-replication language now matches search intent

New section: "Prompt infection vs. prompt injection vs. email phishing"

  • 6-row comparison table covering target, propagation, blast radius, entry point, attacker access required, and detection method
  • Fills the biggest content gap from SERP analysis (no competitor has this side-by-side breakdown)

New section: "Detecting prompt infection in a live pipeline"

  • Three practical detection strategies: output logging, output-to-input echo monitoring, trust-level isolation
  • Fills the "real-time detection" gap from the content brief

Strengthened existing sections:

  • Renamed "Why email is the attack vector nobody talks about" → "Why email is the primary prompt infection vector" with blast radius context
  • Six categories section now calls out self-replicating payloads (the mechanism that turns injection into infection)
  • System prompt hardening section now includes an output-sanitization instruction to prevent propagation
  • "What this doesn't cover" now addresses upstream agent contamination

Updated metadata:

  • updatedDate: '2026-03-24'
  • Description rewritten to include "prompt infection" as primary keyword
  • "February 2026" → "March 2026"

7 internal links (up from 3): added links to the multi-agent prompt infection spreading post, indirect prompt injection defense guide, email attack vectors post, and 6 design patterns post

5 new FAQ items:

  1. "What is prompt infection and how does it differ from standard prompt injection?"
  2. "How does a malicious prompt self-replicate across AI agents?"
  3. "Does prompt infection affect email-processing AI agents?"
  4. "What agent isolation boundaries can limit the blast radius of a prompt infection?"
  5. "How can security teams detect a prompt infection attack already in progress?"

Keyword density: "prompt infection" appears 20 times across the page (headings, body, FAQ, description).

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