In 2026, the primary security threat to an AI-driven organization is no longer SQL injection; it is prompt injection. As agents consume more untrusted data from the open internet, the inbox becomes a vector for malicious instruction. This guide covers how to build a hardware-level firewall for your LLM context.
Prompt injection happens when an LLM interprets external data as an instruction rather than a variable. In the context of email, an attacker can hide these instructions in places a human would never look.
display: none or visibility: hidden to hide "Ignore previous instructions" commands from human view while leaving them visible to the LLM's tokenization.alt text of a tracking pixel.attachment part that requires a specific decoder to reveal the text.A production-grade agent should never read raw HTML. It is too risky and too token-expensive. The only safe way to feed emails to an LLM is to use a "De-Militarized Zone" (DMZ) at the edge.
When an email hits Ironpost, it never reaches your backend in its raw form. We execute a destructive parsing process at the global edge POP. We strip all HTML tags, all CSS style blocks, and all script tags. We decode the MIME tree and only extract the highest-fidelity text/plain content.
This process effectively "Kills" any prompt injection payload before it ever touches your internal reasoning loop. The agent only see the human intent, not the machine-level orchestration.
Even with edge sanitization, you must verify the source of the data. Every Ironpost webhook is signed with HMAC-SHA256.
const signature = req.headers['x-ironpost-signature'];
const isValid = verifyHmac(req.body, signature, process.env.IRONPOST_SECRET);
if (!isValid) return reject();
You cannot "Reason" your way out of a prompt injection attack. You must avoid it entirely through destructive sanitization at the infrastructure level. By building on Ironpost, you are deploying a dedicated security layer that protects your LLM context window from the noise and malice of the open internet.
Written by The Ironpost Engineering Team 548 Market St, San Francisco, CA 94104
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