---
title: "ArmorCode Forge"
url: "https://www.armorcode.com/forge"
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primary_entity: "ArmorCode Forge"
citation_value: "Published on ArmorCode; canonical URL https://www.armorcode.com/forge."
last_updated: "2026-10-26T21:36:52-07:00"
---

<h1>ArmorCode Forge</h1>

Introducing ArmorCode Forge

<h1>Purpose-built LLMs for exposure decisions.</h1>

More precise, faster, and cheaper than general AI.

 [Read the announcement →](https://www.armorcode.com/blog/armorcode-forge-purpose-built-llms-for-exposure-management)    One finding, four exposure management decisions Severity MEDIUM   Assess**Critical becomes Medium in context** Verify**Not a false positive** Decide**Confirmed** Resolve**Fix and mitigation ready**  **

Illustrative example

<h2>Four models. Four questions.</h2>

   01  Forge Assess

<h3>How severe is it, really?</h3>

Contextual severity. Your scanner’s score stays intact.

Critical *→* Medium   02  Forge Verify

<h3>Is it a false positive?</h3>

Clear calls, and an honest “not sure” when evidence is thin.

Yes, no, or *undetermined*   03  Forge Decide

<h3>Is it confirmed?</h3>

True positives, confirmed so teams can act with confidence.

Confidence level *+* reasoning   04  Forge Resolve

<h3>How do we fix it?</h3>

Fixes, mitigations, and steps to confirm they worked.

Fix *+* mitigation *+* validation

<h2>Better for exposure management decision making.</h2>

  More precise

One model per decision, with context already in hand.

 Faster

Answers in a fraction of a second.

 Cheaper

Far fewer tokens per decision.

<h2>The intelligence inside Anya Agents.</h2>

  Context Risk Graph ArmorCode Forge Anya Agents Verified fixes     Forge ahead

<h2>Forge recommends. Your team decides.</h2>

Every decision comes with a confidence level and the reasoning behind it.

 [Read the announcement →](https://www.armorcode.com/blog/armorcode-forge-purpose-built-llms-for-exposure-management)
