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Introducing ArmorCode Forge
Purpose-built LLMs for exposure decisions.
More precise, faster, and cheaper than general AI.
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One finding, four exposure management decisions
Severity MEDIUM
AssessCritical becomes Medium in context
VerifyNot a false positive
DecideConfirmed
ResolveFix and mitigation ready
Illustrative example
Four models. Four questions.
Forge Assess
How severe is it, really?
Contextual severity. Your scanner’s score stays intact.
Critical → MediumForge Verify
Is it a false positive?
Clear calls, and an honest “not sure” when evidence is thin.
Yes, no, or undeterminedForge Decide
Is it confirmed?
True positives, confirmed so teams can act with confidence.
Confidence level + reasoningForge Resolve
How do we fix it?
Fixes, mitigations, and steps to confirm they worked.
Fix + mitigation + validationBetter for exposure management decision making.
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.
The intelligence inside Anya Agents.
Context Risk Graph
ArmorCode Forge
Anya Agents
Verified fixes
Forge ahead
Forge recommends. Your team decides.
Every decision comes with a confidence level and the reasoning behind it.
Read the announcement →