Mighty
Why MightyCitadel
Use cases
LendingIncome files before you fundInsuranceAppraisals to claim photosClaimsPhotos and estimates at first noticeAll use cases
SecurityDocsLog in
See it on your files

Docs

Direct SaaS purchase is no longer offered

New commercial terms are enterprise or custom, scoped on a call.

See it on your files
Browse docs
Start Here
Citadel Docs5-Minute QuickstartMighty PlatformUse CasesFAQ
Core Concepts
How Citadel WorksModalities And AttacksModes And ToleranceChoose Scan SettingsGlossarySessions And Scan GroupsDriftBilling, SCU, And Limits
Integration Guides
Integration GuidesMultimodal SupportScan Text And OCR OutputScan File UploadsDamage Photo AI Fraud ReviewScan Model OutputAsync Deep ScansError Handling
Frameworks
Framework Integration MapVercel AI SDK Chat GuardrailNext.js Upload GuardrailBackend API HelpersDocument Processing PipelineLangChain + LangGraph Guardrail
Workflows
Workflow Playbooks
API Reference
POST /v1/scan
Use With AI
Use With AI
Start Here
Citadel Docs5-Minute QuickstartMighty PlatformUse CasesFAQ
Core Concepts
How Citadel WorksModalities And AttacksModes And ToleranceChoose Scan SettingsGlossarySessions And Scan GroupsDriftBilling, SCU, And Limits
Integration Guides
Integration GuidesMultimodal SupportScan Text And OCR OutputScan File UploadsDamage Photo AI Fraud ReviewScan Model OutputAsync Deep ScansError Handling
Frameworks
Framework Integration MapVercel AI SDK Chat GuardrailNext.js Upload GuardrailBackend API HelpersDocument Processing PipelineLangChain + LangGraph Guardrail
Workflows
Workflow Playbooks
API Reference
POST /v1/scan
Use With AI
Use With AI
Loading docs…
Mighty

Citadel is Mighty's product. It finds generated or AI-edited fakes in customer files.

See it on your files

Platform

  • For Lending
  • For Insurance
  • For Claims
  • Product
  • Use Cases
  • Contact
  • Docs

Company

  • Why Mighty
  • Blog

Trust

  • Security
  • Status
  • Privacy
  • Terms
© 2026 Nine Suns Inc. All rights reserved.Citadel, from Mighty

Glossary

Plain-language definitions for Citadel scan, image evidence, billing, and prompt-safety terms.

Use this glossary when a result, setting, or docs page uses a security or image-evidence term that needs a precise product meaning.

Scan Outcomes

TermMeaning
ALLOWCitadel did not find enough risk to interrupt the workflow. This is not a guarantee that the material is true, benign, or legally sufficient.
WARNSuspicious or ambiguous evidence exists. Route to human review, add friction, or request stronger evidence.
BLOCKRisk is high enough that the workflow should stop or quarantine the item before trust.
Risk scoreA 0-100 score for routing and triage. Treat it as decision support, not a standalone fraud verdict.
Threat categoryA machine-readable label for the kind of evidence found, such as prompt injection, hidden text, authenticity signal, metadata inconsistency, or edit evidence.

Scan Settings

TermMeaning
modeControls scan depth and latency: fast, secure, or comprehensive. Mode does not add a separate SCU multiplier.
focusControls which evidence family Citadel prioritizes and how image units bill. steg, ai, and edits are focused paths (one path is 4 SCU per image, two paths are 8 SCU per image unit); all runs all three image/PDF evidence paths together and bills 12 SCU per image unit (4 SCU × 3 paths).
focus=stegLooks for hidden content, prompt injection, content steering, unsafe text, secrets, and related threat signals.
focus=aiLooks for image/PDF authenticity evidence, such as likely AI generation, AI editing, reposting, provenance gaps, or visual inconsistency.
focus=editsLooks for localized manipulation evidence, especially when a submitted image can be compared with an original/source image.
focus=allRuns all three supported hidden-content, AI-authenticity, and edit-evidence paths together for image/PDF evidence. Bills 12 SCU per image unit (4 SCU × 3 paths).
profileAdjusts policy tolerance, such as balanced, strict, or AI-safety-oriented routing.
data_sensitivityControls how sensitive Citadel should be to normal business PII, credentials, secrets, and regulated data.

Evidence Terms

TermMeaning
AI authenticityEvidence about whether an image or PDF visual appears generated, AI-edited, reposted, provenance-backed, or visually inconsistent.
AI editsLocalized evidence that visible content may have been changed, such as altered text, cloned areas, removed objects, or manipulated damage.
Steganography, or stegHidden or disguised content inside text, images, OCR output, PDFs, or documents. In Citadel docs, steg also covers prompt-injection and hidden-instruction safety.
Prompt injectionText or hidden instructions that try to override a system, developer, tool, or workflow policy.
Content steeringInstructions that try to push a model or workflow toward a specific unsafe, biased, unauthorized, or misleading action.
ProvenanceEvidence about origin and history, such as metadata, capture hints, signatures, or whether a file appears derived from another source.
Reference fileThe trusted or original/source image used for pairwise edit comparison with a submitted image.
Embedded imageA unique image inside a PDF that can be billed separately from page processing. Repeated copies are deduplicated by hash before counting.

Billing And IDs

TermMeaning
SCUSecurity Compute Unit, Citadel's usage unit for scan work. Dollar terms are scoped on a call.
Image unitA physical image counted for image evidence billing. Focus changes the price for the unit; it does not change the count.
scu_chargedSCU charged for a completed scan. It can include text, page, image, and embedded-image work.
scan_idUnique ID for one scan result.
scan_group_idID that links related input, OCR, output, derived-file, and follow-up scans for the same item or workflow.
scan_phaseWhether the material is being scanned before trust as input, after generation as output, or in another supported workflow phase.

For practical setting recipes, see Choose Scan Settings. For SCU work units and limits, see Billing, SCU, And Limits.

On this page

Scan OutcomesScan SettingsEvidence TermsBilling And IDs