Mighty
Mighty's Citadel scans customer intake files for AI-generated or AI-edited fakes and returns ALLOW, REVIEW, or BLOCK with an evidence packet.
Citadel is the most concrete document-fraud detector we've seen for mortgage and insurance intake. It names the three routing verdicts, publishes the evidence-packet shape (risk 94/100, YTD does not reconcile, file edited after creation, hidden instruction found), and documents the API down to SCU limits and 402/413/429 handling. That packet is what an underwriter needs at a buyback hearing. Two catches. First, it flags the file, not the truth of the claim — if you want claim adjudication, this is not it. Second, Mighty announces that direct SaaS purchase ends October 1, 2026, with new terms enterprise or custom; small teams that wanted to swipe a card and test will have to scope on a call
Verified 4d ago · liveness 70/100 · cite: rightaichoice.com/tools/mighty
- Mortgage lenders screening paystubs, W-2s, and bank statements before funding
- Insurance claims and SIU teams checking appraisals, damage photos, and estimates at first notice of loss
- Income-verification platforms that need an artifact-level fraud check alongside source checks
- Regulated enterprises that require in-cloud deployment and no model training on submitted documents
- General-purpose AI safety, guardrails, or content moderation programs
- High-volume OCR or data extraction with no fraud-verification goal
- Companies outside lending, insurance, and financial services
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Mighty if you need a general AI guardrail or content-moderation layer rather than an artifact-level check on customer-submitted lending and insurance files.
Billing runs on Mighty's SCU unit with session and scan-group limits, and the docs call out 402 (payment required), 413 (payload too large), and 429 (rate limit) responses — overage or blocked-scan behavior is set in
That puts it alongside enterprise fraud platforms in how it sells, rather than alongside self-serve document-verification APIs where a team can swipe a card and start. Budget for a scoped enterprise or custom agreement — especially after October 1, 2026, when Mighty states direct purchase of the hosted SaaS plan ends.
In short
Mighty — Mighty's Citadel scans customer intake files for AI-generated or AI-edited fakes and returns ALLOW, REVIEW, or BLOCK with an evidence packet. Best for Mortgage lenders screening paystubs, W-2s, and bank statements before funding, Insurance claims and SIU teams checking appraisals, damage photos, and estimates at first notice of loss, Income-verification platforms that need an artifact-level fraud check alongside source checks. Contact Sales pricing.
What's new in Mighty
Checked 4 days agoAcross the latest 1 update: 1 pricing change.
What people actually say about Mighty — is it worth it?
We scanned public community sources for Mighty on Jul 28, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Mighty? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Document math verification (reconciles period gross against claimed year-to-date totals)
- Pixel and layout tampering detection on submitted files
- Hidden instruction detection (prompt injection buried inside documents)
- Cross-document consistency checks across a loan or claim file
- Steganography detection in submitted images and documents
- Synthetic image and AI-edit detection
- Damage photo and appraisal image fraud screening
- Audio file inspection (closed beta; transcripts supported today)
- Verdict API returning ALLOW, REVIEW, or BLOCK per file
- Auditable evidence packet with 0–100 risk score
- Single API call (POST /v1/scan) accepts PDFs, images, and text pages
- Redacted output option for sensitive fields
- OCR and IDP output scanning (scan already-extracted text)
- Model output scanning with scan_phase=output and profile=ai_safety
- Chat guardrail: scan prompts before the model runs and output before users see it
About Mighty
Mighty builds Citadel, a document-fraud detector for lending and insurance intake. When a borrower sends a paystub or a claimant sends a damage photo, Citadel scans the artifact itself — not whether the underlying claim is true — and returns one of three verdicts: ALLOW, REVIEW, or BLOCK, with an evidence packet attached. One scan runs four checks: document math (does the period gross reconcile with the claimed year-to-date figure), pixel and layout tampering, cross-document consistency across a file, and hidden instructions — prompt-injection text buried inside the document. The API is a single call (POST /v1/scan) that accepts text, a PDF, an image, or OCR-extracted text, and returns a risk score on a 0–100 scale plus signals for each finding. There is a redacted-output option for sensitive fields, async deep scans for batch intake, and a damage-photo path aimed at property claims. Citadel sits in front of origination, underwriting, and claims systems rather than replacing them: source checks still confirm income or employment exists, and Citadel confirms the artifact was not manipulated. Mighty-hosted or in your own cloud, with the company stating documents are never used to train models and are scanned then released rather than stockpiled. Buyers bring a sample from live intake to a working session, walk the evidence packet, then scope security, retention, and commercial terms. Direct SaaS purchase ends October 1, 2026, after which new engagements are enterprise or custom deals.
Behind the Verdict
What Mighty gets right is scoping. It does not claim to detect fraud, only to flag risk on the file before your workflow funds, binds, pays, stores, or calls a model. That restraint is rarer than it should be in this category, and it is why the output is defensible: every verdict carries what the file claimed, what Citadel found, and a 0–100 risk score your reviewer can point at. The scan pipeline is broader than a single forgery check. Document math reconciliation catches the paystub whose YTD does not follow from its period gross. Pixel and layout inspection catches the image that was edited after it was created. Cross-document checks catch the W-2 that disagrees with the bank statement. Hidden-instruction detection catches the prompt injection buried in a PDF — a check almost nobody else sells to a mortgage desk, and one that matters more as intake flows into AI chatbots and OCR pipelines. Steganography detection and synthetic-image screening round it out for damage photos and appraisals. The integration story is developer-shaped rather than enterprise-shaped. Published framework guides cover the Vercel AI SDK, Next.js uploads, LangChain and LangGraph guardrail workflows, plus a framework integration map and backend API helpers. There is no Salesforce or Guidewire marketplace listing in what we could read, so plan on a build, not a toggle. Audio is in closed beta with transcripts supported today. Billing runs on SCU with sessions and scan groups so related scans reconcile. Where it does not fit: general AI safety and content moderation, high-volume OCR with no fraud goal, and any company outside lending, insurance, and financial services. Files are scanned and released rather than retained, which is a strong privacy posture but means retention obligations have to be agreed contractually. And the commercial shift matters — with direct SaaS purchase ending October 1, 2026, a team that wants a $50 credit card test is out of luck; you scope on a call. For a regulated lender or SIU team already carrying buyback exposure on altered income documents, that scoping conversation is where the value gets proven anyway.
Researching Mighty? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Mighty actually fits — and what changes day-one when you adopt it.
A paystub arrives in intake and the loan is two days from funding. You send it to POST /v1/scan with scan_phase=input; Citadel returns BLOCK, risk 94/100, because the claimed $84,200 YTD does not reconcile with the $4,016 period gross and the file shows edits made after creation.
Outcome: Funding stops on the packet rather than on a hunch, and the evidence travels with the file so underwriting can defend the decision if the loan is later challenged.
A property claim lands with damage photos and a contractor estimate. You scan the images for authenticity and forensic signals and scan the estimate as text, then use a scan_group_id to tie the scans to the same claim file.
Outcome: A synthetic or post-creation-edited photo routes to a reviewer before the claim pays, and the grouped evidence gives the SIU file a single audit trail.
Your intake chatbot accepts PDF uploads. You add a Citadel guardrail call before the model runs, using content_type=text for the extracted text and profile=ai_safety on model output.
Outcome: A PDF carrying a hidden instruction warning is stopped before the prompt reaches the model, instead of the injection silently steering your downstream automation.
Use Cases
- Scan paystubs for altered income figures before funding a loan.
- Check damage photos for synthetic edits before approving an insurance claim.
- Detect hidden prompt injection in PDFs uploaded to AI chatbots.
- Verify cross-document consistency between W-2s and bank statements.
- Audit OCR output for manipulated text that could steer downstream automation.
- Route suspicious file uploads to manual review with evidence before processing.
- Screen appraisals and repair estimates for tampering at first notice of loss.
Limitations
- Mighty is not a document-truth or fact-checking system.
- Citadel flags generated or AI-edited fakes in customer files and returns allow, review, or block rather than verifying whether a claim is true.
- Mighty also states directly that direct purchase of the hosted SaaS plan ends October 1, 2026, with new terms becoming enterprise or custom.
- Files are scanned and released rather than retained, so buyers with specific retention obligations need those terms agreed separately.
- Audio inspection is in closed beta, with transcripts supported today.
as of 2026-10-04
Verification history
We have re-verified Mighty 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Mighty's pricing actually pencils out — and where peers do it cheaper.
That puts it alongside enterprise fraud platforms in how it sells, rather than alongside self-serve document-verification APIs where a team can swipe a card and start. Budget for a scoped enterprise or custom agreement — especially after October 1, 2026, when Mighty states direct purchase of the hosted SaaS plan ends.
Setup time & first value
How long it actually takes to get something useful out of Mighty — broken out by persona, not the marketing-page minute.
Developers can follow the 5-minute quickstart, set MIGHTY_API_KEY, and hit POST /v1/scan against the gateway host the same day; the docs ship framework guides for the Vercel AI SDK, Next.js uploads, and LangChain/LangGraph. Enterprise buyers should plan longer: the working session on your own sample files, plus security review, retention terms, and contracting, sits on the critical path before
Switching to or from Mighty
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a manual reviewer queue: route uploads through POST /v1/scan first and send only REVIEW verdicts to humans, keeping the evidence packet with each escalated file.
- →From an existing OCR or IDP pipeline: scan the extracted text (content_type=text) and attach the file scan with a shared scan_group_id so fields and artifacts stay linked.
- →From an AI SDK or LangChain intake flow: drop in the published Vercel AI SDK and LangChain/LangGraph guardrail guides rather than building the check yourself.
- ↗To manual underwriting review: use the evidence packet as the review brief, though you lose automated ALLOW/REVIEW/BLOCK routing across volume.
- ↗To a general AI safety or content-moderation platform: those govern model behavior, not artifact tampering in a customer-submitted paystub — expect to rebuild the document-math and pixel checks.
- ↗To a source-verification provider: those confirm income or employment exists and do not inspect whether the artifact was edited, so the two are complements rather than replacements.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Mighty”, and we withheld 6: 6 could not be judged, because “Mighty” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Mighty.
Official links
Tools that pair well with Mighty
Common stack mates teams adopt alongside Mighty, with the specific reason each pairing earns its keep.
Stripe Radar
Stripe Radar blocks payment, account, and customer abuse fraud with AI trained on 70T+ Stripe network data points
Resistant AI
Resistant AI detects forged, tampered, and AI-generated document fraud and adds 80+ transaction-monitoring models to your stack.
ComplyAdvantage
AI-native AML platform that screens customers, monitors risk, and uses agentic AI to auto-clear up to 85% of routine alerts.
Featured Head-to-Head Comparisons
Mighty vs Sublime Security
If your primary concern is document fraud in lending or insurance, choose Mighty for its specialized math and tampering detection. If you need to protect email against BEC and phishing, Sublime Security offers deep conversational AI and custom rules. The tools are complementary rather than direct competitors.
Mighty vs Push Security
If you need to secure browser-based attacks and AI tool usage across browsers, Push Security is the clear choice. If you need to detect document fraud in lending or insurance workflows, Mighty is purpose-built. The two tools serve completely different threats — choose based on your primary risk: browser-borne vs document-borne fraud.
Mighty vs Audioeye
Mighty and AudioEye solve completely different problems. Choose Mighty if you need to stop document fraud in lending or insurance before money moves. Choose AudioEye if you need web accessibility compliance to avoid lawsuits. They are not direct competitors; your choice depends solely on your domain.
Bodyguard Ai vs Mighty
If you're processing paystubs, W-2s, or damage photos and need to catch fraud before money moves, Mighty is purpose-built for that. If you're managing millions of comments across social platforms and need multimodal moderation with insights, Bodyguard.ai is the enterprise choice. They solve different problems - pick the one that matches your workflow.
Alloy vs Mighty
Choose Mighty if your fraud concern is manipulated documents (paystubs, W-2s, damage photos) and you need a simple API verdict per scan. Choose Alloy if you need a full-stack compliance orchestration platform with identity verification, AML screening, and transaction monitoring for a regulated financial institution. Mighty is a narrowly-focused fraud layer; Alloy is an enterprise lifecycle platform.
Extrahop vs Mighty
Mighty and ExtraHop serve entirely different domains. If you need to prevent document fraud in lending or insurance before payouts, Mighty is the clear choice with per-document pricing and no minimums. ExtraHop is a high-end network detection and response platform for large enterprises needing packet-level forensics and autonomous SOC operations. Choose based on your threat surface: documents vs. network traffic.
Alternatives to Mighty
View allStripe Radar
Stripe Radar blocks payment, account, and customer abuse fraud with AI trained on 70T+ Stripe network data points
Resistant AI
Resistant AI detects forged, tampered, and AI-generated document fraud and adds 80+ transaction-monitoring models to your stack.
ComplyAdvantage
AI-native AML platform that screens customers, monitors risk, and uses agentic AI to auto-clear up to 85% of routine alerts.
Frequently Asked Questions
Best-of guides
Used Mighty? Help shape our editorial sentiment research.