# OPSWAT AI Content Inspector v2.4.0 Release: Expanded File Support and C2PA Validation > Source: > Published: 2026-11-11 03:19:00+00:00 | [OPSWAT AI Content Inspector](https://www.opswat.com/docs/mdcore/release-notes/opswat-ai-content-inspector-release-notes) helps your organization make more informed decisions about submitted content before approval or payout. Offline validation of C2PA Content Credentials distinguishes verified credentials from unverified labels, while edit-history analysis detects AI use recorded in earlier editing steps, including for images inside Office documents and PDFs. New HTML support extends inspection to page text and embedded images, and faster concurrent scanning helps teams process higher submission volumes. | |---| ## Key Takeaways - **Covers the files where fraud arrives:** Inspect .eml and .msg email messages with image attachments; Word, Excel, and PowerPoint files, including modern, legacy, and macro-enabled formats; RTF and OpenDocument files; PDFs with embedded images; and supported image formats, including WMF and EMF. HTML support is new in v2.4.0 - **Validated provenance:** Offline checks against official C2PA trust lists help distinguish trusted Content Credentials from unverified or unverifiable claims about a file's origin - **Earlier AI use revealed:** C2PA edit-history analysis finds recorded AI involvement in earlier editing steps, including for images inside Office documents and PDFs - **More informed review decisions:** Faster concurrent scanning and clearer results help teams assess suspicious submissions before payment, claim approval, or onboarding ## **Why File Coverage Matters for AI Fraud Detection** An invoice can arrive in an Outlook message. A damage photo can be embedded in a PDF. A vendor can submit an HTML file containing generated text and images. Each file can pass malware checks and still contain fabricated content that misleads a reviewer or an automated approval system. OPSWAT AI Content Inspector v2.4.0 addresses that risk with expanded file support and stronger validation of content provenance. Building on recent enhancements to document inspection, detection models, and scanning performance, the release gives fraud, security, and operations teams more evidence to decide which submissions can proceed and which need investigation. The engine combines AI classifiers, forensic signals, metadata analysis, and watermark detection to assess submitted content. Your organization can inspect files where they enter the business and apply review policies before a payment, claim, or onboarding decision moves forward. ## **Inspect the Files Your Business Actually Receives** Content-based fraud reaches organizations through everyday business formats. A workflow that checks uploaded photographs also needs to account for those images arriving inside documents or attached to email messages. Version 2.4.0 adds HTML support, checking page text and embedded images in .html and .htm files for AI-generated content. Together with the document and email capabilities added in recent releases, AI Content Inspector now covers: - **Microsoft Office documents:** Word documents, Excel spreadsheets, and PowerPoint presentations, including supported legacy and macro-enabled formats - **OpenDocument files:** Text documents, spreadsheets, and presentations used across alternative office applications - **Email message files:** .eml and .msg files, including metadata forensic analysis of attached images - **PDFs, text, and images:** Existing coverage is strengthened by metadata forensic analysis of images embedded in PDFs and additional image support, including WMF and EMF For your organization, this means broader inspection across claims packages, invoice submissions, and supporting business documents, with less reliance on the sender choosing a particular format. ## **Validate Content Credentials Before Using Them as Evidence** C2PA Content Credentials can record how content was created and edited, including whether AI was used. Their value in a security decision depends on whether the credentials can be trusted. AI Content Inspector v2.4.0 checks C2PA credentials against official C2PA trust lists offline. For each file carrying credentials, it reports whether they are verified, signed by an unverified signer, have an expired signature, or are not verifiable. Analysts gain a clearer basis for distinguishing trusted provenance from a label that cannot be validated. Only trusted C2PA credentials contribute C2PA-based evidence that raises the AI score or identifies the model family. Credentials signed with test or blocked certificates no longer count as AI evidence. This helps keep untrusted provenance claims from influencing an assessment as though they were verified. The scan result also reports whether the AI vendor named in the credential matches the vendor recognized by the image detection model, giving investigators another consistency check. These checks support sensitive workflows that need local inspection without an online validation request at scan time. A verified credential establishes trust in the provenance record; it does not establish that an invoice is legitimate or that a claim should be paid. ## **Find Recorded AI Use Earlier in the Editing History** A submitted image may have passed through several editing steps before reaching an approver. AI involvement can appear earlier in that recorded history, even when the final editing step does not identify it. AI Content Inspector v2.4.0 reads C2PA edit histories to find recorded AI use in earlier steps, including for images inside Office documents and PDFs. Where that history is available, investigators can assess more of the content's origin instead of relying only on its latest recorded state. For a claims team reviewing a damage photo embedded in a PDF, that can provide relevant context before the evidence influences an estimate or payout. When credentials are absent, the engine's forensic and AI detection signals remain important to the assessment. ## **Turn Findings into Earlier Business Decisions** The broader coverage and provenance checks strengthen several common business workflows: - **Property and auto insurance claims:** Inspect submitted damage photos and supporting documents for AI-generation and fraud indicators before automated assessment or payment. Route suspicious evidence to adjusters or special investigation teams. - **Accounts payable and expense management:** Screen invoices, receipts, and supporting email submissions before payment authorization or reimbursement. Use findings to prioritize verification with the vendor or employee. - **Identity and account onboarding:** Inspect supported identity images and proof-of-address documents for synthetic-content indicators before they reach identity-verification workflows, adding evidence for KYC reviewers. - **Healthcare payment integrity:** Flag suspicious supporting images and documents for investigation before claim approval, alongside existing payment-integrity controls. AI-generated content is not automatically fraudulent. The value is in combining detection results, provenance, and business context so teams can focus review where it is most useful. ## **Match Inspection Depth to the Workflow** FAST and FORENSIC modes let your organization choose between analysis optimized for a fast response and deeper inspection suited to investigative workflows. Updated image and text models, improved document text extraction, and faster PDF processing strengthen the analysis behind those choices. Version 2.4.0 further improves scanning speed, particularly when several files are processed concurrently, while preserving verdicts. Together, these improvements help teams apply content inspection across busy intake workflows while retaining a deeper analysis option for investigations. ## **Make Review Decisions with Clearer Scan Results** Reliable automation needs to distinguish a completed check from an inconclusive or unavailable result. Recent improvements make those differences clearer: text shorter than 45 words is reported as Uncertain, and a fraud classifier that did not run is reported as not scanned. Engine and database versions are included in scan results, helping teams trace findings to the detection components used. Improved handling of email, Office documents, and image metadata reduces processing failures. In version 2.4.0, C2PA parsing runs in an isolated process so a malformed credential-bearing file cannot stop the engine. These changes help teams build review policies around the evidence actually available, including when a submission needs further investigation. ## **Add Content Authenticity to Your MetaDefender**™ **Workflow** OPSWAT AI Content Inspector adds AI-generation and document-fraud findings to existing MetaDefender™ file-inspection workflows, alongside Metascan™ Multiscanning, Deep CDR™ Technology, and Proactive DLP™ technologies. Applications can use the returned verdicts and confidence information to allow, flag, block, or route content according to organizational policy. With version 2.4.0, your organization can inspect more of the files it receives and evaluate provenance with greater context. That helps claims, finance, fraud, and security teams intervene before suspicious content drives a costly decision. Explore OPSWAT's AI Content Inspector and contact your OPSWAT representative to discuss adding or upgrading the engine in your workflow. For technical details on the published updates, [view the release notes](https://www.opswat.com/docs/mdcore/release-notes/opswat-ai-content-inspector-release-notes).