Manipulated Image Detection AI for Insurance
Inaza’s Altered Image Detection Model automatically identifies digitally manipulated or tampered images, helping insurers reduce fraudulent claims and ensure claim authenticity.
The Cost of Fraudulent Claims
10-20%
Of all P&C claims are fraudulent.
$308 Billion
The amount paid out on fraudulent claims in the US each year.
Valued Outcomes for Teams
Detect Manipulated Images & Prevent Fraud
What value does Inaza's AI Image Manipulation Detection model provide to the various teams in Insurance?
Underwriting Teams
Better Risk Assessment – Stop altered images from impacting how you assess risk and underwrite policies.
Fraud Prevention – Identify images that have been altered to hide pre-existing damage or commercial vehicle markers.
Claims
Teams
Instant Image Fraud Detection – Identify manipulated or edited claim photos before payouts.
Reduce Payout Errors – Prevents fraudulent claims from slipping through manual reviews.
Fraud & SIU Teams
Advanced Tampering Detection – Flags images with AI-driven forensic analysis.
Automated Alerts for Suspicious Claims – Ensures high-risk claims receive extra scrutiny.
Key Capabilites
Smarter Detection, Built for Real-World Fraud
Image fraud is getting smarter. Manual image review simply doesn't cut it anymore. Inaza's fraudulent image detection allows you to out-smart even the most advanced of fraudsters and catch altered images before they impact your bottom-line.
Visual Manipulation Detection
Detect pixel-level manipulation including cloning, splicing, lighting inconsistencies, and compression artifacts. Perfect for identidying photoshopped or digitally editted images.
Metadata Anomaly Analysis
Inspect file properties and hidden data for red flags: timestamp mismatches, device ID swaps, GPS coordinates, inconsistent file structures, and re-exported PDFs.
AI Generation Detection
Distinguish genuine images from AI-generated fabrications. The model identifies synthetic textures, image irregularities, and metadata artifacts unique to genAI-created or altered images.
Contextual Consistency
Identify inconsistencies between the image content and the provided context such as weather, time, location, or narrative details.
Threshold tuning & explainable scoring
Adjust detection sensitivity to align with your fraud tolerance. Every score includes clear indicators, confidence levels, and visual evidence so compliance and SIU teams can defend each decision.
How to Use Inaza Central
From Problem to Solution in Minutes - not months.
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Find Your Solution
Select the Fraudulent Image Detection Solution
Browse and test solutions based on your needs - whether it’s claims fraud, underwriting cleanup, or fleet submission automation. All tools are transparent, tunable, and instantly testable.
Win in Minutes
Deploy Into your Workflows
When you're ready to go live, Inaza Central provides fully documented, production-grade APIs for every solution. Whether you're automating invoice validation, underwriting data ingestion, or claims triage - everything is available in a format your developers can implement in hours, not weeks.
UI Sandbox
API Dcos
How It Works
How AI-Powered Altered Image Detection Works
Inaza’s Altered Image Detection Model provides insurers with a seamless, automated way to verify image authenticity.
Automate application intake, data validation, and risk assessment to onboard customers faster and more accurately. Inaza ensures no premium leakage from incomplete data or misapplied discounts, giving you a competitive edge in a demanding market.
Image Metadata & Pixel Analysis
Scans image metadata and pixel patterns to detect anomalies or alterations.
AI-Powered Cross Checking
Compares submitted images against past records to identify inconsistencies.
Real-Time Fraud Flagging Alerts
Automatically flags suspect images for further investigation.
Instant Claims & UW Integration
Works within existing, Underwriting, FNOL and claims systems to enhance fraud detection without disrupting workflows.
Seamless Integrations
Zero-lift integrations with your existing tools and data sources. Maximize the AI's potential using your knowledge bases, APIs, and workflows
What customers are saying
I've been using TaskNexus for the past six months, and it has completely transformed the way my team and I manage our projects. The intuitive interface makes it easy to organize tasks and set priorities.
Lassy Chester
Art Director
The collaborative workspaces are a game-changer, allowing us to seamlessly assign tasks and share files. Real-time progress tracking and detailed analytics have helped us stay on top of our deadlines and optimize our workflow.
Sarah Jonson
Head of Partnership
The customizable workflows and integrated calendar have helped me stay organized and never miss a deadline.
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Front-end developer