In today’s fast-moving digital landscape, insurers face a growing threat: synthetic fraud powered by AI.

From fake car damage photos to deepfake video inspections and doctored documents, fraud is getting harder to detect—and more expensive to ignore. At the same time, carriers are under pressure to accelerate claims and underwriting, reduce manual touchpoints, and improve customer experience.

That’s where automated media fraud and deepfake detection delivers game-changing value.

Turns out there are more benefits for automated media fraud protection than meets the eye. Here are five major cost-saving opportunities for insurers:

1. Cut Fraud Losses with AI-Powered Media Analysis

Insurance fraud costs the U.S. industry over $300 billion per year, with image and video-based fraud playing an increasing role—especially in auto, property, and healthcare claims.

Using advanced, automated detection tools, insurers can:

• Flag AI-generated or manipulated media

• Detect screen-recorded or replayed video submissions

• Prevent fraudulent claims from ever entering the payout cycle

Savings Impact: Fewer fraudulent payouts and more favorable loss ratios.

2. Reduce Manual Review Costs for Claims & Underwriting

Traditional fraud review processes require human adjusters or underwriters to manually inspect claim photos, videos, and documents—often leading to slow processing times and inconsistent evaluations.

With automated fraud detection:

• AI scans media instantly for authenticity anomalies

• Forensics can surface manipulation artifacts invisible to the naked eye

• Confidence scores help triage what needs escalation

Savings Impact: Lower labor costs, faster processing, and fewer errors or escalations.

3. Unlock Straight-Through Claims Processing

Straight-through processing (STP) is the holy grail for insurers—handling claims without manual intervention.

But unreliable or fraudulent media submissions are a major blocker.

By integrating validation APIs into your FNOL workflow, you can:

• Instantly assess the authenticity of incoming evidence

• Trust the media used to automate decision-making

• Drive auto-approval for valid claims

Savings Impact: Streamlined claims resolution, improved customer experience, and fewer backlogs.

4. Enable Self-Service Claims & Underwriting with Confidence

Self-service models reduce costs, but they also increase the risk of fraudulent submissions when there’s no in-person verification.

Attestiv empowers secure self-service by:

• Validating media from mobile apps and web portals in real time

• Flagging risky submissions before they hit the queue

• Enhancing customer trust through transparent checks

Savings Impact: Shift labor-intensive processes to digital self-service—without compromising risk management.

5. Improve SIU Efficiency with Intelligent Triage

Special Investigations Units (SIUs) are critical to combating complex fraud. But with increasing case volumes, they need smarter tools to prioritize their time.

Attestiv helps SIUs by:

• Automatically surfacing media-based red flags

• Providing forensic reports to accelerate investigations

• Identifying organized fraud patterns via repeat submission analysis

Savings Impact: More effective SIU teams, better case outcomes, and proactive fraud mitigation.

Preview Your Savings with Attestiv’s ROI Calculator

Want to know how much you could save?

Try our interactive ROI Calculator and estimate your potential savings from fraud reduction, labor efficiency, and automation:

With the rise of AI-generated fraud, media authenticity is no longer optional—it’s foundational to your bottom line.