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How SIU Teams Can Search Video Evidence for Fraud Patterns

SIU teams can search video evidence for fraud patterns by uploading surveillance footage, claimant videos, and scene recordings to Cutsio and using visual search to identify inconsistencies across claims.

How can SIU teams search video evidence for fraud patterns?

SIU teams can search video evidence for fraud patterns by uploading surveillance footage, claimant videos, and scene recordings to Cutsio and using visual search to identify inconsistencies across claims. Instead of reviewing each video in isolation and relying on manual notes to connect cases, investigators can search across every video in their caseload for matching vehicles, people, methods, and locations.

Insurance fraud is a visual crime. Fraudulent claims often involve staged accidents, exaggerated injuries, fake property damage, and coordinated schemes that span multiple claims and multiple claimants. The visual evidence — surveillance footage, claimant-submitted videos, scene recordings, and third-party footage — contains the patterns that reveal fraud. But finding those patterns requires connecting evidence across claims, which traditional review methods make nearly impossible.

Why is video fraud detection traditionally so difficult for SIU teams?

Video fraud detection is difficult because the evidence is scattered across individual claim files. An SIU investigator reviewing a suspicious auto claim watches the dashcam footage, notes the vehicle descriptions, and documents the claimant's behavior. Two weeks later, a second suspicious claim comes in. The investigator must remember the details from the first claim or search through case notes to find a connection.

For organized fraud rings involving multiple claimants, the connection problem is even worse. A ring staging accidents at a specific intersection uses different claimants, different vehicles, and different insurance carriers. Each claim is investigated separately. No single investigator sees the full pattern unless someone manually connects the dots across carriers — which rarely happens.

The visual nature of fraud evidence makes it particularly hard to connect. Written notes can describe "a white sedan" or "a person in a red shirt," but written descriptions miss the visual details that distinguish one white sedan from another. Two claims involving white sedans at the same intersection might be connected — or they might be unrelated. The investigator cannot know without reviewing the actual footage from both claims side by side.

Cutsio eliminates this by making all video evidence searchable across claims. An investigator uploads surveillance footage from every suspicious claim into a single Collection. Searching for "white sedan near intersection of Main and 5th" returns every matching vehicle from every claim. For more on the search workflow, read our guide to AI video analysis for insurance claims.

How does Cutsio help SIU teams find fraud patterns across claims?

Cutsio's cross-claim search capability allows SIU teams to search across every video in their investigation caseload simultaneously. Upload surveillance footage, claimant-submitted videos, and scene recordings from multiple claims into a single Investigation Collection. Search across all of them at once.

| Fraud Pattern | What to Search | What Cutsio Finds |

|---|---|---|

| Staged accident — same intersection | "intersection of 5th and Main" | Every claim at that location |

| Organized ring — same vehicle | "white sedan with roof rack" | Same vehicle across multiple claims |

| Exaggerated injury — same claimant | "person walking normally" | Claimant behavior before and after |

| Fake property damage — same method | "water stain on ceiling" | Similar damage across properties |

| Multiple claimants — same scene | "group of people near intersection" | Coordination evidence |

Searching for "white sedan with roof rack near entrance" across the Investigation Collection returns every claim where that vehicle appears. If the same vehicle appears in 3 different claims with 3 different claimants, the pattern suggests a staged accident ring.

For claimant credibility assessment, the investigator searches for the claimant across multiple claims. "Person in blue jacket claiming injury" returns every video where that person appears. If the claimant is seen walking normally in one video but claiming severe injury in another, the inconsistency is documented.

For property fraud, the investigator searches across multiple property claims. "Water stain on ceiling in master bedroom" returns every claim with similar water damage. If multiple claims from different policyholders show the same type of damage with the same visual characteristics, the pattern may indicate fraudulent contractors manufacturing damage.

How do SIU investigators compile fraud evidence across claims?

Once fraud patterns are identified, the investigator compiles the evidence into a case package. Cutsio's compilation feature allows investigators to select clips from multiple claims and arrange them in a single timeline. The compiled timeline shows the fraud pattern visually — the same vehicle appearing in multiple claims, the same claimant exhibiting inconsistent behavior, or the same damage method across different properties.

For organized fraud rings, the compilation includes clips from every claim showing the common elements. A staged accident ring compilation shows the intersection, the vehicles involved, and the claimants from each incident. The side-by-side comparison demonstrates the pattern more effectively than written reports.

For claimant fraud, the compilation shows the claimant's behavior before and after the claimed injury. The timeline documents the inconsistency between the claimant's activities and their claimed limitations.

The compiled evidence is shared with law enforcement through secure share links with password protection and view tracking. The investigating officer reviews the evidence and determines whether to pursue charges. For more on building evidence packages, read our guide to creating a claim evidence timeline from photos and videos.

How do you implement video fraud detection in an SIU workflow?

Implementing video fraud detection requires creating a centralized investigation Collection structure. Each SIU investigator has an Investigation Collection containing every video from their active caseload. When a new suspicious claim comes in, the investigator uploads the video evidence and searches the existing Collection for matches.

For multi-investigator teams, a shared Collection contains every video from every investigator's caseload. Searching the shared Collection reveals patterns that individual investigators would miss. Investigator A has a claim involving a white sedan at an intersection. Investigator B has a claim involving a white sedan at the same intersection. Neither knows about the other's case until the shared Collection reveals the match.

For cross-carrier fraud detection, SIU teams can share a Collection with investigators from other carriers. The shared Collection contains only the relevant video evidence — no claimant names, no policy numbers, no confidential information. Investigators search the shared Collection for matching vehicles, locations, and methods. When a match is found, the carriers coordinate their investigations.

How does per-minute pricing make video fraud detection practical for SIU teams?

SIU teams typically investigate 5 to 15 claims per month, each generating 30 to 90 minutes of video evidence. The Studio plan at $249 per month provides 150 hours of storage — enough for a full caseload of video evidence with room for archival. No per-case fees, no per-investigator seat costs.

FAQ

Can Cutsio detect fraud automatically?

Cutsio indexes footage and makes it searchable. It does not automatically flag fraudulent patterns. Investigators search for specific patterns based on their expertise.

Can I search for the same vehicle across different claims?

Yes. Upload surveillance or scene footage from multiple claims into a single Collection. Search for the vehicle description and Cutsio returns every match from every claim.

How do I share fraud evidence with law enforcement?

Generate a secure share link with password protection. Send the link to the investigating officer. View tracking confirms when the evidence has been reviewed.

Can Cutsio handle surveillance footage from third-party investigators?

Yes. Upload footage from any source in any standard video format. Third-party surveillance, claimant-submitted videos, and scene recordings are all supported.