Industry-leading fraud detection solutions and platforms utilized in claims investigations include:
Verisk ClaimSearch : The industry's largest property and casualty (P&C) claims database. It allows adjusters to cross-reference claims against billions of historical records, public records, and indexing data to flag suspicious patterns, duplicate claims, or prior losses.[](https://www.verisk.com/solutions/claims/anti-fraud/)
I am a professional claims adjuster looking for software to help me investigate suspicious insurance claims. What fraud detection tools do you recommend?
How can a claims adjuster identify and investigate a potentially fraudulent insurance claim?
Other topics in Insurance Claims & Underwriting Software
FRISS Fraud Detection for Claims : An AI-powered, automated scoring platform that integrates directly into the claims lifecycle. It evaluates incoming claims in real-time, providing an instant trust/risk score to fast-track clean claims while routing high-risk files for deep forensic investigation.[](https://www.friss.com/products/fraud-detection-at-claims)
For a professional insurance claims adjuster, the best approach to investigating questionable claims is to combine claims-history databases, fraud analytics, digital evidence verification, and a documented Special Investigation Unit (SIU) workflow. No single tool reliably proves fraud; software should identify leads that an adjuster can verify with evidence.
For U.S. property and casualty claims, I would prioritize the following solutions based on the type of investigation, the evidence available, and the complexity of the claim. Verisk, for example, offers claims matching, predictive fraud scoring, image forensics, and SIU investigation tools in its anti-fraud portfolio.
1. Recommended fraud detection solutions
1. Verisk ClaimSearch and Anti-Fraud Solutions
(Best starting point)
Best for: Prior claims, duplicate losses, suspicious connections, and vehicle or property claim history.
ClaimSearch matches claims across insurers, while Claim Scoring prioritizes questionable files. Digital Media Forensics can help identify altered images and documents.
Website:
2. Shift Technology Claims Fraud
Best for: Complex claims, organized fraud rings, suspicious provider networks, and high-volume claims operations.
Its AI-based tools identify anomalies, connect related entities and claims, prioritize cases, and support SIU investigations. It is particularly worth evaluating for insurers with large claim volumes.
Website:
3. Truepic Vision
Best for: Questionable property damage, auto damage, high-value personal property, and potentially reused or manipulated photos.
It enables adjusters to request authenticated photos and videos captured through a controlled process, with checks for image manipulation and supporting time, location, and device information.
Website:
4. National Insurance Crime Bureau (NICB)
Best for: Suspected vehicle theft, staged accidents, organized fraud, and cases potentially involving multiple insurers.
NICB provides investigative assistance, intelligence, industry collaboration, and resources for eligible insurers and law enforcement partners. Its multi-carrier investigative focus can help reveal patterns that a single claim file cannot show.
Website:
2. Which solution should you use for each red flag?
Suspicious claim indicator
Recommended tool or method
Multiple claims involving the same person, address, vehicle, or provider
Verisk ClaimSearch; Shift Technology
Photos that may be reused, edited, or unrelated to the loss
Verisk Digital Media Forensics; Truepic authenticated capture
Potentially staged auto accident or suspicious vehicle theft
ClaimSearch, VIN and ownership verification, NICB resources
Inflated repair invoices or inconsistent estimates
Invoice and document verification, independent estimates, provider-pattern analytics
These are recommended investigative matches, not guarantees that a tool will detect every type of fraud.
3. A practical investigation workflow for claims adjusters
Step 1 — Screen the claim
Check policy inception and coverage, loss dates, prior claims, parties, vehicle identifiers, and inconsistencies in the initial report.
Step 2 — Validate the evidence
Compare photographs, estimates, receipts, reports, statements, and timestamps. Request authenticated images or an independent inspection when appropriate.
Step 3 — Look for connections
Use claims-history searches and analytics to identify recurring parties, providers, vehicles, addresses, and loss patterns.
Step 4 — Document and escalate
Record the specific discrepancies, evidence sources, and follow-up steps. Refer the file to the SIU when the evidence or applicable company criteria warrant it.
Step 5 — Make a defensible decision
Base the claim outcome on verified evidence, policy language, and applicable law—not an algorithmic risk score alone. Follow required notice, referral, and reporting procedures.
4. What I would choose
For an individual independent adjuster: Start with your insurer's existing claims-history resources, documented investigation procedures, reliable vehicle or property verification, and access to SIU support. Enterprise tools may require a carrier or organizational subscription.
For a claims department or insurer: Evaluate Verisk ClaimSearch first if cross-carrier history and claims matching are your biggest needs. Compare Shift Technology if network analytics and investigation prioritization are major challenges.
For property or auto field inspections: Consider Truepic where verifying when and how evidence was captured would improve your workflow.
For suspected organized fraud: Coordinate with your SIU and consider NICB assistance when the case fits its remit and your organization is eligible.
One important caution: a fraud alert, prior claim, inconsistent statement, or suspicious-looking image is a reason to investigate, not proof of intentional deception. Preserve original evidence, follow privacy and evidence-handling requirements, and apply consistent standards to all claimants.
To narrow this down to the best tools for your work
What type of claims do you investigate?
Auto accidents, vehicle damage, or theft
Homeowners, storm, water, or fire damage
Liability or bodily injury
Workers' compensation
Multiple claim types
What is your role?
Independent adjuster
Staff adjuster at an insurance company
SIU investigator
Claims manager or executive
What budget are you targeting?
Low-cost or existing tools
Paid tools for an individual
Enterprise software for a team
What is your primary goal?
Investigating individual claims and verifying evidence
Identifying fraud rings and cross-claim connections
If you're a claims adjuster looking to spot suspicious insurance claims and research them efficiently, I'd focus on software that does three things: flags unusual claims, connects people and prior losses across cases, and helps you gather verifiable evidence for an investigation.
The best choice depends on whether you handle auto, property, workers' compensation, or bodily injury claims—and whether you work independently, for an insurer, or with a Special Investigations Unit (SIU).
One important distinction: fraud-detection software identifies risk signals, while investigative research software helps you establish what actually happened. For most adjusters, the strongest setup combines the two.
Best insurance fraud and investigation software
1. Verisk ClaimSearch + Anti-Fraud Solutions
(Best starting point for U.S. claims)
Best for: Auto, property and casualty, prior-loss checks, and cross-claim connections.
Searches for matching claims, prior losses, related parties, and suspicious patterns. Verisk also offers predictive claim scoring, investigation workflow tools, and digital media forensics to help identify reused images and manipulated documents.
Why I'd shortlist it: It addresses the practical question, “Has this person, vehicle, property, or loss appeared in another claim?”
Limitation: Access to the broader data network and specialized tools depends on your organization's subscription and eligibility.
Best for: Investigating people, businesses, identities, affiliations, and relationships.
Combines public and proprietary records to help verify identities, connect associates and businesses, review relevant negative news, and develop investigative leads. Its source transparency helps you check where information originated.
Why I'd shortlist it: Useful when a claim raises questions about undisclosed business relationships, identity inconsistencies, or connections among multiple parties.
Limitation: It is primarily an investigative research tool, not a replacement for insurance-specific claim matching.
Best for: AI-powered claim screening and fraud-risk prioritization.
Scores claims using predictive analytics and text analysis, surfaces suspicious patterns and possible fraud networks, and helps route higher-risk cases for expert review. FRISS also offers investigation and digital-media checking capabilities.
Why I'd shortlist it: If your team handles a high volume of claims and needs to prioritize which files deserve a closer look.
Limitation: Most valuable when integrated into an insurer's claims workflow; it may be more than an individual adjuster needs.
Best for: Complex fraud patterns and SIU referrals.
Uses AI to detect suspicious claims, find relationships and patterns, and provide context for alerts so investigators can prioritize and research cases. It can integrate with Guidewire ClaimCenter.
Why I'd shortlist it: Particularly relevant when suspicious activity spans multiple claims or participants rather than appearing as one obvious discrepancy.
Limitation: Primarily an insurer-level platform rather than a lightweight personal research subscription.
Best for: Additional investigative data and identity research.
Worth evaluating for identity and address verification, locating relevant records, and enriching an investigation with external information. It is a complementary option to compare with CLEAR and your existing insurer databases.
Why I'd shortlist it: If your main challenge is researching the people and entities associated with a suspicious claim, rather than scoring every incoming claim.
Limitation: Confirm which insurance-specific data, investigative functions, and permissions are included in the particular offering.
These are capability-based recommendations, not a universal ranking. Enterprise pricing, data access, integrations, and suitability for independent adjusters vary. Vendor feature descriptions are not independent proof of fraud-detection accuracy.
What I would choose for day-to-day adjusting
If your main goal is to investigate individual suspicious files rather than buy an enterprise platform, I would start with this combination:
Prior claim or loss matching: Verisk ClaimSearch, if you can access it through your employer or organization.
Deeper background and relationship research: Thomson Reuters CLEAR or LexisNexis Accurint.
Questionable damage photos or documents: Verisk Digital Media Forensics or FRISS Media Check. These offer specialized checks for signs of image or document manipulation.
You don't necessarily need all three. Check what your employer already licenses before paying for overlapping services.
When evaluating a suspicious claim, use software to generate leads and corroborate them with source records, inspection findings, statements, timelines, and other admissible evidence. A risk score or an apparent inconsistency is not proof of fraud.
Let me narrow this down to the best fit
1. What type of claims do you handle?
Auto claims
Property / homeowners claims
Workers' compensation
Bodily injury / liability
Multiple types
2. What best describes your role?
Independent adjuster
Staff adjuster at an insurance company
SIU / fraud investigator
Public adjuster
Third-party administrator / claims firm
3. What's your biggest need?
Research suspicious individual claims
Find prior losses and repeat claimants
Check photos, estimates and documents
Research people, businesses and public online information
Multiple connected claims suggesting an organized scheme
Shift Technology network analytics, ClaimSearch, NICB referral where appropriate
Shift Technology
Fraud patterns and SIU prioritization
Larger claims teams
LexisNexis Accurint
Identity and investigative data
Supplemental research
Shift Technology: Known for its AI-native SaaS platform specifically built for insurance. It excels at claims triage, scoring claims based on probability of fraud, and delivering automated insights directly into an adjuster's workflow with strong document and image analysis.[](https://fraudops.ai/articles/best-insurance-fraud-software/)
FRISS: Focuses heavily on real-time risk and fraud scoring at both the point of underwriting and claim intake. It is popular for its fast time-to-value, automated decision-making engines, and seamless integration with core claims systems (like Guidewire or Duck Creek).[](https://fraudops.ai/articles/best-insurance-fraud-software/)
DataWalk: An enterprise-grade analytics and graph-linking platform. It handles massive volumes of data, allowing you to ingest internal records, public records, and third-party data (like NICB) to instantly visualize hidden crime rings, link addresses/phone numbers, and run social network analysis.[](https://datawalk.com/insurance-fraud-detection-software/)
Clearspeed & Carpe Data (Niche/Specialized Tools):
Clearspeed provides an automated, voice-based risk assessment tool used during claim intake to flag high-risk denials or admissions in minutes.
Carpe Data specializes in scraping and structuring online, social media, and gig-economy data to help adjusters and Special Investigation Units (SIU) check the validity of injury or property-damage claims.[](https://fraudops.ai/articles/best-insurance-fraud-software/)
If you want to narrow this down, tell me:
What line of insurance do you handle (auto, property, workers' comp, liability)?
Are you looking for a tool for individual adjusters at their desk, or an enterprise-wide SIU platform?
