Insurance fraud investigations are becoming more complex. Claimants can carefully curate their online presence, yet publicly available information often still contains signals that contradict claim narratives. For investigators, the challenge is no longer access to information – it’s finding relevant, defensible insights quickly within vast volumes of public data.
Fivecast delivers open-source intelligence (OSINT) solutions that help insurers turn publicly available information into actionable intelligence, enabling faster, more consistent, and more efficient insurance fraud investigations.
The Growing Complexity of Modern Insurance Fraud Investigations
Today’s insurance fraud investigators and Special Investigation Units (SIUs) face unprecedented scale:
- Large volumes of open-source data
- Increasingly sophisticated fraud tactics
- Tight investigation timelines
- The need for defensible, explainable decisions
Manual OSINT collection is time consuming and inconsistent. Without automation, critical indicators can be missed, and investigations can drag on longer than necessary.
How Fivecast Uses AI-Enabled OSINT to Support Insurance Fraud Investigations
At the forefront of applied AI research, the Fivecast Data Science team develops advanced models designed specifically for investigative and risk-driven environments.
Fivecast MATRIX is a breakthrough technology that enables insurance fraud investigators to detect and assess digital risks. Purpose-built for large-scale risk assessments, this solution offers automated analysis of digital footprints using only publicly available data. This enables insurers to quickly evaluate digital risks while maintaining transparency and investigator oversight.
Key capabilities include:
- Automated OSINT workflows
- Customisable risk indicators aligned to insurance use cases
- Fast, repeatable digital footprint screening
- Clear, human-readable outputs that support decision-making
Identifying Common Insurance Fraud Patterns at Scale
Fivecast MATRIX uses customisable screening criteria, supported by generative AI, to assess public information against defined insurance fraud criteria. This allows investigators to rapidly surface patterns commonly associated with insurance fraud investigations, including:
- False or misleading claims
- Staged or fabricated incidents
- Repair-related collusion
- Exaggerated injury or loss claims
- Deceptive behaviour linked to financial gain
All findings are presented with clear context, enabling investigators to validate relevance before taking action.
Surfacing Subtle Red Flags Often Missed in Manual Reviews
Beyond obvious indicators, AI-enabled OSINT helps identify subtle inconsistencies that may be overlooked during manual searches. These can include:
- Timeline discrepancies across public sources
- Visual content that does not align with stated claims
- Repeated reuse of staged or stock imagery
- Indicators of financial stress or lifestyle misalignment
- Public links to known fraud networks
Importantly, Fivecast MATRIX highlights signals – not conclusions – ensuring investigators remain in control of assessments.
Supporting Personal Injury Claim Reviews with Contradiction Detection
In personal injury-related insurance fraud investigations, Fivecast MATRIX can draw attention to publicly observable activity that may conflict with injury narratives, such as references to:
- Travel or physical activity
- Fitness or recreational pursuits
- Work-related tasks
- Participation in social or public events
These signals are surfaced with supporting context, allowing investigators to apply professional judgment and comply with regulatory expectations.
Validated AI Models Built on Real-World OSINT Data
Fivecast’s AI models are validated against large, diverse datasets drawn from publicly available online content, including text, images, and multimodal sources. This ensures performance reflects real-world investigative conditions while maintaining strict adherence to lawful and ethical OSINT practices.
What Automated DigitalFootprint Screening Means for Investigators
By automating the most time-intensive elements of OSINT collection, Fivecast MATRIX helps transform insurance fraud investigations:
- Less manual searching
- Faster identification of relevant risk signals
- Consistent screening across claims
- Explainable outputs for audit and review
Investigators can focus on analysis and decision-making rather than information gathering.
The Result: Faster, More Defensible Insurance Fraud Investigations
With Fivecast MATRIX, insurers can:
- Identify fraudulent claims earlier
- Uncover staged incidents and coordinated behaviours
- Support decisions with defensible OSINT insights
- Reduce investigation time and operational cost
- Minimize unnecessary claim payouts
- Improve SIU and claims productivity at scale
See Fivecast MATRIX in Action
Ready to modernize your insurance fraud investigations with AI-enabled OSINT?
Book a personalized Fivecast MATRIX demo to see how automated digital footprint intelligence can enhance SIU and claims workflows.
