Fraud methods continuously evolve
Fraud typologies are constantly changing as fraudsters adapt to evade monitoring systems.
Organizations will often look at activity, behaviors, companies and individuals in isolation, preventing them from seeing the bigger picture that is needed to detect fraud.
Without a contextual view, you’ll face limitations on what existing monitoring systems and investigation teams can achieve in the fight against fraud.
Outsmart criminals with contextual fraud detection software
Empower your teams to see beyond a payment, transaction, claim, individual or single company. Configure your systems to more effectively distinguish between legitimate and fraudulent behaviors.
Use our Contextual Decision Intelligence platform to:
- Prioritize focus on high-risk people, businesses, channels and losses
- Identify more instances of fraud
- Automatically discount non-fraudulent events and minimize false positives
- Reduce the time for investigation or the need for investigation at all
- Reward good customers with an exceptional customer journey
increase in accuracy
scale to over 50bn records
Stop fraud in its tracks
Give your teams the context to reduce investigation time and prevent false positives.
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Enrich
your data
Combine billions of records from internal and external data sources to create a single, complete view of each individual or business.
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Create a dynamic view of relationships
Reveal the connections between people and organizations that matter most in your efforts to detect and prevent fraud.
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Build analytics models based on real-world expertise
Develop models to help automate processes and inform decisions, with context ensuring these models are explainable and transparent.
Use our platform to add context to:
Mule account fraud
Identify cases of recruited mules, account take-over and illegally obtained accounts used to disguise funds made through crimes like cybercrime and drugs.
Credit fraud
Monitor the portfolio of ongoing lending relationships for early-warning signs of bust-out fraud or changes in customer context.
Application fraud
Assess the risk of new applications for potential fraud. And automatically take account of an applicant’s connections to existing customers.
Insurance fraud
Expose connections between involved parties to protect against fraudulent claims and refuse cover if appropriate.
Tax fraud
Automate fraud detection to identify and prevent VAT carousels, tax evasion and corporate compliance issues.
Insider fraud and serveillance
Aggregate signals generated disparately across your operations to detect and prevent fraud, data leakage and unauthorized trading practices.
Procurement fraud
Explore data across the procure-to-pay process and evaluate the risks of fraud, collusion and corruption.
Fraud investigations
Rapidly assimilate case data and surface the key insights to support early case assessment and triage.
Trade finance fraud
Detect trade finance fraud earlier to prevent huge losses using contextual monitoring to reduce false positives and fraud risk.
Solution brief
How to use fraud detection software in insurance firms
See how adding context to your fraud detection approach helps you reduce fraud losses, improve customer satisfaction and decrease the risk of reputational damage.
The benefits of using CDI to detect fraud
Protect your organization, shareholders and customers against the corrosive impact of fraud.
Reduce fraud losses
Improve detection rates to flag illicit activity before money is lost.
Identify new risks
Track emerging trends and stay ahead of emergent typologies.
Reduce false positives
Discount explainable signals to allow investigators to focus on high-risk issues.
Enrich investigations with context
Gather everything you know about an individual or business, from shared identities to bank accounts and transactions.
Reveal hidden and subtle activities
Draw on a wider network instead of looking at isolated events to better understand risk.
Dedicate more time to real fraud
Identify and concentrate on high-risk issues rather than false positives.
White paper
Situational awareness of commercial customers
Find out how creating a contextual view of your customers and their networks will help you better understand them and their needs, during a time of such momentous change and upheaval.
Why use the Quantexa platform
Build once, use many,
ingest to create a single
view with networks
Apply your data to multiple use cases—without replicating data sets.
Make faster,
more accurate decisions
Use context to improve decision accuracy across the organization, find new opportunities and uncover risk.
Scale to billions of records
in batch or real time
Built on proven, scalable open source technologies like Hadoop, Spark and Elastic.
Future-proofed open architecture
Integrate seamlessly into your existing IT ecosystem, with flexible deployment options: native, or containerized for private and public cloud.
Ensure data transparency
Use explainable data linking, advanced AI and decision models for regulatory compliance.
Keep your data secure
Rely on granular security levels for dynamic control, with all activity audited.
Speedy time-to-value
Operationalize your data in a matter of months – not years.
Overcome data
quality issues
Use entity resolution and data volume to overcome missing or poor quality data.
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See how our Contextual Decision Intelligence platform prevents fraud before it happens, creates a real-time view of your customers, and reduces false positives.