RaptorX helps banks and financial institutions see and stop fraud rings before anyone else can.
RaptorX combines adaptive AI, real-time graph analytics, and deep pattern intelligence to detect known, unknown, and first-time fraud — threats that legacy systems routinely miss.
Speed doesn’t compromise clarity: every detection includes an explainable trail, enabling fraud teams to act with confidence and reduce false positives by up to 50%.
Whether it's mule account rings, synthetic identities, or payment fraud across ACH, Zelle, and cards — RaptorX is designed to keep pace with the most advanced criminal tactics.
Our edge:
Pattern‑aware AI that adapts in milliseconds.
Real‑time graph view of entities, devices, and relationships.
Explainable intelligence that analysts trust.
We partner with Tier‑1 and mid‑market banks, payment providers, and fintechs to protect what matters most: customer trust, operational efficiency, and brand integrity.
RaptorX-AI
How a Tier 1 Bank Caught a $1.2M Mule Ring in 12 Days
The activity didn’t surface through a single anomaly. It emerged from connected behavior, shared devices, overlapping identities, transaction coordination, and timing patterns that only became visible at the network level.
By analyzing entities and relationships in real time, the bank was able to detect the mule ring early, attribute risk across the network, and intervene before losses compounded.
This is what happens when detection focuses on patterns, not isolated events.
know more at raptorx(dot)ai
#FraudDetection #RiskIntelligence #GraphAI #MuleNetworks #RealTimeAI #AIinBanking #FinancialCrime
1 month ago | [YT] | 1
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RaptorX-AI
The Invisible Patterns Behind Visible Risk
Most risk doesn’t originate from a single event. It emerges from subtle, connected changes across behavior, devices, entities, and networks often invisible when viewed in isolation.
RaptorX surfaces these hidden relationships in real time, revealing how patterns form, intensify, and translate into measurable risk. This allows teams to act on structure and context, not just anomalies or thresholds.
When patterns become visible early, decisions stay timely and defensible.
Know more at raptorx.ai
#RealTimeAI #RiskIntelligence #FraudDetection #GraphAI #PatternFirst #Decisioning #AIinBanking #FinTech
1 month ago | [YT] | 0
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RaptorX-AI
We’re happy to share that RaptorXai is now PCI DSS compliant.
This milestone reinforces our commitment to building secure, enterprise-grade systems for real-time risk detection and decisioning. PCI DSS compliance ensures that our pattern-first, entity-centric intelligence operates within globally recognized payment data security standards.
Compliance is not an add on, it’s foundational to how we design, deploy, and scale real time risk infrastructure.
#PCIDSS #DataSecurity #PaymentsSecurity #RiskIntelligence #FraudDetection #EnterpriseAI #FinTech
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RaptorX-AI
How RaptorX Connects Devices to Patterns to Action
Devices are not just identifiers they are behavioral anchors. RaptorX continuously links device signals with entities, interactions, and network relationships to surface evolving risk patterns in real time.
As behaviors shift and connections densify, patterns are detected at the entity and network level and not in isolation. These live patterns directly drive decisions, enabling action while risk is still forming, not after it has stabilized.
This is how detection moves from signals to patterns to decisions without waiting for batch updates or retraining cycles.
Learn more at raptorx(dot)ai
#RealTimeAI #FraudDetection #RiskIntelligence #GraphAI #DeviceIntelligence #Decisioning #AIinBanking #FinTech
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RaptorX-AI
𝐓𝐞𝐥𝐞𝐜𝐨𝐦 𝐑𝐢𝐬𝐤 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬
• Subscription fraud driven by device reuse across multiple accounts.
• Coordinated activity spanning onboarding, usage, and payment events.
• Cross-channel behavior linking digital and physical touchpoints.
UAE
• High-frequency SIM cycling across short time windows.
• Identity reuse across accounts and devices.
• Densely connected activity across networks and operators.
India
• High-velocity SIM swaps at scale.
• Device sharing across multiple identities.
• Large, coordinated clusters exploiting rapid account creation.
While these patterns differ by region, the core challenge is consistent: risk signals evolve faster than static rules or batch-based scoring can respond.
Real time, pattern-first detection surfaces these relationships as they form enabling earlier intervention and more confident decisions.
Learn more at raptorx(dot)ai
#TelecomAI #FraudDetection #RiskIntelligence #RealTimeAI #Decisioning #AIinTelecom
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RaptorX-AI
𝐑𝐚𝐩𝐭𝐨𝐫𝐗 𝐏𝐥𝐚𝐲𝐛𝐨𝐨𝐤: 𝐏𝐥𝐮𝐠, 𝐃𝐞𝐭𝐞𝐜𝐭, 𝐃𝐞𝐜𝐢𝐝𝐞
Plug into live signals without long integration cycles.
Detect emerging patterns as entities, behaviors, and networks evolve in real time.
Decide instantly based on what is forming now, not what was labeled in the past.
This is how real time risk systems stay fast, adaptive, and decision ready.
Learn more at raptorx.ai
#RealTimeAI #RiskIntelligence #FraudDetection #GraphAI #Decisioning #AIinBanking #FinTech
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