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Agentic AI FraudShield - Real-Time Financial Fraud Deep Investigation

HCLTech · Finance & Accounting

No attestation published

Certification per AWS Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownProfessional service
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

FraudShield is a real-time, Agentic AI-driven fraud investigation platform purpose-built to transform how financial institutions, payment providers, and high-volume transaction businesses detect, analyze, and respond to fraudulent activities.

Unlike traditional fraud detection tools that stop at flagging suspicious transactions, FraudShield dives deeper with a multi-agent AI framework that automates investigation, enhances accuracy, and delivers intelligent, compliant fraud reports.

Show the rest of the publisher’s description (17 more lines)

The system orchestrates specialized agents, each focusing on distinct tasks across the investigation lifecycle—ensuring real-time insights, reduced false positives, and improved operational efficiency.

**Key components of the FraudShield architecture include:**

  • Fraud Intelligence Agent: Continuously monitors transaction streams, applies behavioral analysis, and integrates threat intelligence to identify anomalies
  • Deep Investigation Agent: Validates suspicious transactions against historical data, user profiles, and geolocation using OpenStreetMap-based coordinates or AWS-native services
  • Customer Reporting Agent: Leverages sentiment analysis to notify customers in real-time with empathetic, tailored responses
  • Insights & Reporting Agent: Automatically generates fraud reports compliant with standards like GDPR and PCI DSS
  • Fraud Prevention Agent (Optional): Proactively identifies vulnerabilities and simulates fraud scenarios to strengthen defense

This multi-layered approach ensures that only high-risk cases are escalated, false positives are minimized, and all stakeholders—customers, compliance officers, and fraud analysts—are equipped with actionable insights.

**Target Customers:**

  • Financial Institutions: Banks, insurance companies, and digital lenders
  • Payment Providers: Gateways, processors, and mobile wallet operators
  • E-commerce & Digital Retailers: High-volume B2C platforms
  • Healthcare and Telecom: Environments with complex, transactional fraud patterns.

**AWS Services used:**

  • FraudShield is deployed on AWS using Amazon ECS, Bedrock, and other serverless components.
  • It integrates seamlessly with transactional platforms via API and is scalable to support peak transaction volumes with high availability.
  • Structured data is stored in DynamoDB, communications are handled via Amazon SES, and large-scale fraud reports are visualized and distributed securely.

Highlights

Highlighted by the publisher on AWS Marketplace.

FraudShield uses a multi-agent architecture with dedicated AI agents for transaction monitoring, behavioral analysis, deep investigation, and compliance reporting—reducing false positives and ensuring faster, more intelligent fraud decisions.

Built on scalable AWS infrastructure, FraudShield supports real-time fraud detection across high-volume platforms and generates actionable, audit-ready fraud reports that meet global compliance standards like GDPR and PCI DSS.

FraudShield streamlines the end-to-end fraud investigation process through automation, reducing manual effort, accelerating resolution timelines, and enabling cost-effective fraud operations—all while enhancing customer experience with real-time, empathetic communication.

Agent build and provenance

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Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Vendor

External enrichment · as of 2026-07-01

CompanyHCL Technologies LimitedAutomated
HQIndiaAutomated
IndustryTechnologyAutomated
Websitehttps://www.hcltech.com/

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
Professional service
For more information please reach out to awsecosystembu@hcltech.com
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