FluxForce + Amazon Web Services Integration
FluxForce's native integration with Amazon Web Services is currently on the roadmap, not yet available. When it ships, it will let compliance, fraud, and risk teams at financial institutions run FluxForce's AML and screening workflows directly within their own AWS environment. The result: cloud-native scalability paired with full data residency control.
What FluxForce + Amazon Web Services will enable
FluxForce's native AWS integration is on the roadmap. It's not available today. The case for building it is straightforward, and it's worth being clear about what it will unlock.
Financial institutions have invested heavily in AWS. The cloud runs core banking infrastructure, data lakes, transaction systems, and compliance tooling for banks of all sizes. What's often missing is a compliance AI layer that runs natively inside that environment, without routing sensitive transaction and customer data to a third-party cloud.
Once this integration ships, FluxForce's AML detection, Sanctions Screening, and fraud workflows will be deployable within the institution's own AWS account. Transaction signals stay inside the institution's cloud boundary. Audit logs write to AWS-managed storage. Identity for API calls flows through IAM. For institutions under data localization regulations, or with regulators who want evidence of data residency, that's not a minor point.
The integration is designed to cover the full compliance workflow: ingesting data from AWS-native sources, running multi-signal analysis, storing decision evidence in institution-controlled storage, and routing results to existing dashboards. No data copy to an external cloud. No cross-cloud latency. The institution's security controls apply throughout.
This positions FluxForce to work the way architects at regulated banks expect compliance tools to work. Inside the perimeter, not outside it.
Use cases
Real-time transaction screening at scale
Banks processing high volumes of card, wire, or ACH transactions will be able to route events directly through FluxForce's Transaction Monitoring workflows, running on AWS compute inside the institution's own region. Latency stays predictable. Data doesn't cross cloud boundaries.
KYC and onboarding checks
Institutions running onboarding pipelines on AWS will be able to trigger Customer Due Diligence and PEP Screening automatically for new applicants. Results and evidence write to S3 for audit, and the checks run synchronously within the onboarding flow without any external API call.
Continuous portfolio monitoring
Ongoing Monitoring across a large customer base is compute-intensive. On AWS, teams will be able to scale up during batch runs triggered by sanctions list updates or adverse news events, then scale back down without maintaining dedicated infrastructure. Cost follows actual workload.
SAR and CTR filing workflows
When screening flags a case, Suspicious Activity Report Filing and Currency Transaction Report Filing workflows will run in the same AWS environment. Evidence packets and draft reports write to managed storage before FinCEN submission. The complete decision trail stays in one place.
Enhanced due diligence for high-risk segments
Institutions with significant PEP or correspondent banking exposure will be able to trigger Enhanced Due Diligence and Adverse Media Screening checks from AWS event streams, with all enrichment and decision records remaining inside the institution's tenancy.
How the integration works
The planned architecture is a native AWS deployment. FluxForce's compliance components will install directly into the institution's AWS account rather than calling out to an external service. Here's the expected data flow.
Ingestion. Transaction events, customer records, and watchlist updates flow from the institution's existing AWS data stores (S3, RDS, Kinesis, DynamoDB) into FluxForce's processing layer via a native connector. Nothing leaves the institution's AWS tenancy.
Processing. FluxForce runs its multi-signal compliance analysis within the institution's compute environment. Signals from transaction monitoring, entity screening, and behavioral patterns are processed in-account, using the institution's own compute capacity.
Evidence storage. Decision records, including the complete evidence trail for each alert, write to the institution's S3 buckets or chosen data lake. This directly supports FATF Recommendation 11 record-keeping requirements. Data is stored under the institution's own encryption keys, not a vendor-managed keystore.
Identity and access. API authentication will use AWS IAM. Institutions can enforce existing least-privilege access policies without maintaining a separate credential store. This fits naturally with a Zero Trust Security posture where every call is authenticated and scoped to minimum necessary permissions.
Output. Alerts, case files, and filing-ready reports route to the institution's dashboards or case management systems via API. All of it stays inside the same AWS environment throughout.
The native deployment model means no VPN tunnel, no cross-cloud data transfer, and no separate vendor tenancy to manage. AWS documents how security responsibilities divide between AWS and the customer in its Shared Responsibility Model. The FluxForce integration is designed to sit cleanly on the customer side of that model.
How to set it up
These steps describe the expected setup process once the integration ships. Institutions interested in early access or design-partner involvement can contact the FluxForce team directly now.
Check AWS prerequisites. FluxForce will publish minimum requirements for IAM permissions, VPC configuration, and supported regions. Standard enterprise AWS accounts should meet them without significant changes.
Deploy FluxForce in your account. The integration is expected to ship via AWS Marketplace or a CloudFormation template, placing FluxForce's processing components in the institution's chosen AWS region.
Connect data sources. Configure connectors to existing transaction feeds, customer data stores, and any watchlist or sanctions data already in S3 or RDS.
Define output destinations. Specify where decision records, alerts, and evidence packets write. Typically that's S3 with versioning enabled, feeding into the institution's existing data lake or SIEM.
Configure IAM roles. FluxForce components will assume institution-defined IAM roles. Access scope stays under the institution's own control.
Validate with synthetic data. Before connecting live transaction feeds, run a validation pass using synthetic data to confirm the pipeline behaves as expected end to end.
Wire observability. Route FluxForce audit and performance logs to CloudWatch or the institution's existing observability stack.
To register interest or discuss design-partner status, reach the FluxForce team through the website contact page.
Why this integration matters for compliance teams
Data residency requirements are real and getting stricter. The European Banking Authority's Guidelines on Outsourcing Arrangements (EBA/GL/2019/02) require institutions to retain the ability to access, audit, and migrate their data independently of any cloud provider. The OCC's Bulletin 2023-17 on third-party risk management sets similar expectations for US national banks. Running FluxForce inside the institution's own AWS account makes it much easier to satisfy both.
The operational case is equally strong. Compliance workflows built on Regulatory Compliance Automation generate a lot of data: transaction events, entity records, alert histories, SAR drafts, audit logs. When all of that lives in AWS alongside core banking data, investigations are faster. Audit extraction is straightforward. There's no cross-cloud join to maintain and no vendor export request to file.
FATF Recommendation 15 asks institutions to assess the risks their AI and new technologies introduce into AML programs. An integration where models, decision evidence, and audit trails stay in the institution's own account makes that assessment tractable. The risk team can review the full decision record directly, without going through a vendor portal.
For institutions building toward AI-Powered Fraud Detection or expanded Identity Verification and KYC/AML Automation programs, having FluxForce native in AWS also simplifies future analytics work. Model performance reviews, backtesting, and feature engineering can run against the same data stores. No data copy to a separate environment needed.
The AWS integration is on the FluxForce roadmap because the demand is there. The compliance case is clear.
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