Amazon Web Services × MarketMind

AWS documents API Gateway as a fully managed service for creating, publishing, maintaining, monitoring and securing APIs at scale.

Exposes managed REST, HTTP and WebSocket APIs, handling request routing, authorisation, throttling and integration with backend compute.

Provide the external intake boundary through which a third-party platform could submit a transaction request containing asset, participant, timing, location, financial, insurance and verification context.

API Gateway transports and secures requests. It does not define which transaction variables matter or what control consequences they carry.

AWS documents EventBridge as a serverless event bus that receives events from AWS services, SaaS applications and custom applications and routes them to targets using rules.

Ingests events, applies rule-based filtering and pattern matching, and delivers matched events to downstream targets. It also supports scheduled events.

Carry MarketMind transaction events and route them to the control workflow relevant to the event type and transaction state.

EventBridge routes events. It does not itself provide the MarketMind transaction-governance logic that determines which events are transaction-significant or what the resulting control action should be.

AWS documents Step Functions as a visual workflow service for orchestrating distributed applications and business processes as state machines, including branching, wait states, error handling and retries.

Coordinates multiple services into ordered, stateful workflows with defined states, transitions, timeouts and failure paths.

Express the MarketMind transaction lifecycle as an explicit state machine, including exception branches such as dispute, damage, late return, failed verification, insurance event and manual review.

Step Functions provides workflow orchestration. The states, transition conditions and control semantics of a transaction-governance architecture are not supplied by the service itself.

AWS documents Lambda as a serverless compute service that runs code in response to events without provisioning or managing servers.

Executes discrete functions on event invocation, scaling automatically with request volume.

Execute discrete MarketMind control functions — for example risk calculation, bond calculation, eligibility evaluation, timing verification, penalty application, location evaluation and settlement-eligibility determination.

Lambda executes code. The control functions, their inputs and their relationship to transaction state are MarketMind architecture, not AWS functionality.

AWS documents Amazon SQS as a fully managed message queuing service that lets you decouple and scale microservices, distributed systems and serverless applications.

Buffers messages between producers and consumers so downstream components can process work reliably and asynchronously.

Decouple transaction-control components where payment events, damage verification, insurance claims, asset telemetry, settlement instructions or notifications require reliable asynchronous handling.

Queueing provides delivery reliability. It does not determine the transaction consequences of a message.

AWS documents Amazon Cognito as a service providing authentication, authorization and user management for web and mobile applications.

Authenticates application users and issues tokens for downstream authorisation.

Authenticate participants and operators before transaction or asset-access permissions are evaluated.

Authentication infrastructure establishes who a user is. It is not MarketMind behavioural risk assessment and should not be described as such.

AWS documents Verified Permissions as a service for fine-grained authorization and permissions management for custom applications, using the Cedar policy language.

Evaluates policy-based authorization decisions for application resources.

Express fine-grained transaction or asset-access permissions where enterprise deployment requires policy-based authorisation.

Policy evaluation governs access rights. It does not perform transaction conditioning, risk evaluation or settlement control.

AWS documents AWS IoT Core as a managed service that lets connected devices interact securely with cloud applications and other devices, including message routing to AWS services.

Ingests device telemetry at scale and routes device messages to downstream AWS services through rules.

Provide connected-asset input — location, asset health, mileage, fuel, engine data, sensor events, condition and usage — as MarketMind transaction events.

IoT Core transports device data. Whether a telemetry reading constitutes a transaction-significant event is MarketMind control logic.

AWS documents SageMaker AI as a fully managed service for building, training and deploying machine learning models.

Hosts model development, training and inference endpoints.

Host predictive models such as late-return probability, damage probability, dispute probability, transaction reliability, asset risk and behavioural risk, where MarketMind defines the model purpose and its control effect.

SageMaker is infrastructure for hosting or implementing models. It does not inherently provide MarketMind risk models or their transaction-conditioning relationships.

AWS documents Amazon Bedrock as a fully managed service offering foundation models through a single API, together with capabilities for building generative AI applications and agents.

Provides managed access to foundation models and agent orchestration capabilities.

Support higher-order decision assistance — interpreting complex transaction context, analysing multiple risk signals, determining escalation pathways, recommending transaction conditions, coordinating human review and generating reasoning records.

AI capability must remain subordinate to defined transaction-control policy. Unrestricted autonomous financial decisioning is not contemplated, and Bedrock does not supply MarketMind decision policy.

AWS documents CloudWatch as a monitoring and observability service collecting metrics, logs and events for AWS resources and applications.

Captures operational telemetry, logs and alarms.

Provide operational visibility into event history, workflow execution, control decisions and errors.

Observability records system behaviour. It does not itself constitute a transaction-governance audit model.

AWS documents CloudTrail as a service that records actions taken in an AWS account, providing an event history of account activity.

Records API and administrative activity for governance and audit purposes.

Support reviewability of administrative actions affecting a deployed transaction-control environment.

CloudTrail records account activity, not the business reasoning behind a transaction-control decision.