BOLA / Account Takeover Cross-Service Auth Drift Cashback & Reward Exploitation Replay & Idempotency Failures Replay & Duplicate Payment Exploits GraphQL Field Exposure Shadow API Exposure Fraud-Driven API Chaining Webhook Manipulation Release-Level Auth Drift BOLA / Account Takeover Cross-Service Auth Drift Cashback & Reward Exploitation Replay & Idempotency Failures Replay & Duplicate Payment Exploits GraphQL Field Exposure Shadow API Exposure Fraud-Driven API Chaining Webhook Manipulation Release-Level Auth Drift

E-Commerce Platforms

Protecting Every
E-Commerce Workflow
Before It Ships

In modern e-commerce, every purchase journey is an API workflow.
Apiezy validates promotion logic, checkout integrity, refund workflows, and authorization boundaries — across distributed commerce systems — before production.

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Attack Vectors
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Production Exposure
CI/CD
Integrated Testing
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Shift-Left Enforcement
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In Modern E-Commerce

Every Customer
Action is an API

Product catalog is an API
Cart services are APIs
Promotion engines are APIs
Payment gateways are APIs
Loyalty & rewards are APIs
Refund & return systems are APIs
Capability Gap

Where Traditional Tools Fall Short

Multi-step Workflow SequencingSAST and DAST cannot validate stateful, cross-service flows
Cross-Service Authorization IntegrityToken trust boundaries break silently between microservices
Economic Logic EnforcementBusiness-rule exploits use valid credentials — scanners are blind
Fraud-Driven API ChainingEach API call looks legitimate; combined, they're exploitative
Real-World Failure Patterns

09 Attack Vectors
Apiezy Eliminates

Fintech security risk lives in multi-step, stateful workflows — not just individual endpoints.

01
BOLA

Coupon Stacking & Promotion Abuse

Apiezy Prevention
  • Systematic cross-user identity substitution testing
  • Object ownership enforcement validation
  • Role-based access consistency across services
  • Authorization drift detection across endpoints
Ownership violations caught in CI/CD before exposure
02
Auth Drift

Checkout Workflow Bypass

Apiezy Prevention
  • Token scope (aud, iss, scope, role) across services
  • Trust-boundary transition simulation
  • Implicit trust detection between microservices
  • Distributed authorization integrity testing
Authorization drift identified before release
03
Economic Abuse

Cashback & Reward Exploitation

Apiezy Prevention
  • Multi-step workflow simulation and abuse modeling
  • State transitions across transactions validated
  • Reward eligibility enforcement testing
  • Circular transaction pattern detection
Economic logic abuse caught in pre-production
04
Replay Attack

Replay & Idempotency Failures

Apiezy Prevention
  • Replay attempts with modified headers tested
  • Duplicate transaction submission validation
  • Idempotency key reuse scenario coverage
  • Timestamp and nonce validation logic
Replay vulnerabilities found before financial loss
05
Workflow Bypass

Replay & Duplicate Payment Exploits

Apiezy Prevention
  • Valid workflow chain identification
  • Out-of-order API execution attempts
  • Precondition enforcement testing
  • Mandatory state transition validation
Workflow bypass fails during pre-production testing
06
GraphQL

Cross-User Data Exposure (BOLA)

Apiezy Prevention
  • Field-level access control testing
  • Cross-role query simulation
  • Unauthorized data exposure identification
  • Composite leakage via nested query detection
Sensitive financial fields protected before release
07
Shadow API

Loyalty & Wallet Abuse

Apiezy Prevention
  • Traffic-based attack surface discovery
  • Schema drift detection
  • Undocumented endpoint identification
  • Inventory validation across environments
Shadow APIs found in staging — not after breach
08
Partner Risk

Partner Integration & Webhook Manipulation

Apiezy Prevention
  • Webhook signature enforcement validation
  • Replay protection testing
  • Partner-domain trust validation
  • Cross-service state reconciliation
Partner-based abuse vectors mitigated pre-production
09
Release Risk

Release-Level Authorization Drift in Commerce

Apiezy Prevention
  • Release-over-release trust grading
  • Authorization behavior comparison between builds
  • Newly introduced exposure detection
  • Regression integrity validation
Trust degradation detected before deployment
Capability Gap Analysis

Why Traditional Tools Miss
What Apiezy Catches

SAST

Identifies static code patterns and syntax vulnerabilities at the source level.

Cannot prove runtime ownership or sequencing correctness

DAST

Probes endpoints for known injection and exposure patterns.

Requires manual scripting for identity-aware workflow simulation

Runtime API Security

Detects anomalies and monitors live API traffic patterns.

Detects only after exposure begins; depends on tuning signals

Observability / APM

Shows performance, traces, and service health across systems.

Shows performance and traces — not exploitability

Core Capabilities

What Makes Apiezy
Fundamentally Different

A workflow-intent enforcement engine — not a vulnerability scanner.

Stateful Workflow ModelingEnd-to-end multi-step financial workflow simulation across services
Cross-User Identity SubstitutionSystematic BOLA detection across all user and role combinations
Cross-Service Token Scope ValidationTrust boundary integrity across distributed microservice environments
Economic Abuse SimulationBusiness-rule exploit modeling including cashback and reward stacking
Replay & Idempotency EnforcementTransaction-state correctness validation under replay and concurrency
CI/CD Pre-Production EnforcementAutomated trust grading integrated directly into your release pipeline
GraphQL Resolver ValidationField-level and cross-role authorization testing for GraphQL APIs
Multi-Step Exploit Chain SimulationComposite fraud workflow detection across chained API calls
Release-Level Trust GradingRegression integrity analysis comparing authorization behavior across builds
Strategic Value

Built for Every
Financial Decision-Maker

For CTO
Reduce logic-level production escapes across microservices
Improve secure release velocity without slowing CI/CD
Lower regression risk across distributed financial workflows
For CISO
Strengthen controls aligned to MITRE ATT&CK techniques
Reduce business-logic attack surface systematically
Improve audit confidence with pre-production evidence
For CFO
Reduce direct fraud exposure from economic abuse vectors
Lower manual security validation cost through automation
Reduce emergency remediation overhead post-breach
Executive Summary

In modern e-commerce platforms, security is no longer just about blocking malicious input — it's about continuously validating that financial workflows, authorization boundaries, and business logic behave exactly as intended across distributed services.

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