Application & API Testing
Comprehensive security testing across web, mobile (Android & iOS), and APIs—from the OWASP Top 10 to complex business-logic flaws.
Overview
Application and API Security Testing is a rigorous, multi-layered assessment of web applications, mobile binaries, and API architectures (REST, GraphQL, gRPC, WebSockets), moving far beyond automated vulnerability scanning to uncover deep architectural flaws, business logic abuse, Broken Object Level Authorization (BOLA), and mass assignment vulnerabilities that standard tools inherently overlook. This depth matters because modern application architectures have evolved rapidly, relying heavily on distributed microservices, APIs, cloud-native backends, and complex business logic, leaving traditional perimeter defenses largely ineffective at securing these assets. Ensuring these interfaces are secure is not only a best practice but a strict requirement for compliance frameworks like PCI DSS and RBI PA-PG.
Service Taxonomy
What does Application and API Security Testing cover?
Static Application Security Testing (SAST)
White-box analysis of source code at rest to detect insecure coding patterns, hardcoded secrets, and vulnerabilities early in the SDLC.
Dynamic Application Security Testing (DAST)
Black-box testing that simulates external attacks against a running application or API to identify runtime flaws, authentication bypasses, and injection vulnerabilities.
API Security Testing
Specialized testing for REST, GraphQL, and WebSockets, focusing heavily on object-level authorization, token replay, webhook signature gaps, and rate-limit bypasses.
Interactive Application Security Testing (IAST)
Combines SAST and DAST elements by deploying agents within the application runtime to monitor behavior and data flow for vulnerabilities in real-time.
Testing across the stack
SAST
White-box source-code analysis early in the SDLC
DAST
Black-box attacks against the running app & API
API Security
REST, GraphQL & WebSockets — BOLA, token & rate-limit abuse
IAST
Runtime agents watching behavior and data flow
Why Us
AI-Augmented Logic Abuse Discovery
While automated scanners fail at understanding business context, this service pairs elite human penetration testers with AI-assisted traffic analysis to uncover intricate business logic flaws. By utilizing advanced LLMs to analyze complex API schemas and dynamically generate highly specific fuzzing payloads, the service rapidly identifies contextual vulnerabilities. This hybrid approach excels at discovering Broken Function Level Authorization (BFLA), JWT manipulation, and GraphQL introspection abuse—flaws that represent the most critical risks to modern SaaS and financial applications, ensuring unparalleled depth and accuracy.
FAQ
Frequently Asked Questions
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