Aptori

AI-Driven Application & API Security Testing

AI Security Testing API Testing Semantic Reasoning Technology Business Logic Testing Developer First Semantic Modeling

Tool Information

Primary Task	Software testing
Category	technology-and-development
Sub Categories	cybersecurity api-testing quality-assurance-testing vulnerability-scanning
API Available	Yes

Aptori is a developer-first, AI-Driven Application and API Security Testing tool. It uses Artificial Intelligence for business logic testing to make the testing process significantly more effective. Aptori uses semantic reasoning technology to generate a semantic model of an application's API. It then autonomously generates and executes API tests, aiming to uncover any business logic flaws in the application to help prevent security vulnerabilities. Aptori's unique offering ensures continuous risk assessment, performance testing, and ultimately releases with higher confidence. It integrates its security testing into every phase of the Software Development Life Cycle (SDLC), ensuring a secure development workflow. The tool is capable of discovering defects in applications before they make it to production. It can reduce the labor-intense task of manually creating and maintaining testing code by using its AI engine to emulate user interactions and devise API test scenarios. Additionally, Aptori actively monitors the security posture of an application across all stages of the SDLC. Through continuous API risk assessment, it ensures that applications and APIs always remain secure and compliant. Aptori uses a semantic graph to analyze an application's APIs behaviour with a goal to uncover business logic defects to prevent application vulnerabilities. All of these functionalities contribute to reducing operational costs and mitigating security risks associated with the applications and APIs.

Pros
Developer-first approach Business logic testing Semantic reasoning technology Continuous risk assessment Performance testing SDLC integration Defect discovery Reduces manual testing labor API test scenario creation Security posture monitoring Continuous API risk assessment Semantic graph for API analysis Operational cost reduction Security risk mitigation Emulates user interactions Application's APIs behaviour analysis Semantic model generation Autonomous testing Uncover business logic flaws Continuous testing Actionable vulnerability results Stateful graphing of APIs Secure high-quality software development Eliminates manual test creation Eliminates human error in testing Enhances software quality Accelerates development cycle Comprehensive code coverage Pinpoints vulnerabilities accurately Streamlines testing process Developer-first security Security integrated into code-writing Cultivates culture of shared security responsibility Capable of predicting potential vulnerabilities Effective API sequence testing Shift-left security testing Automated penetration testing Comprehensive API testing without live traffic

Cons
No threat modeling No interactive application security testing Misses syntactic defects Optimized strictly for API testing Cannot simulate human error Lack of personalized testing Inefficient for small scale applications Dependency on semantic integrity No support for mobile applications Difficult to emulate all user interactions