Tool Information
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 and Cons
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
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