Uncover complex logic flaws 3× faster, reducing breach risk.
Automated tests and AI fixes shrink the security backlog
Stay audit-ready for PCI DSS 4.0, HIPAA, NIST, and ISO—no more surprises.
Surface security feedback directly in IDE and CI, accelerating fixes in real time.
Shift-left API protection with autonomous, semantic-AI powered tests. In an era of AI-generated code and rapid CI/CD, traditional scanners fall short. Aptori brings security to the source—modeling your APIs, generating targeted abuse-case tests, and automating real-time detection and remediation of IDOR, BOLA, RBAC/ABAC, and more.
Automated scans uncover business-logic flaws, detect potential sensitive-data leaks, and provide comprehensive coverage of the OWASP API Top 10, BOLA, IDOR, CWEs, and more.
OWASP API Top 10, BOLA, IDOR, RBAC/ABAC, CVEs & custom business-logic rules—all in one pass.
Spin up thousands of targeted abuse scenarios in seconds—no scripting required.
Plug into GitHub, GitLab, Bitbucket, or Azure Pipelines to test every pull request automatically.
Empower developers, uncover real risk, and automate what matters. Aptori’s AI Security Engineer uses semantic reasoning to model your APIs, generate targeted abuse-case tests, and run them continuously in CI/CD—detecting and remediating IDOR, BOLA, RBAC/ABAC and other vulnerabilities in real time while ensuring compliance (PCI DSS 4.0, HIPAA, NIST).
Crawl your OpenAPI spec or live endpoints to build a comprehensive API graph—capturing every path, parameter, and policy.
Apply AI-driven semantic analysis to simulate real-world usage and uncover complex business-logic abuse scenarios.
Autonomously create targeted tests—covering IDOR, BOLA, RBAC/ABAC, and custom rules—and run them continuously in CI/CD.
Deliver prioritized findings with step-by-step AI-generated fix suggestions, ensuring swift resolution and compliance.
API security testing is a method used to identify potential security vulnerabilities in Application Programming Interfaces (APIs). It involves examining the API from a security perspective to ascertain if it is safe from malicious attacks and can protect sensitive data from unauthorized access or manipulation.
API security testing brings tremendous benefits by ensuring your data's safety and integrity. It helps identify and remedy potential vulnerabilities, guarding against attacks that could lead to data breaches.
Shift-Left security testing is a proactive approach to software security that integrates testing measures early and throughout the development lifecycle. "Shift-Left" signifies the movement of security considerations toward the initiation stage. It promotes "building security in" from the beginning, resulting in safer, more secure software. It fosters a culture of shared responsibility for security.
Developer-first security proactively integrates security protocols into the software development process from the onset, replacing the notion of security as an afterthought. This strategy ingrains security considerations into the code-writing phase, empowering developers to champion the safety of their code and cultivating a culture of shared security responsibility.
Shift-Left testing proactively integrates security at the early stages of development, allowing early detection and mitigation of vulnerabilities. Conversely, Shift-Right extends security into post-production, involving real-time monitoring and testing under real-world conditions to ensure resilience and rapid response to security issues. The optimal strategy is a comprehensive "Shift Everywhere" approach, embedding security from initial design to post-production.
Semantic Testing leverages the power of Artificial Intelligence (AI) to understand your API, allowing Aptori to mimic user behavior and formulate test scenarios for all conceivable API usage sequences. This empowers developers to scrutinize and pinpoint flaws in the application's business logic prior to its production release. The key advantage of semantic testing lies in its ability to generate test scenarios without examining live traffic, guaranteeing comprehensive testing of all APIs and ensuring no vulnerabilities exist before release.
The key advantage of AI-driven semantic testing lies in its ability to generate test scenarios without examining live traffic, guaranteeing comprehensive testing of all APIs and ensuring all business logic defects and vulnerabilities in the API are fixed before they are launched into production.
API Risk Assessment evaluates the security vulnerabilities and potential threats associated with an Application Programming Interface (API). The aim is to identify weaknesses that could be exploited, ensuring the API is secure and reliable. This assessment is crucial for safeguarding data and maintaining the integrity of applications that rely on the API.
API security refers to the practices and technologies that safeguard APIs against exploitation. It involves protecting application programming interfaces from unauthorized access, misuse, or malicious attacks to ensure data privacy and system integrity.
Aptori’s fuzzing engine intelligently mutates inputs based on your API schema to uncover unexpected behavior and vulnerabilities.
We simulate token generation and abuse scenarios across OAuth 2.0 grant types, detecting weak scopes and misconfigurations.
Yes—our semantic model tracks resource identifiers and access controls end-to-end to find and exploit insecure direct object references.
SMART (Semantic Modeling for Application & API Risk Testing) uses AI to map your entire stack—data flows, control paths, and authentication logic—into a live, stateful model. It then exercises every meaningful path to detect business logic vulnerabilities and runtime misconfigurations.
Finds flaws static and dynamic scanners miss.
Context-aware path selection minimizes false positives
Prioritize based on real exploitability, not just severity.
Proprietary graph-based engine delivers results in real time.
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