Streamline your software development by integrating advanced AI-enhanced security scans directly into your CI/CD.
Revolutionize application security by automating vulnerability management to identify, assess, and prioritize vulnerabilities.
The AI Agent identifies vulnerabilities and actively remedies them by automatically suggesting code fixes.
Aptori streamlines your software development by integrating advanced AI-enhanced security scans directly into your CI/CD.
This includes static, dynamic, semantic, and runtime analyses, allowing for comprehensive vulnerability detection from code development to live application operation.
By prioritizing and addressing vulnerabilities effectively, Aptori's AI Agent proactively secures your Applications and APIs against potential threats
Ensure that your Applications and APIs are always secure and compliant. Through continuous API risk assessment, Aptori monitors the security posture of your Application across all stages, from development to deployment.
Aptori's latest AI technology revolutionizes Application security by providing an automated solution for vulnerability management.
This intelligent system not only identifies and assesses vulnerabilities based on severity and impact but also offers strategic prioritization and root cause analysis to enhance remediation processes.
Aptori removes the labor-intensive task of manually creating and maintaining test code.
Our unique Semantic Reasoning technology harnesses the power of Artificial Intelligence (AI) to comprehend your application's API, equipping Aptori to emulate user interactions and develop API test scenarios for every possible usage pattern.
This allows autonomous application security testing to identify business logic defects before your application is deployed in a production environment.
Streamline your development process with AI that not only detects but also corrects vulnerabilities, enhancing both security and efficiency.
Aptori’s AI Agent now goes beyond identifying vulnerabilities—it actively fixes them. It automatically suggests code fixes based on its analysis, speeding up the remediation process. Developers can resolve security issues more efficiently due to the streamlined process enabled by the AI-driven analysis and solutions.
AI-Driven Test Automation helps you efficiently weave application security testing into every phase of the SDLC.
Aptori uses an AI-generated semantic model of your Application to continuously test your Application, discovering defects before they make it to production.
It enhances the process of remediating vulnerabilities by incorporating security scans—covering Cloud, Application, and API Security. Aptori not only identifies issues but also provides quick fixes to mitigate them, streamlining the entire security aspect of development.
Aptori identifies and explores the APIs of your application, creating a Semantic Model that represents your application's structure. It then examines your APIs' operations through advanced stateful graphing techniques, detecting flaws in business logic to safeguard against application vulnerabilities.
Stateful testing of API sequences ensures the business logic is exercised with meaningful inputs
Semantic model enumerates
all significant sequences to exercise
every operation
Sequence selection is optimized
by the data relationships between API operations
AI-driven testing leverages the power of Artificial Intelligence to automate and enhance the testing process. By intelligently analyzing data patterns within your codebase, AI simplifies the creation and execution of test cases, and pinpoint vulnerabilities accurately. This innovative approach expedites testing timelines, minimizes manual effort, and ensures robust, comprehensive coverage, resulting in high-quality, reliable software.
Autonomous testing is an advanced approach to software testing that employs Artificial Intelligence (AI) and Machine Learning (ML) algorithms to generate and conduct tests independently. This process eliminates the need for manual test case creation, reduces human error, and significantly accelerates testing speed. With the capability to adapt to code changes and predict potential vulnerabilities, autonomous testing ensures comprehensive code coverage, enhances software quality, and accelerates the development cycle.
A business logic vulnerability is a security flaw that exists within the functional layer of an application. Unlike technical vulnerabilities, these are not issues with the code's syntax or standard security mechanisms, but rather with the design and logic of the software itself. They often allow users to perform actions they shouldn't be able to, bypassing the intended flow or checks of the application.
Application Security Testing (AST) identifies software application vulnerabilities to prevent unauthorized access, data breaches, and other security threats.
API security testing is a method used to identify and mitigate 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.
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.
Vulnerability Assessment and Penetration Testing (VAPT) identifies system vulnerabilities and simulates real-world attacks to test defenses. It offers a holistic view of a system's security, pinpointing weaknesses and evaluating protective measures.
Automated penetration testing, often called "auto-pentesting," is a cybersecurity practice that utilizes software tools to simulate cyberattacks on a system, network, or application. Its primary objective is to identify vulnerabilities that malicious actors could exploit.
AI-Powered Risk Assessment and Remediation
Reduce Risk With Proactive Application Security
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