Aptori utilizes AI-driven semantic reasoning technology to conduct static, dynamic, and semantic scans of software, identifying vulnerabilities and generating automated fixes to enhance application security. By integrating these security measures into the CI/CD pipeline, Aptori enables developers to rapidly release secure software while minimizing the risk of business logic flaws and other vulnerabilities.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional application security testing methods often fail to detect business logic vulnerabilities and runtime misconfigurations, leading to potential security breaches and data compromises. Manual creation and maintenance of test code is labor-intensive and costly, hindering efficient vulnerability management. Existing tools often generate numerous false positives, making it difficult for developers to prioritize and address critical vulnerabilities effectively.
Solution
Aptori provides an AI-driven application security platform that automates vulnerability detection and remediation across the entire software development lifecycle. Using Semantic Reasoning Technology, Aptori creates a semantic model of applications and APIs to identify business logic flaws and runtime misconfigurations. The platform integrates AI-enhanced security scans directly into the CI/CD pipeline, enabling continuous risk assessment and proactive vulnerability management. Aptori's AI Agent suggests code fixes, streamlines the remediation process, and ensures applications and APIs remain secure and compliant.
Target Audience
Aptori is designed for development and security teams, CISOs, and application security engineers seeking to reduce risk, accelerate secure releases, and ensure continuous compliance.
Features
- AI-driven semantic scans for comprehensive vulnerability detection, including static, dynamic, and runtime analyses
- Automated code analysis and fix suggestions to accelerate the remediation process
- Continuous API security testing to identify business logic flaws, injection vectors, and misconfigurations
- Integration with CI/CD pipelines for automated security testing in every phase of the SDLC
- Real-time vulnerability detection and AI-powered fix suggestions within the IDE
- Compliance automation with continuous control monitoring and automated evidence collection for PCI DSS, SOC 2, HIPAA, and more
- Semantic Modeling for Application & API Risk Testing (SMART) to map data flows, control paths, and authentication logic
- Automated issue triage to evaluate each vulnerability for severity and implications