AquilaX provides an AI-powered application security platform that runs 32 parallel scanners across the entire software stack, including SAST, SCA, DAST, and IaC. Its Securitron AI engine automatically eliminates over 93% of false positives and generates validated fix patches as pull requests. This integrated approach accelerates security testing within the CI/CD pipeline, delivering comprehensive security posture analysis in under 60 seconds.
Funding
$170K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Software development teams face challenges in identifying vulnerabilities early in the development lifecycle, leading to increased security risks and potential compliance violations. Traditional application security testing often produces a high volume of false positives, wasting developer time and hindering efficient remediation.
Solution
AquilaX provides an AI-powered application security platform that automates static application security testing (SAST), software composition analysis (SCA), infrastructure as code (IaC) scanning, and secret detection. The platform's AI engine reduces false positives by automatically triaging and verifying vulnerabilities, allowing developers to focus on critical security issues. AquilaX integrates into existing development workflows through Git integration, CI/CD pipelines, and IDE plugins, enabling continuous security monitoring and compliance. The platform supports multiple deployment options, including SaaS, private cloud, and on-premises, to meet diverse organizational needs.
Target Audience
AquilaX is designed for software and security engineers, DevOps teams, and application security professionals who need to automate vulnerability detection, reduce false positives, and ensure compliance with security standards.
Features
- Static Application Security Testing (SAST) for identifying vulnerabilities in first-party code, such as SQL injection and cross-site scripting (XSS)
- Software Composition Analysis (SCA) for detecting vulnerabilities in third-party libraries and dependencies
- Secret Scanning for identifying hardcoded passwords, API keys, and access tokens
- Infrastructure as Code (IaC) scanning for identifying misconfigurations and vulnerabilities in Terraform, Kubernetes, and other YAML configurations
- Container Scanning for identifying vulnerabilities in Docker images and ensuring secure deployment environments
- AI-powered vulnerability triaging to automatically remove false positives and prioritize critical issues
- Compliance reporting for ISO 27001, SOC 2, OWASP Top 10, NIST, GDPR, and other regulatory standards
- Integration with GitHub, GitLab, Bitbucket, and other popular development tools
- Command-line interface (CLI) for seamless integration into CI/CD pipelines
- API security scanning for identifying vulnerabilities in Swagger and OpenAPI files
- Malware and backdoor scanning for detecting malicious code in first-party and third-party code
- AI-generated code scanning for identifying vulnerabilities in code generated by AI tools