Pervaziv AI offers a comprehensive suite of AI-driven tools designed to enhance application security and streamline development processes across multi-cloud environments. By integrating advanced machine learning models, Pervaziv AI enables developers and security professionals to efficiently scan, remediate, build, and deploy applications with heightened security measures. The platform's capabilities extend to supporting deployments on major cloud providers, including Microsoft Azure, Google Cloud Platform, and Amazon AWS, ensuring flexibility and scalability for diverse operational needs.
Key Features and Functionality:
- AI-Powered Security Scanning: Utilizes large language models (LLMs) and custom-trained models to perform comprehensive security scans across widely used programming languages such as C/C++ and Python.
- Code Remediation: Offers AI-generated code fixes for identified vulnerabilities, enhancing code quality and security.
- Authentication and Authorization: Provides secure account management adhering to industry-standard protocols, supporting multiple user roles with customizable dashboards.
- Multi-Cloud Deployment: Facilitates application build and deployment across Microsoft Azure, Google Cloud Platform, and Amazon AWS, with support for Kubernetes clusters and cloud-native integrations.
- Vulnerability Management: Employs machine learning-based prioritization to manage vulnerabilities effectively, reducing false positives from static application security testing (SAST) tools.
- Software Composition Analysis (SCA): Performs in-depth analysis of open-source dependencies, generating Software Bill of Materials (SBOM) reports in standard formats like SPDX and CycloneDX.
- Scalability and Availability: Ensures vertical and horizontal scalability with optimized response times, offering an always-on product that operates seamlessly on web and mobile platforms.
Primary Value and User Solutions:
Pervaziv AI addresses the critical need for robust application security in the face of evolving cyber threats. By automating vulnerability detection and remediation through AI, the platform significantly reduces the time and effort required to secure applications, allowing development teams to focus on innovation. Its multi-cloud support and integration with containerized environments like Kubernetes provide the flexibility needed for modern application deployment. Additionally, features like AI-generated code remediation and comprehensive vulnerability management enhance the overall security posture of organizations, mitigating risks and ensuring compliance with industry standards.
