This company provides a suite of AI-powered developer tools and DevSecOps solutions for securing multi-cloud environments. Their platform integrates vulnerability management, risk assessment, and package analysis directly into developer workflows. The offering includes a coding agent that generates and remediates code while enforcing security standards.
Funding
Funding not disclosed
Founders
Product
Problem
Modern applications deployed in multi-cloud environments face increasing security threats and vulnerabilities, making it difficult to efficiently identify and remediate malicious code. Traditional vulnerability detection methods often lack the speed and accuracy needed to address these challenges effectively, leading to potential security breaches and increased operational costs.
Solution
Pervaziv AI offers a platform that leverages pre-trained generative AI models to scan, remediate, build, and deploy applications with enhanced security across multi-cloud environments. The platform efficiently flags and isolates malicious code, streamlining the development process for secure deployments. By using AI-driven vulnerability detection, Pervaziv AI improves accuracy and reduces the time required to identify and fix security issues, enabling organizations to maintain a strong security posture. The platform supports cloud-native environments and integrates with industry-standard Kubernetes and Docker-based containerized applications, ensuring ease of use and portability.
Target Audience
The primary target audience includes developers, security professionals, DevOps engineers, and CISOs who need to secure applications in multi-cloud environments.
Features
- AI-powered scanning to detect vulnerabilities with improved accuracy compared to traditional methods
- Automated remediation of identified vulnerabilities using generative AI
- Support for multi-cloud deployments across Google Cloud, Microsoft Azure, and Amazon AWS
- Integration with Kubernetes and Docker for containerized applications
- Extensible and easy-to-use application build and deployment process
- Pre-trained AI models based on known malware and a large database of vulnerabilities
- Prompt optimizations for faster inferencing and improved performance