Pervaziv AI is an advanced solution designed to enhance the security of applications using AI/ML technologies. It enables users to scan, remediate, build, and deploy applications securely within multi-cloud environments, including Microsoft Azure, Google Cloud, and Amazon Web Services. The product leverages AI and machine learning models trained on an extensive database of vulnerabilities to detect and mitigate threats efficiently, thereby improving the security and performance of applications. With a range of features designed to meet industry standards and best practices, Pervaziv AI offers a robust and user-friendly solution for modern DevSecOps workflows.

The Automated Vulnerability Scanning with Agentic AI project leverages large language models to autonomously plan, execute, and report on security assessments. By integrating tools like Bandit for static analysis, Nmap for network enumeration, and CVE databases for vulnerability matching, the agent creates a step-by-step scanning workflow. It analyzes code repositories for insecure patterns, probes network ports for exposed services, correlates findings with known vulnerabilities, and generates an actionable report with risk ratings and remediation guidance. Users can customize scanning pipelines, define target scopes, and integrate results into existing CI/CD pipelines. This LLM-driven agentic framework reduces manual effort and accelerates the discovery and mitigation of security risks across applications and infrastructure.

Zenity offers AI-driven solutions for real-time visibility into cloud security risks and compliance status, enabling proactive management of cloud environments. Its features include risk assessment, compliance monitoring, and actionable insights, helping organizations to enhance their security posture and maintain compliance with industry regulations. By leveraging advanced machine learning and data analysis, Zenity empowers IT teams to identify vulnerabilities and automate compliance processes.