Privya offers a centralized platform that analyzes the entire AI supply chain, including source code, models, and third-party dependencies, to identify security vulnerabilities and compliance issues before deployment. This proactive approach eliminates runtime monitoring overhead and ensures organizations maintain regulatory readiness while protecting sensitive data throughout the development process.
Funding
$6M 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
AI systems are vulnerable to security threats and compliance issues throughout their lifecycle, including risks embedded in source code, models, third-party dependencies, and training data. Traditional runtime monitoring solutions introduce performance overhead and operational complexity, often failing to detect vulnerabilities early in the development process. Organizations need a proactive approach to identify and mitigate risks across the entire AI supply chain before deployment.
Solution
Privya offers an AI Security Posture Management (AI-SPM) platform that analyzes the complete AI supply chain, from source code to models and third-party components, to identify security vulnerabilities, compliance gaps, and hidden attack vectors. By scanning AI code, notebooks, and development artifacts, Privya enables proactive risk detection and remediation early in the development lifecycle, eliminating the need for runtime monitoring. The platform generates an AI Bill of Materials (BOM), maps data flows, and validates security controls with every code change, providing comprehensive visibility and continuous security validation. Privya integrates seamlessly with existing development tools and workflows, empowering security, AI development, and compliance teams to ship secure AI applications with confidence.
Target Audience
Privya targets security teams, AI development teams, compliance teams, data professionals, privacy professionals, and cybersecurity professionals who are responsible for securing AI systems and ensuring compliance with regulations such as the EU AI Act and NIST AI RMF.
Features
- Automated generation of AI Bill of Materials (BOM) for comprehensive inventory of AI components
- Static code analysis to detect vulnerabilities, exposed secrets, and compliance issues in AI code and notebooks
- Supply chain intelligence to map dependencies and track security posture across the AI ecosystem
- Continuous security validation to validate security controls and compliance requirements with every code change
- Risk-based insights to prioritize security issues based on potential impact
- Developer-first integration with Colab, Jupyter, GitHub, GitLab, and major CI/CD platforms