Zenyard provides an AI-powered reverse engineering platform that helps security teams analyze and secure third-party software, from open-source packages to complex binaries. The platform combines deep code verification with direct vulnerability remediation, enabling teams to understand what software actually does and fix issues without waiting for vendors. Its purpose-built AI agent handles entire binaries, including malware analysis and anti-forensic behavior detection.
Funding
Funding not disclosed
Founders
Product
Problem
Development teams increasingly rely on third-party software—packages, dependencies, and complex binaries—but lack reliable ways to verify what that code actually does. Generic AI tools and manual reverse engineering methods are slow, error-prone, and often fail on large or obfuscated files, leaving teams unable to confidently assess security risks or remediate vulnerabilities in code they didn't write.
Solution
Zenyard offers an AI-first reverse engineering platform that analyzes complete binaries and codebases with high accuracy, going beyond labels and reputation to determine what software truly does. The platform's purpose-built AI agent, developed by experienced reverse engineers, handles huge files and complex codebases without hitting LLM limits, providing explainable insights grounded in full context. Zenyard also enables direct remediation of CVEs without waiting for vendors or upgrading entire packages, allowing teams to fix vulnerabilities in third-party code immediately. The platform is designed to augment human researchers, not replace them, delivering productivity gains while maintaining transparency and accuracy in security analysis.
Target Audience
Primary customers are security researchers, reverse engineers, and development teams who need to verify and secure third-party software, including open-source components and complex binaries, across development and production environments.
Features
- AI agent that analyzes entire binaries and codebases, not just snippets, with consistent accuracy and explainability
- Deep verification capabilities that reveal actual software behavior beyond labels and reputation
- Direct CVE remediation without vendor dependency or full package upgrades
- Handles huge files and complex codebases without hitting LLM context limits
- Purpose-built for reverse engineering workflows, including malware analysis with anti-forensic behavior detection
- Capable of identifying protocol invariants, cryptographic layers, and anti-analysis techniques in real-world samples