Binarly provides advanced binary risk intelligence for firmware and software supply chains without requiring source code access. The platform uses automated binary analysis to detect known and undisclosed vulnerabilities, malicious code, and transitive dependencies across binaries, firmware, and containers. This capability allows organizations to proactively manage risk, ensure compliance, and accelerate vulnerability resolution with high accuracy.
Funding
$14.1M 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
Organizations face challenges in identifying vulnerabilities within firmware and software components throughout their supply chain. Traditional methods often rely on source code analysis, which is not always available, leaving binaries as black boxes. This lack of visibility increases the risk of undetected malicious code, insecure dependencies, and compliance violations.
Solution
Binarly's Transparency Platform provides automated binary analysis to detect known and unknown vulnerabilities in software and firmware without requiring source code. The platform employs AI-assisted risk intelligence to analyze binary code execution, identify transitive dependencies, and detect malicious code based on behavior analysis. It goes beyond simple vulnerability mapping by identifying entire classes of defects across software, firmware, and containers with near-zero false positives. The platform integrates with CI/CD pipelines for continuous assessment and reporting, enabling proactive vulnerability management, license compliance, and cryptographic security.
Target Audience
The primary target audience includes security teams, software vendors, and device manufacturers seeking to enhance their software supply chain security and reduce the risk of firmware and software vulnerabilities.
Features
- Automated binary analysis identifies vulnerabilities without source code access.
- AI-driven risk intelligence detects known and unknown vulnerabilities, including zero-day exploits.
- Identification of transitive dependencies to map the entire software supply chain.
- Behavioral analysis detects firmware implants and other malicious code.
- Prescriptive and verified fixes facilitate rapid vulnerability resolution.
- Continuous assessment and reporting for integration with CI/CD pipelines.
- License compliance and cryptographic security checks.
- Generation of Cryptography Bills of Materials (CBOM) from binary executables.
- Real-time threat intelligence prioritization and exploitation maturity scoring.