Data Theorem launched Supply Chain Secure, the industry’s first attack surface management (ASM) product to address software supply chain security threats across the application full-stack of APIs, cloud services, SDKs, and open source software. Data Theorem uniquely identifies third-party vulnerabilities across the application software stack with continuous runtime analysis and dynamic inventory discovery that goes beyond traditional source code static analysis approaches and processing of software bill of materials (SBOMs).
High-profile security breaches such as SolarWinds, Kaseya, and Apache Log4j demonstrated the widespread damage that can occur for enterprise supply chains if third-party APIs, cloud services, SDKs, and open-source software have security flaws, which allow hackers to infiltrate systems, initiate malicious attacks, and extract sensitive data. These headlining hacks expose coverage gaps found in traditional static code analysis tools and the lack of security insights in most vendor management programs.
According to Gartner®, “Seventy-two percent of business professionals expect their third-party networks to expand moderately or significantly in the next three years.”1 Gartner in another report stated that, “By 2025, 45 percent of organizations worldwide will have experienced attacks on their software supply chain, a three-fold increase from 2021.”2
Current software supply chain security approaches have focused on either vendor management or software composition analysis (SCA). However, these approaches often lack source code access for mobile, web, cloud, and commercial-off-the-shelf (COTS) software, as well as third-party API services. While neither approach can perform continuous runtime security monitoring, now with Data Theorem’s Supply Chain Secure product organizations can benefit from a full-stack attack surface management (ASM) solution that delivers continuous third-party application asset discovery and dynamic tracking of third-party vendors. Data Theorem’s new supply chain product can automatically categorize assets under known vendors, allow customers to add additional new vendors, curate individual assets under any vendor, and alert on increases in policy violations and high embed rates of third-party vendors within key applications. These automated capabilities allow vendor management teams to remedy supply chain security problems faster and easier.
Doug Dooley, Chief Operations Officer at Data Theorem, said, “While other software supply chain security approaches have emerged, no solution uses full-stack application runtime analysis and dynamic inventory discovery to support the challenges around vendor management,” “Data Theorem’s Analyzer Engine with attack surface management (ASM) enables organizations to conduct continuous, automated security inspection with application telemetry collection. This allows customers to have a better handle on the third-party software supply chain assets and exposures within their vendors, suppliers, and their own software stacks.”