Karambit.AI acts as a defensive tool for the software supply chain, focusing on detecting malicious code injections and trojanized updates in closed-source packages. It offers a Software Bill of Behaviors (SBOB) that goes beyond a traditional Software Bill of Materials (SBOM) by predicting potential behaviors that may harm users or the system. The platform automates the detection of alterations, scales to analyze numerous applications, and validates third-party software trustworthiness. By providing comparative analysis of software behaviors over time, it highlights anomalies and identifies added capabilities that may indicate security risks. Designed without the need for source code, Karambit.AI conducts static binary analysis to detect behaviors that could evade traditional checks. It serves as a crucial tool given the rising trend in software supply chain attacks, ensuring users have foresight into potential software risks.
• automated detection of malicious modifications
• scalable analysis of applications and libraries
• flagging of malicious code injections
• static binary analysis without source code
• comparative analysis of software behaviors
• software bill of behaviors for risk assessment
An SBOB goes beyond a Software Bill of Materials by anticipating potential harmful behaviors, offering a dynamic risk assessment.
No, Karambit.AI analyzes compiled binaries without needing source code.
Karambyte focuses on static binary analysis without executing software, finding hidden behaviors that might evade observation.
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Blockchain-based ecosystem for the pharmaceutical industry with AI solutions for supply chain optimization.
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