Karambit.AI

Karambit.AI is a software supply chain security company focused on verifying what compiled software is actually capable of doing before it reaches production. Its technology performs static analysis on binaries rather than relying on source code access, helping organizations detect cybersecurity, safety, and functionality behaviors that could introduce risk during product releases, compliance reviews, or software updates.

At the center of Karambit.AI’s approach is its Software Bill of Behaviors, which is designed to add behavioral transparency to the software supply chain. By comparing software behavior over time and highlighting intended and unintended changes, Karambit.AI helps customers validate trust in released software, identify malicious or anomalous functionality, and make deployment decisions with greater confidence.

Offerings, Capabilities, and Integrations

Karambit.AI delivers behavioral analysis for first-party and third-party software artifacts in pre-deployment workflows. Its capabilities focus on extracting and verifying behaviors directly from binaries, surfacing risky changes between releases, and identifying anomalies that may not be visible through traditional component or vulnerability-centric approaches.

The platform is designed to fit into CI/CD and adjacent validation processes, with reporting available in JSON, PDF, and API-driven formats. Karambit.AI also positions its technology to complement SBOM initiatives by adding Software Bill of Behaviors context and supports integration with security platforms and broader enterprise business processes.

Products and Services

  • Software Bill of Behaviors: Karambit.AI’s flagship behavioral analysis capability that reveals intended and unintended software behaviors, adds transparency to software components, and helps customers validate software trust before deployment.
  • Product Security: A use-case offering for product and application security teams that analyzes first-party and third-party binaries in the SDLC to detect malicious patterns, verify software trust, and reduce disruption during releases and updates.
  • Compliance: A compliance-focused offering that verifies behaviors directly from binaries, tracks functional changes across releases, and generates audit-ready reporting for regulated software environments.
  • Software Assurance: An offering for software assurance and engineering workflows that assesses functional and safety risk in the CI/CD pipeline, helps detect anomalous behaviors before shipment, and supports continuity by validating updates before deployment.

Target Customers

Karambit.AI targets organizations that need to verify software integrity without depending on source code access, especially teams responsible for product security, application security, software assurance, quality assurance, engineering validation, and compliance.

Its strongest fit is in software-intensive and regulated environments where behavioral verification affects safety, security, or certification outcomes. Examples include medical device manufacturers, enterprise software vendors and ISVs, defense industrial base and government organizations, aerospace companies, automotive manufacturers, financial services firms, healthcare organizations, and critical infrastructure operators.

Key People

  • Andrew Hendela: Co-Founder & CEO
  • Eric Lee: Co-Founder & CTO
  • Rosalie Petrone: Chief of Staff
  • Jacob Hans: Product Lead

Key Facts

  • Headquarters: Annandale, Virginia, United States
  • Employees: 11-50
  • Annual Revenue: Undisclosed
  • Parent Company: None
  • Subsidiaries: None
  • Publicly Listed: No
Karambit.AI

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