FossID has launched Agentic SCA to bring real-time open-source licence, vulnerability, copyright, and SBOM checks directly into AI-assisted coding workflows, helping enterprises enforce compliance and reduce software supply chain risk at the moment code is created.
FossID has unveiled Agentic SCA, a new software composition analysis layer purpose-built for AI-driven software development, marking a major shift in how open-source compliance is enforced within modern coding workflows.
Designed for an era where AI tools increasingly generate and modify code from fragmented sources, the new capability embeds real-time identification of open-source, third-party, and proprietary code directly into the development process, including whole files and snippet-level generated or copied code.
The system automatically flags licence obligations, mixed-licence conflicts, copyright exposure, known vulnerabilities, and remediation pathways, enabling developers and AI agents to make compliant decisions before code is committed.
By moving compliance checks upstream, FossID shifts OSS governance from delayed post-build reviews to continuous policy enforcement at code creation itself, significantly improving SBOM accuracy and continuous software supply chain visibility as code evolves.
Agentic SCA also transforms software audits through signature scanning, snippet detection, dependency analysis, deep licence and copyright review, and structured shareable reports, while its MCP Server, Skills, and Hooks architecture makes FossID’s audit intelligence directly accessible to AI agents.
The platform is already in pilot with enterprise users across automotive, semiconductor, telecom, and software, with broader availability expected in H2 2026.
“Agentic SCA represents the next evolution of software composition analysis,” said Stuart Dross, CEO, FossID. “In this AI-driven world, software supply chain integrity has to be continuous, real-time, and built into how code gets created. That’s exactly what we’re enabling.”
