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Reimagining Software Supply Chain Security with AI Agents

May 16, 2025

The modern software supply chain is massive, dynamic, and constantly under threat. Traditional tools and processes are no longer enough to keep pace with the complexity, speed, and scale of today’s software ecosystems.

At Lineaje, we’re building a future where software can self-secure — continuously assessing itself, making informed decisions, and applying fixes with minimal human intervention. That future is powered by our AI Agentic Framework.

A Foundation Built on Comprehensive, Real-World Data

The strength of the Lineaje AI Agentic Framework begins with its expansive data foundation, continuously enriched by billions of signals gathered from across the software ecosystem, including:

  • Open-Source Packages and Repositories: Extensive data from public sources (e.g. Docker Hub, GitHub) and popular package managers (e.g., npm, PyPI, Maven) that drive precise component identification, dependency mapping, and risk modeling.
  • Comprehensive Scanning: Robust scanning of all open-source packages, capturing more than 100 attributes per package and dependency. Leveraging both open-source and proprietary scanning technologies, Lineaje ensures unparalleled visibility and deep contextual understanding. visibility and context.
  • Vulnerability Intelligence: Continuous ingestion from leading vulnerability databases (e.g., NVD, OSV, MITRE) and security advisories, offering timely insights on known vulnerabilities, exploitability details, severity assessments, and recommended mitigation actions.
  • Real-Time Threat Intelligence: Live threat feeds that track active exploits, zero-day vulnerabilities, and adversarial tactics, enabling prioritization of fixes based on real-world threats.

This continuously expanding data foundation empowers Lineaje’s agents to make accurate, context-driven decisions at every stage—from initial discovery to effective remediation.

The Agentic Workflow: Discover. Plan. Fix.

Lineaje’s agents are organized into a powerful flow designed to streamline and automate the entire security lifecycle:

1. Discover & Assess

AI agents begin by identifying every component in your software — across all environments and stages. They assess:

  • What’s in your code and what it depends on
  • Which components are vulnerable or non-compliant
  • Whether components are authentic, trusted, and untampered

This stage gives organizations complete visibility into their software supply chain — including risks you didn’t even know existed.

2. Planning

Once the landscape is understood, planning agents figure out the best path forward. They evaluate:

  • Compatibility – Can a component be safely upgraded?
  • Build Stability – Will it cause breakage or downtime?
  • Policy Fit – Does the replacement meet enterprise policy requirements?

These agents generate clear, actionable plans — turning overwhelming vulnerability lists into prioritized, risk-aware remediation plans.

3. Fix

Fix agents execute planned actions, automating remediation by:

  • Applying recommended fixes directly into code and container images
  • Automating workflows to seamlessly integrate security fixes into existing development processes
  • Validating applied fixes to ensure no regressions or new vulnerabilities are introduced

This approach transforms remediation from a manual burden into an efficient, automated process and accelerates fixes, reducing developer friction and significantly improving security posture.

How It Works:Continuous Learning and Intelligent Automation

At the core of the Lineaje AI Agentic Framework are two essential capabilities:

Continuous Learning

The system continually learns from user actions, past remediation outcomes, and evolving threat intelligence. Every interaction enriches its knowledge, enabling agents to become smarter and more accurate in detection, prioritization, and remediation over time.

Intelligent Automation

Agents work together, guided by intelligent orchestration, automating actions according to defined policies and risk levels. This flexible automation allows remediation tasks to be performed autonomously or collaboratively with developers, ensuring efficiency and scalability across all your software projects.

See how AI agents are redefining software supply chain security—from discovery to automated remediation.

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