Next Generation SBOM, Transparency Without the Overwhelm

Why SBOM matters and how ScanDog overcomes it's limitations

SBOM visualization

What Is an SBOM?

A Software Bill of Materials (SBOM) is a formal record that lists all components in a piece of software—including open-source libraries, third-party packages, and transitive dependencies. Think of it as an 'ingredient list' for your applications: it shows what's inside, where it came from, and what risks it may carry. SBOMs are quickly becoming a cornerstone of modern software security and compliance practices.

Known Vulnerabilities (CVEs)

Maps every component in your software against public vulnerability databases to catch exploitable flaws.

Hidden Transitive Dependencies

Reveals vulnerabilities buried in nested or indirect libraries often missed by standard scans.

Outdated or Unpatched Components

Flags libraries and packages that are behind on security updates or no longer maintained.

Malicious or Compromised Packages

Detects dependencies introduced through typosquatting or malicious injections in the supply chain.

Third-Party & Vendor Risks

Exposes vulnerabilities inside vendor-supplied software by making their dependency trees transparent.

License Compliance Risks

Identifies open-source licenses (GPL, AGPL, etc.) that may conflict with your business or legal obligations.

Why SBOM Matters for Application Security

Modern applications are built on a complex web of open-source and third-party components, and without full visibility, hidden risks can slip through unnoticed. SBOMs matter for application security because they provide a complete inventory of what's inside your software—enabling faster vulnerability detection, stronger compliance, and greater supply chain trust.

Full Supply Chain Visibility

An SBOM provides a complete inventory of all components, dependencies, and libraries in your software.

Identify Vulnerabilities Faster

By mapping every component to known CVEs, SBOMs help teams quickly locate and remediate risks.

Expose Hidden Dependencies

SBOMs reveal transitive and nested libraries that often carry unnoticed vulnerabilities.

Improve Incident Response

When a new zero-day (like Log4Shell) is disclosed, SBOMs let you instantly see if you're affected.

Enable Compliance & Trust

SBOMs are becoming a regulatory requirement (e.g., US Executive Order 14028) and prove to customers that your software is transparent and secure.

Strengthen Third-Party Risk Management

SBOMs clarify what's inside vendor software, reducing blind spots from external providers.

Limitations of Using SBOMs Alone

  • Static by default

    SBOMs capture a snapshot but can quickly become outdated without continuous monitoring.

  • Overwhelming detail

    Large dependency trees can generate complex, hard-to-use inventories.

  • No prioritization

    An SBOM alone lists components but doesn't tell you which vulnerabilities are critical.

  • Compliance burden

    Generating SBOMs manually is time-consuming and error-prone.

  • Fragmented visibility

    Separate SBOMs for each service or container make it difficult to get a unified view.

How ScanDog Works with SBOM

ScanDog automatically generates and manages Software Bills of Materials across your applications, containers, and dependencies. Our platform enriches raw SBOM data with vulnerability intelligence, license context, and exploitability insights—turning static inventories into actionable security roadmaps. With a unified dashboard, you gain full supply chain transparency without slowing development.

Unified SBOM Across Scanners

• Correlate SBOM data with SCA, SAST, and IaC scans
• Eliminate security silos
• Build end-to-end security picture
• Integrate multiple scanner outputs

Automated SBOM Generation

• Generate SBOMs automatically from code
• Continuous updates with every build
• Container and pipeline integration
• Keep SBOMs current and accurate

Smart Prioritization

• Enrich SBOMs with reachability analysis
• Add exploitability context
• Include real-time threat intelligence
• Focus on critical risks first

Layer-Aware Analysis

• Prioritize base image vs custom layer issues
• Flag only exploitable vulnerabilities
• Map findings to real-world attacks
• Reduce noise in security findings

AI-Powered Fix Guidance

• Get inline remediation suggestions
• Replace insecure base images
• Fix Dockerfile misconfigurations
• Receive fixes in pull requests

Unified Remediation Dashboard

• Track findings across all scan types
• Monitor real-time issue resolution
• Assign clear issue ownership
• Generate compliance reports
• View progress by registry/environment

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