How does reachability reduce false positives?

Reachability tracks imports, call graphs, and entrypoints to determine whether vulnerable functions are executed. Non-reachable issues are deprioritized so your team can focus effort where it matters.

Does ScanDog generate SBOMs?

Yes. ScanDog produces SPDX and CycloneDX SBOMs for apps and containers, with provenance and change tracking for audits and customer requests.

Will upgrades break our builds?

ScanDog suggests safe upgrade paths with compatibility notes and changelog highlights. You can apply minimal diffs via PR and monitor CI results before merging.

Which package ecosystems are supported?

npm, PyPI, Maven, Go modules, crates.io, NuGet, and common OS packages in containers.

How do we adopt ScanDog SCA?

Connect your Git provider, select repositories, and run an initial scan. Enable policy gates in CI and start remediating prioritized issues with suggested patches.

Next Generation SCA, Full Visibility into Complex Dependencies and SBOMs

Q: What is Software Composition Analysis (SCA)?

SCA identifies open-source components in your software, detects known CVEs, and highlights license obligations. ScanDog enriches this with reachability to focus on vulnerabilities that are actually called by your code.

Why SCA matters and how ScanDog overcomes its limitations.

What is Software Composition Analysis (SCA)?

Software Composition Analysis automatically scans your codebase; manifests, binaries, container images, etc. to detect open-source components and their dependencies. It cross-references them against vulnerability and licensing databases to build a Software Bill of Materials (SBOM). This process surfaces security vulnerabilities, outdated libraries, and licensing risks; all before code runs.

Known vulnerabilities

Detects publicly disclosed security flaws in open-source packages and libraries.

Outdated dependencies

Flags components with newer, more secure versions available.

Transitive dependency risks

Identifies vulnerabilities buried in indirect or nested dependencies.

Unmaintained components

Warns when critical libraries are no longer updated or supported.

Dependency confusion risks

Finds packages that could be replaced by attackers via public registries.

License compliance issues

Highlights open-source licenses that may conflict with business or legal requirements.

Why SCA is Important for Application Security

Modern applications heavily rely on a web of open-source dependencies. Software Composition Analysis (SCA), detects hidden vulnerabilities and licensing risks in that supply chain before it undermines your entire security posture.

Billions of dependencies

Modern apps can be 70–90% composed of open-source code.

Security and license risks

Every component; and its nested dependencies; may harbor vulnerabilities or restrictive licenses.

Supply chain visibility

SBOMs provide a comprehensive and auditable inventory of components.

Early detection

Catch high-risk dependency issues before they reach production.

Limitations of Using SCA as a Standalone

False positives & noise
Many SCA tools flag vulnerabilities in libraries your code never actually uses, overwhelming developers.
Blind spots in custom code
SCA only covers third-party dependencies, missing vulnerabilities in your proprietary code.
Limited runtime visibility
It can't detect how dependencies behave in real environments, leaving exploitable paths unseen.
Database reliance
Results depend on public vulnerability feeds (like NVD), which are often delayed or incomplete.
License noise
Over-reporting of licensing issues without clear business context leads to friction between legal and dev teams.
Complex dependency chains
Transitive and nested dependencies make it hard to know which issues are actually exploitable.
Lack of remediation guidance
Tools highlight problems but rarely provide actionable fixes or upgrade paths.
Fragmented view
Running SCA separately from SAST, DAST, and IaC scanners forces teams to reconcile scattered reports.

Make SCA Work for You

SCA is essential for managing open-source risk, but only when it goes beyond raw alerts. ScanDog transforms dependency data into clear, prioritized actions; combining vulnerability remediation with smart license management. So you gain full supply chain visibility, fix faster, and ship software you can trust.

Scanner Deployment Tool

• Deploy SCA scanners in minutes across pipelines
• No-code setup
• Run scans on every pull request or custom frequencies
• Direct CI/CD integration

Unified AppSec Posture

• Single view of entire application security posture
• All scanners feed into one dashboard
• Eliminates blind spots
• Intuitive UX

Combine SCA with Other Scanners

• SAST: Reveals vulnerabilities in your code that interact with risky dependencies
• DAST: Validates if dependency flaws can be exploited at runtime
• IaC & PaC: Catches misconfigurations exposing vulnerable libraries in cloud
• Ties dependency risks, license obligations, and vulnerabilities together

Smart Prioritization

• Dependency reachability analysis: Shows if vulnerable libraries are actually used
• Exploitability insights: Highlights realistically exploitable flaws
• Open-source threat intelligence: Enriches CVE data with real-world exploit activity
• License awareness: Surfaces only relevant business risks
• Provides clarity on which dependencies matter and how to fix them

Remediation Dashboard

• Real-time remediation progress tracking
• Shows resolved vulnerabilities
• Identifies exposed teams
• Tracks MTTR improvements over time
• Provides accountability and acceleration

AI Fix

• AI-powered remediation engine
• Suggests secure code fixes in pull requests
• Tailored to company coding guidelines and security policies
• Reduces manual work