PRODUCT INTELLIGENCE APPSEC

Checkmarx
Application security platform

Checkmarx One

A shared scan platform whose dependency resolution must match your builds

Checkmarx One is a commercial platform spanning application security testing and posture management. The vendor describes static and dynamic testing, composition analysis, infrastructure as code, containers, secrets, application programming interface checks, malicious-package detection, and ASPM analytics, with Developer Assist for the authoring loop.

01 / EDITORIAL JUDGMENT

The Atlas take.

Checkmarx One puts several application-security scanners behind shared project and reporting workflows. Its SCA documentation is particularly useful for understanding the distinction between identifying packaged files and resolving dependencies through package managers. Atlas analysis: this is a strong evaluation candidate when a program wants coordinated source and dependency work, provided the real build ecosystem is represented. Do not assess the platform by a scan count alone. Confirm what each selected engine analyzed, which private repositories it reached, and how unresolved dependencies or partial scans affect the apparent risk picture.

Our interpretation of the cited evidence. Independent hands-on effectiveness remains unassessed.

02 / DEFINE THE BOUNDARY

What you are actually evaluating.

Source-upload versus air-gap deployment, Fusion or hybrid engine accuracy on the local stack, and whether ASPM can land analytics without locking to Checkmarx scanners are buyer tests. Documentation describes ASPM as a landing analytics surface rather than a replacement engine.

Names you may encounter Checkmarx Developer Assist. Historical names do not establish current feature equivalence.

03 / THE CONTROL PATH

Where it sits. How it works.

Atlas architecture interpretation: follow the actual artifact through the selected analysis engine and back to an owned development decision.

Conceptual architecture Atlas interpretation · verify the proposed configuration
  1. 01

    Source and dependency context

    Repository contents and package-manager access describe the application under assessment.

  2. 02

    Checkmarx scan engines

    Selected scanners analyze source, dependencies, or other entitled security surfaces.

  3. 03

    Project reports and triage

    Findings return to application owners for validation, policy, and remediation.

04 / WHAT EARNS ITS PLACE

Strengths, with the evidence attached.

Atlas analysis of documented capabilities; availability and behavior depend on the edition and environment.

01

A documented project workflow

The platform defines project creation, scanning, review, and aggregate results as distinct steps.

02

SCA describes its discovery methods

Documentation distinguishes file analysis and dependency resolution, helping teams inspect why a component appears.

Inspect the documented capability notes
  • Static, dynamic, composition, infrastructure-as-code, container, secrets, and application-programming-interface testing in one commercial platform.
  • Malicious-package detection alongside conventional composition analysis.
  • ASPM analytics and Developer Assist feedback in the authoring and review loop.

05 / KNOW THE COMPROMISES

The tradeoffs to take seriously.

Architectural implications and procurement questions from Atlas; these are not independently measured product failures.

Cloud data flow depends on scan route

The SCA FAQ explains different submission and resolver paths; review the chosen route against source-data requirements.

Coverage is engine-specific

Atlas analysis: selecting one scanner or uploading one archive does not prove every application surface received equivalent analysis.

06 / FROM PURCHASE TO PRACTICE

Make it work in your environment.

A proposed implementation sequence. Confirm supported versions, permissions, and rollback with the current documentation.

  1. 01

    Map the scanner plan

    Choose engines for each application and record exclusions and supported ecosystems.

  2. 02

    Resolve representative dependencies

    Include private registries, transitive packages, and the build runner used for releases.

  3. 03

    Define actionable gates

    Agree finding ownership, severity policy, incomplete-scan handling, and approved exception expiry.

07 / THE OPERATING COMMITMENT

The bill is only part of the cost.

Commercial shape

Quote each intended scanner and governance capability with deployment and integration requirements attached.

  • Purchased engines and application scope
  • Repository and resolver integration work
  • Triage and centralized governance needs
AFTER GO-LIVE

What your team owns

Project definitions, scanner selection, repository permissions, and resolver configuration need ownership. Atlas analysis: private package registries and monorepos are good pilot cases. Security should agree which incomplete scans fail a pipeline and which remain advisory, rather than allowing missing data to appear as a clean security result.

Confirm the full order form: modules, usage meters, support, retention, and exit costs. A public price is not your complete operating estimate.

08 / COMPARE THE JOB

Put these beside it.

Alternatives worth examining for the same problem. Check each offering’s scope before treating it as a substitute.

Open a comparison workspace ↗

09 / MAKE THE DECISION OBSERVABLE

Earn confidence through a real evaluation.

Suggested by Atlas. Agree acceptance criteria, use synthetic fixtures in an authorized environment, and capture both useful work and failed controls.

  1. TEST 01

    Prove dependency resolution

    Acceptance evidence: Compare the resolved graph with the application lockfile and private package source.

  2. TEST 02

    Check a source defect path

    Acceptance evidence: Retain the reported data flow, exact code revision, and owner validation.

  3. TEST 03

    Exercise a partial scan

    Acceptance evidence: Remove a lab dependency credential and verify the pipeline exposes incomplete coverage rather than a false clean state.

START WITH ONE EXERCISE

Point entitled Checkmarx One engines at a lab repository with a supported injection flaw, vulnerable dependency, and approved nonfunctional secret test pattern or configured synthetic rule. Use a deployment and data flow documented for the selected product and permitted by local policy.

Evidence to look for: Applicable engines report the supported test cases or document a coverage limitation. Secret-validity checks and unsupported patterns are distinguished from missed detections, and findings retain their originating engine and owner without production scanning.

Questions to bring to the vendor
  1. Can source stay in-region or air-gapped, and what must still be uploaded?
  2. How accurate are Fusion or hybrid engines on this stack compared with individual engines?
  3. Does ASPM accept non-Checkmarx scanners without forcing a rip-and-replace?
Take the evaluation brief with you ↓

10 / SHOW THE WORK

Evidence, and what is still unknown.

What this research cannot establish

  • No independent finding-accuracy or developer-effort test was conducted.
  • Language support and source-data flow must be checked for each selected engine.

Dossier research reviewed October 18, 2026. Earlier profile references are retained for traceability; products and commercial terms change.

  1. Checkmarx One application security platform ↗Earlier profile reference
  2. Checkmarx documentation navigation ↗Earlier profile reference
  3. Checkmarx One workflow ↗Documentation
  4. SCA scanner methods ↗Documentation
  5. SCA architecture and data FAQ ↗Documentation

KEEP BUILDING YOUR JUDGMENT

Understand the system around the tool.

Read the APPSEC field guide ↗

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