A Salesforce release can pass code scanning and still expose data through metadata, sharing settings, or declarative configuration. That mismatch creates deployment risk for DevOps engineers and audit exposure for compliance teams. Checkmarx and Black Duck are AST leaders built for general-purpose application security, not for Salesforce's metadata-driven architecture.

This article breaks down the documented capabilities of each tool against Salesforce requirements. DevOps engineers and compliance managers will see where each tool delivers value, where both fall short, and what an effective Salesforce security approach requires.

Where Checkmarx and Black Duck Differ for Salesforce

Checkmarx covers more documented Salesforce code scanning than Black Duck, which matters when teams need documented Apex support. Neither tool was built to secure Salesforce metadata, runtime configuration, or deployment governance. The comparison below covers language support, scanning methodology, and analyst positioning relevant to Salesforce environments.

Scanning methodology

Checkmarx is a SAST-primary platform. It expanded to include SCA, DAST, and API security within Checkmarx One. Its core engine employs deep data flow analysis across multiple files and frameworks. Apex support is explicitly listed as a supported language. The documentation also covers Visualforce, Lightning Aura, and Lightning Web Components.

Black Duck is an SCA platform. SAST capability for Apex exists only through Polaris. That capability is documented in a Polaris KB rather than official product documentation. Black Duck's core strength is open-source dependency management, covering over 10 million projects.

Salesforce ecosystem role

Checkmarx has a documented role in the Salesforce ISV ecosystem. It serves as the underlying engine for AppExchange reviews. The reviewed sources do not show official Black Duck documentation for AppExchange workflows or SFDX package structures. They also do not show coverage for Salesforce metadata deployments.

Analyst positioning

Both tools hold Leader positions in the 2025 Gartner Magic Quadrant for Application Security Testing. Checkmarx earned the top Current Offering score in the Forrester Wave for SAST (Q3 2025). Black Duck holds five consecutive Wave Leader designations for SCA (Q4 2024). Each tool leads in its respective domain.

Salesforce-Specific Security Gaps Neither Tool Covers

Both tools miss Salesforce risk areas outside source code, which leaves release and audit exposure unresolved. Salesforce spreads security enforcement across runtime keywords, declarative configuration, and metadata settings. This section identifies the vulnerability classes that fall outside both tools' scanning capabilities.

Declarative configuration vulnerabilities

Salesforce Flows, permission sets, and sharing rules produce no Apex code for a SAST tool to scan. Flows configured to run in System Mode without Sharing rank among the top-20 flaws. Salesforce's own Code Analyzer includes a Flow Scanner engine because code scanners cannot address this layer. Neither Checkmarx nor Black Duck provides an equivalent in the documentation cited here.

Sharing model violations

Apex classes that omit the with sharing keyword execute in system context. They bypass all organization-wide default settings and sharing rules. This keyword is a mandatory keyword on all controller classes with no exceptions. Sharing violation ranks as the third most common vulnerability found in AppExchange reviews. General SAST tools need explicit custom rules to treat the absence of this keyword as a security finding.

Guest user and metadata-driven exposure

Misconfigured organization-wide defaults combined with guest user sharing rules can expose sensitive records to unauthenticated users. Guest user sharing rules grant unlimited access to matching records. This is a runtime configuration state, not a code defect. No code scanner can query a live Salesforce organization to evaluate whether these settings match security policy.

SOQL injection

SOQL injection differs from SQL injection because SOQL cannot modify data. It can only read it. The risk is data exfiltration across sharing model boundaries. Tools calibrated for SQL injection may underestimate SOQL injection severity because the attack vector and impact model are different.

Compliance Requirements Driving Security Tool Decisions

Security tool decisions also affect audit evidence, change control, and testing obligations, not just scan coverage. These requirements shape what teams must prove during audits. Understanding them helps teams evaluate whether a given tool satisfies audit evidence requirements.

The following frameworks carry direct Salesforce DevOps implications:

• HIPAA (45 CFR § 164.312(b)) requires mechanisms that record and examine activity in systems containing ePHI
• SOX checklist Section 404 mandates documented change management, segregation of duties, and traceable approval records for production releases
• PCI DSS v4.0 Requirement 10.4.1.1 now mandates automated audit log review mechanisms
• GDPR Article 32 requires regular testing and evaluation of technical measures for data protection
• NIST SP 800-53 R5.2 (AU family) requires creation and retention of system audit logs for monitoring and investigation
• ISO/IEC 27034 requires verifiable evidence that Application Security Controls were correctly implemented

The regulatory direction across these frameworks is toward automated, continuous enforcement. PCI DSS v4.0's new automated log review requirement specifically mandates automated mechanisms, not periodic manual reviews. Neither Checkmarx nor Black Duck generates deployment-level audit trails aligned with these requirements without additional tooling.

What Effective Salesforce Security Requires

Effective Salesforce security needs controls for metadata, pipeline enforcement, and audit evidence, not just code scanning. Teams need these controls to reduce release risk and support audit readiness. This section outlines the technical requirements for securing deployment pipelines.

Embedded pipeline security gates

Pipeline security controls must be tied directly to deployment decisions. NIST SP 800-204D states that pipeline control planes must execute at a higher trust level than individual functional steps. When external tools run as bolted-on pipeline steps, teams must wire the results into deployment gates. Black Duck recommends running extensive scans asynchronously. That decouples full security coverage from the deployment decision. Checkmarx's default Fast Scan mode omits certain queries to expedite results. That creates a similar trade-off between pipeline speed and complete coverage.

Metadata-aware scanning and deployment controls

Salesforce deployments include metadata that general-purpose scanners cannot evaluate. That includes Flows, permission sets, and profiles. Effective security requires scanning that understands Salesforce metadata structures and enforces policy before deployment reaches production.

Continuous audit trail generation

Regulatory audit requirements demand deployment-level change records with identity verification, approval tracking, and retention beyond platform defaults. Security scanning tools generate findings reports. They do not generate the deployment governance records that auditors require.

Salesforce DevOps platform integration

Integrating either tool into a Salesforce pipeline requires additional work. Teams must package metadata, configure Apex scanning outside defaults, and wire scan results to deployment gates. Neither Checkmarx nor Black Duck lists native integrations with Salesforce-specific DevOps platforms. Non-default scan configurations also add setup overhead that teams must maintain across releases.

Closing the Gap with Purpose-Built Salesforce DevSecOps

The gaps above point to a clear conclusion. Salesforce environments need security controls architected around the platform's metadata model, deployment process, and audit requirements. DevOps solutions purpose-built for Salesforce address pipeline integration and audit trail requirements that general-purpose security tools leave open.

Flosum provides automated deployment pipelines for Salesforce metadata. Flosum supports policy-based deployment controls and generates audit trails for compliance reporting. Flosum enables version control and rollback capabilities, and Flosum integrates CI/CD workflows within Salesforce environments.

Checkmarx and Black Duck remain valuable for their core strengths. Checkmarx supports Apex SAST and AppExchange review preparation. Black Duck supports open-source license compliance and SCA. Pairing either tool with a Salesforce DevSecOps platform helps address declarative configuration, metadata governance, and audit trail gaps.

Request a demo with Flosum to see how automated deployment pipelines and audit trail generation can strengthen your security posture.