Checkmarx vs Prompt Armor

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-30
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At a glance

DimensionCheckmarxPrompt Armor
PricingContact salesContact sales
Primary FocusEnterprise AppSec for AI-generated codeAI third-party risk monitoring & governance
Key FeatureAI-BOM generation & MCP Server for agentic workflowsAI vendor identification & 26 risk vector assessment
Best ForEnterprise AppSec, DevOps, regulated industriesEnterprise TPRM, InfoSec, GRC teams
IntegrationsGitHub, GitLab, Azure DevOps, VS Code, JetBrains, JiraServiceNow, ProcessUnity, ZScaler, Netskope, Archer
AlignmentFedRAMP, SOC 2, ISO 27001OWASP LLM Top 10, NIST AI RMF, MITRE Atlas

If your primary concern is monitoring AI risks across your vendor ecosystem—especially detecting prompt injection and data exfiltration in third-party LLMs—Prompt Armor is the specialized choice. But if you need to secure AI-generated code in your own development pipeline, with SAST, SCA, and agentic workflows, Checkmarx is the stronger fit. Both are enterprise-grade with contact pricing; your decision hinges on whether you worry more about external vendor AI or internal code-level AI risk.

Try CheckmarxTry Prompt Armor
Checkmarx
Checkmarx

Checkmarx One is an AI-native application security platform that unifies SAST, SCA, DAST, container and AI-supply-chain scanning under one correlated risk view.

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Prompt Armor
Prompt Armor

PromptArmor is AI vendor risk intelligence that assesses LLM data exposure and monitors AI scope changes across your TPRM portfolio.

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Pricing
Contact Sales
Freemium
Plans
Custom
Custom
Custom
Custom
Custom
$0 for your first 5 applications
Custom
Popularity
3.9k views
3.9k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebPluginCLI
WebAPI
Categories
🔐 Application & Code Security
🛡️ AI Governance & Guardrails📜 GRC & Compliance Automation🔒 Security & Privacy
Features
Checkmarx Fusion hybrid scanning engine combining rules-based precision with Anthropic's frontier AI (Early Access for SAST)
NG SAST source code analysis across languages with reported 11% higher true-positive rate than average SAST
Secrets Detection with 170+ patterns and live secret validation
IaC Security for Terraform, CloudFormation, Kubernetes, and Helm misconfigurations
API Security for discovery, inventory, and testing of API attack surface
SCA with SBOM generation, license compliance, and reachability analysis
Malicious Package Protection against typosquatting and compromised packages
Container Security with layer-by-layer image scanning
Repository Health monitoring
AI Supply Chain Security generating audit-ready AI-BOMs
AI Inventory (AI-BOM) for a global inventory of AI assets, models, and datasets
LLM Scanning for AI model security
MCP Scanning for agent security (Coming Soon)
DAST for runtime security testing of AI-powered applications
Checkmarx Assist agents: Developer Assist (in-IDE prevention), Triage Assist (attackability-first ranking), Remediation Assist (merge-ready fixes)
Identify which vendors leverage AI and which types (applications, agents, models, skills, connectors, plugins)
Assess LLM interactions with data across 26 risk vectors
Map findings to OWASP LLM Top 10, NIST AI RMF, and MITRE Atlas
Continuous monitoring for AI scope, permission, and data-access changes
Dated alerts when vendors enable AI features or data access by default
Indirect prompt injection and data exfiltration analysis per vendor asset
Full vendor reports with AI-specific risk scores
Map relationships between AI assets and the data they touch
Visibility into which vendors train on your data by default
Track data flows into AI subprocessors across the portfolio
Insight into vendor training-data opt-out and retention policies
Shadow IT discovery for vendors exposing data to AI models
Assurance module for showcasing your own AI controls to partners
Real-time API access for integration with existing systems
Role-based access control with OAuth / SSO identity management
Integrations
GitHub
GitLab
Bitbucket
Azure DevOps
Jenkins
CircleCI
Visual Studio
VS Code
JetBrains IDEs
Eclipse
Slack
Jira
ServiceNow
Splunk
ProcessUnity
ZScaler
Netskope
Archer

What real users say: Checkmarx vs Prompt Armor

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Checkmarx

79 mentions across 6 sources · 33% positive — critical (averaged across 6 sources)

Hacker News, YouTube, Product Hunt, Bluesky, Stack Overflow, Lemmy

What users praise

  • • Highest SAST F1 score with 11% higher true-positive rate than average.
  • • Broad scanning coverage: SAST, SCA, IaC, API, secrets, containers, DAST.
  • • Agentic AI assistants help developers prevent and fix vulnerabilities in-IDE.
  • • Unified ASPM gives a single risk posture view across all security surfaces.

What frustrates them

  • • Severe supply chain compromise in 2026 undermines trust in the vendor.
  • • High false positive rates produce 'garbage' results without heavy tuning.
  • • Setup is complex and error-prone, with ambiguous error messages.
  • • Pricing is opaque and reported as 'expensive as hell' for large orgs.

Researched Jul 25, 2026

Prompt Armor

No verifiable community signal. We scanned public discussion on Jul 25, 2026 and found posts matching the name “Prompt Armor”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • Enterprise TPRM Manager
    Pick: Prompt Armor

    Prompt Armor specializes in AI vendor risk identification, assessment, and continuous monitoring, aligning with OWASP/NIST frameworks needed for compliance.

  • AppSec Lead at a Fintech
    Pick: Checkmarx

    Checkmarx secures AI-generated code in CI/CD with SAST, SCA, and agentic remediation, meeting regulatory requirements like FedRAMP.

  • InfoSec Analyst Monitoring LLM Integrations
    Pick: Prompt Armor

    Prompt Armor provides threat intelligence for indirect prompt injection and data exfiltration in popular AI plugins like Google Sheets.

  • DevOps Engineer Using Agentic Workflows
    Pick: Checkmarx

    Checkmarx MCP Server integrates directly into agentic development pipelines for automated security triage.

Frequently Asked Questions

Checkmarx vs Prompt Armor: which should you choose?

If your primary concern is monitoring AI risks across your vendor ecosystem—especially detecting prompt injection and data exfiltration in third-party LLMs—Prompt Armor is the specialized choice. But if you need to secure AI-generated code in your own development pipeline, with SAST, SCA, and agentic workflows, Checkmarx is the stronger fit. Both are enterprise-grade with contact pricing; your decision hinges on whether you worry more about external vendor AI or internal code-level AI risk.

Can Checkmarx detect indirect prompt injection in third-party AI tools?

No, Checkmarx focuses on securing code you build, not monitoring third-party AI vendor interactions. Prompt Armor specifically detects such risks.

Does Prompt Armor provide code scanning for AI-generated code?

No, Prompt Armor assesses vendor AI risk but does not scan your own code. Checkmarx covers that with SAST and other engines.

Which tool is better for compliance with NIST AI RMF?

Prompt Armor explicitly aligns with NIST AI RMF, making it suitable for compliance-driven assessments of third-party AI.

Do either offer a free trial?

Both require contacting sales for pricing and access; no free trial is mentioned.

Can I use Checkmarx to monitor AI risks in my supply chain?

Checkmarx offers AI-BOM generation and malicious package protection for AI supply chain security, but not vendor risk monitoring.

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Explore each tool further

Checkmarx
View Checkmarx reviewCheckmarx alternatives
Prompt Armor
View Prompt Armor reviewPrompt Armor alternatives

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Best AI Application & Code Security toolsBest AI AI Governance & Guardrails toolsBest AI GRC & Compliance Automation toolsBest AI Security & Privacy tools
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Last reviewed: July 30, 2026