Checkmarx vs Prompt Armor

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

Analysis reviewed Live tool data as of 2026-08-29
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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.

Checkmarx
Checkmarx

Agentic application security platform governing AI-generated code from creation to runtime.

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Prompt Armor
Prompt Armor

AI vendor risk intelligence for enterprise TPRM teams

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Pricing
Contact Sales
Freemium
Plans
$0
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
Hybrid scanning engines (Checkmarx Fusion) combining rules-based precision with Anthropic AI
NG SAST for source code analysis across languages
Secrets Detection with 170+ patterns
IaC Security for Terraform, CloudFormation, Kubernetes, Helm
API Security for discovery, inventory, testing
SCA with SBOM generation and reachability
Malicious Package Protection against typosquatting
Container Security with layer-by-layer scanning
AI-BOM generation for AI component inventory
LLM Scanning for AI model security
MCP Scanning (coming soon)
DAST for AI runtime testing
AI-powered security agents (Developer Assist, Triage & Remediation Assist)
Checkmarx MCP Server for agentic workflows
ASPM with unified risk intelligence
Identify vendors leveraging AI across your ecosystem
Assess LLM interactions with data across 26 risk vectors
Map risks to OWASP LLM Top 10, NIST AI RMF, and MITRE Atlas
Continuous monitoring for AI scope changes
Alerts for AI permission expansions and defaults
Map relationships between AI assets and data
Assurance module for AI controls showcase
Threat intelligence for novel AI attacks
Indirect prompt injection detection in vendor AI
Visibility into vendor training on your data by default
Track data flows into AI subprocessors
Insights into training data opt-out policies
Data exfiltration vulnerability research
API access for integration with existing systems
Role-based access control (RBAC)
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

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

45 mentions across 3 sources · 10% positive — critical

YouTube, Bluesky, Lemmy

What users praise

  • Covers 26 risk vectors aligned with OWASP LLM Top 10.
  • Aligned with NIST AI RMF and MITRE Atlas frameworks.
  • Offers continuous monitoring for AI scope changes.
  • Includes an assurance module for AI control showcases.

What frustrates them

  • No community reviews or user testimonials available.
  • Pricing is not publicly listed, complicating budget planning.
  • Learning curve for integrating with existing GRC workflows.
  • Limited integrations listed (ServiceNow, ProcessUnity, etc.).

Researched Jul 25, 2026

Feature-by-feature

Prompt Armor focuses exclusively on AI third-party risk: it identifies which vendors use AI, assesses LLM interactions across 26 risk vectors aligned with OWASP LLM Top 10, NIST AI RMF, and MITRE Atlas, and provides continuous monitoring for scope changes. Its threat intelligence has uncovered real vulnerabilities like data exfiltration via indirect prompt injection in ChatGPT for Google Sheets. It integrates with TPRM and GRC tools like ServiceNow and Archer. In contrast, Checkmarx is a broad AppSec platform covering SAST, Secrets Detection, IaC Security, API Security, SCA, Container Security, and AI-specific features like AI-BOM generation and DAST for AI-powered apps. Its Checkmarx MCP Server enables agentic workflows for triage and remediation. While Prompt Armor secures vendor AI, Checkmarx secures your own AI-generated code. Both are enterprise-focused, but their feature sets are complementary rather than overlapping.

Pricing compared

Both Prompt Armor and Checkmarx require contacting sales for pricing, indicating enterprise-level investment. Prompt Armor targets TPRM, InfoSec, and GRC teams, likely pricing per monitored vendor or risk assessment volume. Checkmarx, as a full AppSec platform, typically scales with developers, applications, or scan volume. Neither offers a free tier or self-service pricing, so budget-conscious buyers should expect significant costs. Prompt Armor's focus on AI vendor risk might be more affordable for companies with a limited number of AI vendors, while Checkmarx's breadth could be cost-effective for organizations consolidating multiple security tools.

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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Last reviewed: July 30, 2026