Safeguard.sh vs Checkmarx
Zero CVE Start + AI-Native vs Legacy SAST
Checkmarx provides traditional SAST with manual workflows after deployment. Safeguard.sh starts you clean with 6,000+ zero CVE images and packages, then delivers AI-native supply chain security with Griffin AI's autonomous remediation across 100-level dependency depth. See why starting with zero CVE components and continuous self-healing beats periodic scanning.
Feature-by-Feature Comparison
AI-native supply chain security vs legacy SAST platform
Zero CVE Components
3,000+ zero CVE images + 3,000+ Gold packages—malware-free from day one
None—traditional scan-and-fix after deployment
Architecture
AI-native, cloud-native built from ground up for supply chain security
Legacy SAST platform—retrofitted for modern threats
Remediation
Autonomous Auto-Fix with Griffin AI—no manual approval, fixes in minutes
Manual remediation workflows—generates reports requiring developer action
Dependency Depth
100-level dependency tracing—finds threats 40+ levels deeper
Limited dependency analysis—misses deeply nested supply chain threats
False Positives
80% fewer with reachability analysis—only shows exploitable vulnerabilities
High false positive rate—requires significant manual triage
Cloud Deployment
15 cloud providers, on-premises, air-gapped—true infrastructure flexibility
Limited cloud support—primarily SaaS with some self-hosted options
Supply Chain Coverage
Complete SSCS: code, containers, AI models, CI/CD, SBOM, TPRM, Gold packages
SAST/SCA focused—limited container, SBOM, and third-party risk coverage
Scan Performance
Continuous incremental scanning—real-time feedback without pipeline delays
Batch scanning (hours for large codebases)—blocks CI/CD pipelines
SBOM Lifecycle
Complete lifecycle: generation, enrichment, validation, distribution, monitoring, attestation
Basic SCA component lists—no SBOM lifecycle management
Federal Compliance
FedRAMP HIGH, IL7, SOC 2 Type II ready—compliance-ready architecture designed for federal requirements
Limited federal compliance architecture—not designed for IL7 or FedRAMP HIGH
AI Capabilities
Griffin AI purpose-built for SSCS with autonomous OODA loop and self-healing
AI-augmented SAST—not purpose-built for autonomous supply chain security
Why Choose Safeguard.sh Over Checkmarx?
Purpose-Built AI Architecture
Checkmarx retrofitted AI into legacy SAST. Griffin AI was architected from day one for autonomous supply chain security—not general-purpose AI adapted for security. Purpose-built OODA loop for continuous threat response.
Supply Chain vs Code Scanning
Checkmarx focuses on SAST/SCA of source code. Safeguard.sh protects the entire supply chain: dependencies 100 levels deep, containers in any registry, AI models, third-party vendors, and curated Gold packages.
Autonomous vs Manual Workflows
Checkmarx generates security reports requiring manual developer fixing and approval workflows. Griffin AI autonomously fixes vulnerabilities and deploys remediations—no manual intervention, no delays, no backlogs.
Reachability-Based Prioritization
Checkmarx reports all potential vulnerabilities without exploitation context—high false positive rate requiring manual triage. Safeguard.sh uses reachability analysis—80% fewer false positives showing only exploitable threats.
Modern Cloud-Native Architecture
Checkmarx legacy architecture has performance issues with large codebases. Safeguard.sh cloud-native architecture provides continuous incremental scanning—real-time feedback without pipeline delays across 15 cloud providers.
Complete SBOM Lifecycle
Checkmarx provides component inventory lists. Safeguard.sh Portal manages complete SBOM lifecycle: auto-generation, enrichment, validation, secure distribution, continuous monitoring, and EO 14028 attestation for federal compliance.