Safeguard.sh vs Black Duck
Zero CVE Start + Self-Healing vs Policy Alerts
Black Duck (Synopsys) provides SCA with policy enforcement and manual workflows after deployment. Safeguard.sh starts you clean with 6,000+ zero CVE images and packages, then delivers autonomous remediation with Griffin AI across 100-level dependency depth. See why starting with zero CVE components and self-healing beats alert-based compliance checking.
Feature-by-Feature Comparison
Autonomous self-healing vs policy-based compliance checking
Zero CVE Components
3,000+ zero CVE images + 3,000+ Gold packages—malware-free from day one
None—policy-based scanning after deployment
Remediation Approach
Autonomous Auto-Fix—self-healing without manual approval or policy workflows
Policy-based alerts—requires manual remediation and approval workflows
Dependency Depth
100-level dependency tracing—finds threats 40+ levels deeper
Standard dependency analysis—limited deep transitive tracing
False Positives
80% fewer with reachability analysis—only exploitable vulnerabilities
High alert volume—policy violations without exploitation context
Deployment Flexibility
15 cloud providers, on-premises, air-gapped—true infrastructure flexibility
Limited deployment options—primarily SaaS with complex on-prem setup
AI Capabilities
Griffin AI purpose-built for autonomous supply chain security
Rule-based policy engine—no AI-driven autonomous remediation
License Compliance
Automated license analysis with policy enforcement and auto-remediation
Comprehensive license database—but manual resolution workflows
Container Security
OCI-compliant registries + multi-layer analysis—autonomous container fixing
Container scanning—generates alerts without autonomous fixing
SBOM Lifecycle
Complete lifecycle: generation, enrichment, validation, distribution, monitoring, attestation
SBOM generation and exports—limited lifecycle management
Federal Compliance
FedRAMP HIGH, IL7, SOC 2 Type II ready—compliance-ready architecture designed for federal requirements
Enterprise compliance features—not architected for IL7 or FedRAMP HIGH
Scan Performance
Continuous incremental scanning—real-time feedback without delays
Periodic scans—can take hours for large codebases
Why Choose Safeguard.sh Over Black Duck?
Autonomous vs Policy-Based
Black Duck enforces policies and generates alerts requiring manual remediation workflows. Griffin AI autonomously fixes vulnerabilities without waiting for policy approval—eliminating compliance bottlenecks and accelerating time-to-fix.
100-Level Dependency Depth
Black Duck provides standard dependency analysis. Griffin AI traces 100-level dependency depth—finding supply chain threats 40+ levels deeper in complex transitive dependency chains that Black Duck misses.
Reachability-Based Prioritization
Black Duck generates policy violation alerts without exploitation context. Safeguard.sh uses reachability analysis to show only exploitable vulnerabilities—80% fewer false positives allowing teams to focus on real threats.
Modern Cloud-Native Architecture
Black Duck legacy architecture has slow scan times and complex deployment. Safeguard.sh cloud-native design provides continuous incremental scanning across 15 cloud providers with simple deployment and tenant isolation.
Complete Lifecycle Automation
Black Duck focuses on discovery and policy enforcement. Safeguard.sh provides complete lifecycle automation: continuous scanning, autonomous remediation, SBOM management, third-party risk, and Gold package registry.
Purpose-Built AI
Black Duck uses rule-based policy engines. Griffin AI was architected from day one for autonomous supply chain security with the OODA loop (Observe, Orient, Decide, Act)—not retrofitted rules but true AI-driven decision-making.