Safeguard vs Checkmarx
Zero CVE Start + Autonomous Remediation vs Comprehensive Testing
Checkmarx One is a comprehensive AppSec platform spanning SAST, SCA, IaC, API, DAST and container scanning, with developer-led remediation. Safeguard starts you clean with 500K+ zero CVE images and packages, then delivers AI-native supply chain security with Griffin AI's autonomous remediation across deep transitive dependency analysis. See why starting with zero CVE components and continuous self-healing complements and extends a detection-focused approach.
Feature-by-Feature Comparison
AI-native supply chain security vs legacy SAST platform
Zero CVE Components
500K+ curated zero-CVE components and images—malware-free from day one
Scans code, dependencies, containers and IaC for known issues; no curated zero-CVE component registry to start from
Architecture
AI-native, cloud-native built from ground up for supply chain security
Checkmarx One unifies SAST, SCA, IaC, API, DAST and container scanning; built around testing and detection rather than autonomous remediation
Remediation
Autonomous Auto-Fix with Griffin AI—no manual approval, fixes in minutes
Manual remediation workflows—generates reports requiring developer action
Dependency Depth
Deep transitive dependency analysis—finds deeply nested supply chain threats
SCA and supply-chain security analyze the dependency tree; reachability and cross-package taint depth differ from Safeguard's approach
False Positives
Fewer false positives with reachability analysis—only shows exploitable vulnerabilities
Offers exploitable-path analysis to prioritize results; prioritization is review-driven rather than reachability-gated by default
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
Broad AppSec coverage including container and SBOM support; no curated zero-CVE registry, AI-model BOM, or dedicated vendor-SBOM TPRM workflow
Scan Performance
Continuous incremental scanning—real-time feedback without pipeline delays
Full SAST scans can take longer on large codebases; incremental scanning is available but not the default model
SBOM Lifecycle
Complete lifecycle: generation, enrichment, validation, distribution, monitoring, attestation
Generates SBOMs and component inventories from SCA; not a full generation-to-attestation lifecycle with EO 14028 attestation
Federal Compliance
FedRAMP HIGH, IL7, SOC 2 Type II (audit in progress)—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
In-House Security-Tuned Model Lineup
Seven in-house, security-tuned models: five Griffin variants plus Eagle and Lion, each scoped to a different reasoning workload
AI Query Builder and AI-assisted features layered on its scanning engine—no in-house multi-variant model lineup
Long-Context Attention Architecture
Aegis attention architecture for long-context reasoning, with mixture-of-experts in the largest tier
No published in-house attention architecture
Security-Only Training Corpus
Models trained on a security-only corpus—no customer code, no general web crawl
No public commitment to a security-only, customer-code-free training corpus
Security-Augmented Tokeniser
Tokeniser extended for vulnerability classes, CVE IDs, package coordinates and exploit primitives
Standard tokenisation from upstream model providers
Structured Reasoning Trace as First-Class Output
Every finding ships with HYPOTHESIS / CITED PATH / DISPROOF / PROPOSED PATCH—reviewable and machine-parseable
Findings returned with rule metadata and natural-language explanation—no contractual structured trace schema
Adversarial Disproof Pass
Every finding is challenged by a disproof pass before it reaches the user
No published adversarial disproof step on AI-generated findings
Auto-Router Across Model Variants
Triage score routes each finding to the right model tier
No published auto-router across multiple in-house model tiers
Inline On-Device Model (sub-100ms p95)
Lion runs locally for inline IDE / pre-commit suggestions with sub-100ms p95 latency
IDE plugins call back to the platform—no local sub-100ms in-house model
Cross-Package Taint Chain Reasoning
Reasons across 12+ hops of cross-package taint, following data flow through transitive boundaries
Strong intra-application taint via SAST query language; cross-package supply-chain taint at the same depth is not the focus
Multi-Finding Correlation In a Single Pass
Correlates related findings into a single reasoning pass so issue chains are explained together
Findings issued per query/rule; no published multi-finding correlation pass
Local AI Coding Agent (Terminal / IDE)
Safeguard Code—a local AI coding agent for terminal and IDE workflows with full repo context
AI-assisted remediation surfaces inside the platform; no local terminal/IDE coding agent of equivalent scope
MCP Server with Capability Scoping
Safeguard MCP Server exposes tools to AI clients with capability scoping and sensitive-data egress guardrails
No published MCP server with capability-scoped tools and egress guardrails
AI-BOM (AI Bill of Materials)
Tracks the models, prompts and tools used inside your SDLC as a first-class AI-BOM artefact
Inventory is code/dependency-focused; no published AI-BOM tracking models, prompts and tool chains
Coordinated Disclosure Pipeline
Upstream patch + maintainer test-suite + draft advisory delivered as one coordinated disclosure package
Checkmarx Labs publishes research and disclosures—no bundled upstream patch + test suite + draft deliverable
Public Threat Intelligence Feed
Public threat intelligence feed available as RSS, JSON and STIX
Research blog and advisories are published; no equivalent multi-format public threat feed
Published Security Research
Safeguard-published research with coordinated disclosure on real-world supply-chain incidents
Checkmarx Labs publishes regular supply-chain attack research—genuine strength of the vendor
Bug Bounty Programme for the Platform Itself
Public bug bounty programme covering the Safeguard platform
Responsible disclosure process exists; no widely-public bounty programme of equivalent scope
Sovereign + Air-Gapped Deployment with Full Model Lineup
Air-gapped and sovereign deployment with the full Griffin Zero (671B-MoE) and the rest of the lineup running in-region
On-prem and dedicated deployment is supported, but not with a full in-house large-model lineup
Published Constitutions of Security / AI / Human Values
Three public constitutions (Security, AI, Human Values) govern model and platform behaviour
No published constitution-style governance documents of equivalent scope
Public Product Roadmap
Public product roadmap visible to customers and prospects
Roadmap shared under NDA in customer briefings—no fully public roadmap
Public Training & Certification Programme
Safeguard Academy—public training and certification programme on supply chain security
Codebashing provides secure-coding training—genuine strength of the vendor
Customer-Verifiable Model Provenance Bundle
Provenance bundle lets customers independently verify which model weights and pipeline produced a given finding
No published customer-verifiable model provenance bundle for AI findings
Documented Model Deployment Shapes
Five documented deployment shapes: shared cloud, dedicated, VPC-isolated, air-gapped, and sovereign
Cloud SaaS plus self-hosted options exist; air-gapped/sovereign with full AI lineup is not the focus
Customer-Controlled Audit Log Export
Audit logs exportable by the customer in JSON and CycloneDX
Audit logs available via API; no published CycloneDX-format export
Sandbox Tenant for Self-Serve Evaluation
Sandbox tenant for self-serve evaluation with realistic data and full feature surface
Trial access is sales-gated—no fully self-serve sandbox tenant of equivalent scope
Why Choose Safeguard Over Checkmarx?
Purpose-Built AI Architecture
Checkmarx adds AI-assisted features to a detection-focused AppSec platform. Griffin AI was architected from day one for autonomous supply chain security, with a purpose-built OODA loop for continuous threat response and remediation.
Supply Chain vs Code Scanning
Checkmarx focuses on SAST/SCA of source code. Safeguard protects the entire supply chain: deep transitive dependency analysis, 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 uses reachability analysis—fewer false positives showing only exploitable threats.
Modern Cloud-Native Architecture
Comprehensive SAST scans can take longer to complete on large codebases. Safeguard's 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 Portal manages complete SBOM lifecycle: auto-generation, enrichment, validation, secure distribution, continuous monitoring, and EO 14028 attestation for federal compliance.
When Safeguard Beats Checkmarx
Fast Feedback in CI/CD
Manual Remediation Backlogs
Deep Supply Chain Threats
Reducing Triage Effort
Multi-Cloud and Air-Gap Requirements
Self-healing security runs on Safeguard.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.