If you're evaluating a Checkmarx alternative, you've probably also had Aikido Security and GitHub Advanced Security (GHAS) show up in the same bake-off. All three get lumped under "code scanning," but they solve different slices of the problem — and if you're asking what is code scanning at a category level, it spans static analysis, dependency scanning, and secrets detection, with different code scanning software vendors bundling that mix differently. Secure code scanning as a practice depends on running all three consistently, not on any single tool's label. Checkmarx is a mature, enterprise SAST/SCA platform built for large AppSec teams. GHAS bolts CodeQL, secret scanning, and dependency review directly onto GitHub. Aikido positions itself as a lightweight, developer-friendly hub that aggregates several open-source scanners (SAST, SCA, IaC, container, and cloud checks) behind one dashboard and one pricing line. None of the three were built to answer a narrower but increasingly urgent question: can you prove what's actually in your build, where it came from, and whether it changed on the way to production? This post breaks down where each tool's scanning model stops and where software supply chain security work — the space Safeguard focuses on — begins.
What problem are you actually buying a scanner to solve?
"Code scanning" is a bucket term that hides real differences in scope:
- Checkmarx is primarily a static application security testing (SAST) and software composition analysis (SCA) platform for security code scanning at enterprise scale, sold to enterprise AppSec teams that need policy engines, custom query authoring, and compliance reporting across large, polyglot codebases. For teams asking what does Checkmarx do or what is Checkmarx used for at a category level: it's SAST and SCA, full stop — scanning committed source and open-source dependencies for known-vulnerable and insecure patterns. The broader Checkmarx security platform also ships a CLI and REST API for CI/CD integration, its own Codebashing secure-coding training product, and checkmarx documentation and tutorial content aimed at onboarding large AppSec teams, all backed by enterprise checkmarx support contracts.
- GitHub Advanced Security scans code that already lives in GitHub: CodeQL for SAST, secret scanning for leaked credentials, and dependency review for known-vulnerable packages at pull-request time. Its biggest advantage is that it's native to the platform most teams already use for code review.
- Aikido Security doesn't run its own proprietary scanning engines for most checks — its public positioning is that it orchestrates and de-duplicates results from established open-source scanners (for SAST, SCA, secrets, IaC, and container/cloud misconfiguration) into a single triage view, aimed at smaller engineering teams that don't have a dedicated AppSec function.
All three answer the question "does this code have known bad patterns or known-vulnerable dependencies?" That's necessary, but it's a source-code and dependency-manifest question. It doesn't tell you whether the artifact you actually deployed matches the source you scanned, whether a build step quietly pulled in a different package version, or whether a dependency's maintainer account was compromised after your last scan ran. That's the supply chain layer, and it sits outside what any of these three tools was designed to cover.
How does Aikido's aggregation model actually differ from Checkmarx or GHAS?
This is the most concrete, verifiable distinction in the comparison. Checkmarx and GHAS's core engines (Checkmarx SAST/SCA, and CodeQL for GHAS) are built and maintained in-house by those vendors. Aikido's stated model is different: it integrates and manages a set of open-source scanning tools under a unified UI and workflow layer, adding its own noise-reduction, auto-triage, and reachability analysis on top of upstream results rather than building most of the underlying detection engines from scratch. This is a legitimate and popular approach — it lets Aikido ship broad coverage quickly and keep pricing accessible for smaller teams. But it also means Aikido's differentiation is largely in workflow (fewer false positives to triage, one dashboard instead of five) rather than in proprietary detection depth. If you're comparing vendors on "who built the engine," that's a fair question to ask each vendor directly during a POC, since the answer determines how much of your risk coverage depends on upstream open-source project maintenance versus vendor-owned research.
Where do Checkmarx and GitHub Advanced Security fall short on the software supply chain?
Checkmarx and GHAS are both strong at what they were built for: finding insecure code patterns and flagging dependencies with known CVEs. Two structural gaps are well documented and easy to verify against each product's own documentation:
- They evaluate manifests, not build outputs. SCA tools read
package.json,requirements.txt,pom.xml, and lockfiles. They don't independently verify that the artifact your CI pipeline produced was actually built from that exact, scanned source — a gap that lets build-time tampering, dependency confusion, or a compromised CI step slip through undetected between "scan passed" and "artifact shipped." - Neither product is designed to generate or verify SBOM attestations and provenance as a first-class output. GHAS's dependency graph and Checkmarx's SCA inventory are useful for vulnerability matching, but they aren't a substitute for a signed, verifiable record of what's in an artifact and how it was produced — which is increasingly what customers, auditors, and regulations (e.g., SOC 2 vendor reviews, executive-order-driven SBOM requirements) actually ask for.
These aren't criticisms of the products failing at their job — it's that "code scanning" and "supply chain integrity" are different jobs, and most teams don't realize they've only bought coverage for the first one until an auditor or a customer security questionnaire asks about the second.
What does Safeguard verify that a scanner can't?
Safeguard is built around the software supply chain, not just the source code. Concretely, that means:
- Build-to-artifact provenance. Safeguard is designed to trace an artifact back to the exact commit, pipeline run, and dependency set that produced it, so "what we scanned" and "what we shipped" can be verified to be the same thing — closing the gap that manifest-based SCA tools leave open.
- SBOM generation and verification as a core workflow, not a side report — producing machine-readable, auditable records of what's actually inside a build, in a form that maps to SOC 2 and vendor-assessment requests rather than an internal vulnerability dashboard.
- Dependency and package-level risk signals beyond known-CVE matching — looking at factors like maintainer behavior, package provenance, and change patterns that a CVE database won't have caught yet, since a large share of real-world supply chain incidents involve packages with no CVE at the time of compromise.
None of this replaces SAST. If you need deep, customizable static analysis across a large enterprise codebase, Checkmarx still does that job well, and if your team lives in GitHub, GHAS is a reasonable default for PR-time checks. Safeguard is built to sit alongside those tools and cover the layer they weren't designed for.
Which one should you actually run?
The honest answer depends on what's forcing the evaluation:
- If a customer security questionnaire or SOC 2 audit is asking about SBOMs, build provenance, or dependency risk beyond CVE counts, that's a supply chain security gap, and neither Checkmarx, GHAS, nor Aikido was built to close it directly.
- If you're consolidating a pile of point tools into one triage workflow for a small team, Aikido's aggregation model is worth evaluating on its own terms — ask specifically which checks run on Aikido's own engines versus wrapped open-source tools, since that shapes both your coverage and your renewal-time leverage.
- If you're an enterprise AppSec team that needs deep SAST customization, query authoring, and compliance reporting at scale, Checkmarx's maturity in that specific lane is hard to replace with a lighter tool.
- If your code already lives in GitHub and you want PR-time checks with zero extra integration work, GHAS is the low-friction default.
If you're weighing checkmarx competitors more broadly, Aikido and GHAS are the two most commonly cross-shopped against it — though as covered above, none of the three (including Checkmarx itself) actually close the supply chain provenance gap Safeguard is built for. Many teams end up running one of these for code-level scanning and Safeguard for the supply chain layer, rather than treating it as an either/or decision.
How Safeguard Helps
Safeguard is built for teams who've realized that passing a code scan and having a trustworthy software supply chain aren't the same thing. Instead of asking "does this repository contain a known bad pattern," Safeguard asks "can we prove this artifact is what we think it is, all the way from commit to deployment" — generating verifiable SBOMs, tracing build provenance, and surfacing dependency risk that goes beyond CVE lookups.
If you're using Checkmarx, GHAS, or Aikido for code scanning today and hitting questions your current stack can't answer — a customer asking for a signed SBOM, an auditor asking how you verify build integrity, or a security review asking about your dependency risk beyond "we run SCA" — that's the gap Safeguard is built to close. It's not a replacement for your scanner; it's the layer of the software supply chain your scanner was never designed to cover. Teams typically keep their existing SAST/SCA tool in place and add Safeguard specifically for provenance, SBOM, and dependency-risk coverage, rather than ripping out what already works.