Security teams evaluating application testing tools eventually run into the same wall: SAST, DAST, and IAST all promise to find vulnerabilities, but they look at code from completely different angles, catch different bug classes, and fit into different points of the SDLC. Teams that start with SAST testing alone often find it's necessary but not sufficient — it catches code-level flaws early but has no visibility into how the deployed application actually behaves. Most comparisons frame it as DAST vs SAST and stop there; in practice IAST — and increasingly supply chain context — belongs in the same decision. Choosing wrong means either drowning in false positives from static analysis run against frameworks it doesn't understand, or shipping a runtime blind spot that only gets discovered in production. Checkmarx built its name on static analysis and has spent years expanding into a broader platform that also covers dynamic and interactive testing. Safeguard approaches the same problem from the software supply chain side — treating source code, dependencies, build provenance, and runtime exposure as one connected attack surface rather than three separate scan types bolted together. This post breaks down what SAST, DAST, and IAST actually do, where Checkmarx's platform sits today, and how Safeguard's approach differs on two concrete, checkable dimensions: scanning architecture and supply chain coverage.
What do SAST, DAST, and IAST actually test?
The three acronyms get used interchangeably in vendor marketing, but they test fundamentally different things:
- SAST (Static Application Security Testing) analyzes source code, bytecode, or binaries without executing the application. It's fast to run in CI, catches issues like SQL injection patterns, hardcoded secrets, and insecure API usage before a build ever deploys, and it can point to an exact file and line number. Its weakness is context: static analyzers can't see how the app actually behaves at runtime, so they tend to flag things that are unreachable in practice (false positives) and miss issues that only manifest when code paths interact with real inputs.
- DAST (Dynamic Application Security Testing) tests a running application from the outside, the way an attacker would — sending crafted HTTP requests, fuzzing inputs, and observing responses. It catches configuration issues, authentication flaws, and runtime behaviors that static analysis can't see, but it typically can't tell you which line of code caused the problem, and it only tests what it can reach through the exposed interface.
- IAST (Interactive Application Security Testing) sits in between: an agent is instrumented inside the running application (often during QA or staging testing) and observes actual data flow as the app is exercised, combining some of SAST's code-level precision with DAST's runtime accuracy. The tradeoff is deployment complexity — IAST requires instrumentation in the test environment and only finds what your test traffic actually triggers.
The short version of DAST vs SAST: SAST sees the code but not the behavior, while DAST sees the behavior but not the code. None of the three is a replacement for the others; they cover different failure modes, and mature AppSec programs run more than one.
How does Checkmarx position SAST, DAST, and IAST?
Checkmarx is best known as one of the longest-standing SAST vendors in the market, and its core engine (Checkmarx SAST, now part of the Checkmarx One platform) is what most enterprise buyers still associate with the brand. Over time, Checkmarx has expanded the platform through acquisitions and internal development to add software composition analysis (SCA), API security testing, and interactive/dynamic capabilities, positioning Checkmarx One as an umbrella covering multiple AAST categories under one console.
That consolidation is a reasonable answer to "which scanner do I buy" — a single vendor, a single contract, a shared dashboard. Where it's worth doing your own diligence during evaluation is scope: confirm directly with Checkmarx which modules in your quote are native versus acquired-and-integrated, what deployment model each module uses (SaaS, self-hosted, hybrid), and how findings are correlated across SAST, SCA, and DAST results in your specific plan — those details vary by contract tier and aren't something we can verify from the outside, so we'd rather point you to ask than guess.
What does Safeguard actually scan, concretely?
Safeguard's starting point isn't "which AST category should I buy" but "what is actually running in production, and where did it come from." Concretely, that means:
- Dependency and SBOM-driven analysis: Safeguard generates and continuously reconciles a software bill of materials against known vulnerability databases, so a new CVE in a transitive dependency is flagged against your actual deployed inventory, not just your manifest files.
- Source-to-runtime linkage: findings are tied to the artifact and build that shipped them, not just a repository snapshot, so a static finding in code that never made it into a released binary doesn't consume triage time.
- Provenance and build integrity checks: Safeguard verifies build attestations and artifact signing status as part of the pipeline, which is a supply chain control that traditional SAST/DAST/IAST tools generally don't attempt because it isn't a code-scanning problem — it's a "can I trust the thing that produced this artifact" problem.
This is a deliberately different center of gravity than a pure AST platform. If your primary need is deep static rule coverage across a dozen legacy languages, a dedicated SAST engine like Checkmarx's may have broader language/rule maturity in that specific category — that's a fair, verifiable strength of an established SAST vendor. If your primary risk is "we don't have full visibility into what's actually built into our software and whether it's been tampered with between commit and deploy," that's the gap Safeguard is built to close.
Do you need all three testing types, or can one platform cover it?
In practice, most security teams end up running SAST early (in the PR/commit stage), DAST against staging or pre-prod environments, and IAST or runtime instrumentation where they have the engineering bandwidth to support agents in test environments. The honest answer to "can one vendor's platform replace running all three" depends on two things you should verify yourself before buying:
- Native vs. integrated tooling. Ask any vendor, including both Checkmarx and Safeguard, whether a given capability is built on a single shared analysis engine or is a separate product surfaced in the same UI. Shared findings correlation (deduplicating a SAST hit and a DAST hit that point to the same underlying flaw) is much easier when the engines were designed together.
- What "coverage" means for your stack. A platform's marketed language or framework support list is verifiable — ask for the current supported-languages page and cross-check it against your actual repositories, rather than relying on a sales deck.
Safeguard does not position itself as a full SAST/DAST/IAST replacement; it's built to sit alongside whichever code-scanning tools you already run and add the supply chain layer — dependency provenance, SBOM drift, build attestation — that pure AST tooling isn't designed to cover. Teams already running Checkmarx or a similar platform for code-level testing can typically add Safeguard for the artifact and dependency layer without ripping out existing scanners.
Which approach fits a given team?
A few honest heuristics, based on what each category is actually good at:
- If your biggest exposure is a monolith or a handful of core services and you want early-stage bug detection in CI, invest in SAST testing first — Checkmarx and similar dedicated engines have a long track record there.
- If your biggest exposure is a large number of internet-facing APIs and web apps where you're less sure the code-level analysis is reachable in practice, DAST against running environments will surface what an external attacker could actually hit.
- If your biggest exposure is an unclear or fast-changing set of open-source dependencies, container base images, and CI/CD build steps — where the risk isn't in the code you wrote but in what your build process pulled in and shipped — that's a software supply chain security problem, and it's the one Safeguard is purpose-built to address.
Most mature programs need more than one of these, and the right sequencing usually starts with getting an accurate inventory (SBOM) before layering on deeper code or runtime testing — otherwise you're testing code you can't confirm is actually deployed.
How Safeguard Helps
Safeguard is designed to complement, not duplicate, your SAST/DAST/IAST stack by focusing on the parts of the pipeline those tools weren't built to see:
- Continuous SBOM generation and drift detection, so you always know what's actually in a running artifact, not just what a manifest file claims.
- Vulnerability correlation against real deployment inventory, cutting down on triage noise from CVEs in dependencies that were never actually shipped.
- Build provenance and artifact signing verification, closing the gap between "the code was scanned" and "the thing that got deployed is the thing that was scanned."
- Policy gates in CI/CD that can block a release based on supply chain risk (unsigned artifacts, unresolved critical CVEs, unexpected dependency changes) the same way a SAST gate blocks on a critical code finding.
If you're already running SAST, DAST, or IAST — from Checkmarx or any other vendor — the practical next step isn't necessarily to replace it. It's to ask where your current tooling stops seeing risk: usually at the boundary between "code we wrote" and "everything else that ended up in the build." That boundary is where Safeguard is built to operate, and it's worth evaluating as an addition to your existing testing pipeline rather than a competing line item against it.