Every engineering team runs some flavor of application security testing, but few could confidently map out all the types, when to run them, or which tools actually reduce risk versus generate noise. That confusion has real consequences: the March 2024 discovery of the xz utils backdoor (CVE-2024-3094) and the June 2024 polyfill.io supply chain attack, which affected an estimated 100,000+ websites, both slipped past organizations running only partial testing programs. Competitors like Mend.io built their reputation on one slice of the problem — software composition analysis — while the broader landscape now spans static analysis, dynamic testing, interactive testing, container and IaC scanning, and secrets detection. This post breaks down the types of application security testing that matter in 2026 — and the types of security vulnerabilities each one actually catches — where Mend.io fits, which tools lead each category, and the application security trends forcing teams to consolidate. We'll close with how Safeguard approaches the same problem differently.
What are the core types of application security testing?
The application security testing landscape breaks into six practical categories: SAST, DAST, IAST, SCA, container/IaC scanning, and secrets detection — each mapped to different types of security vulnerabilities, from hardcoded credentials to runtime access-control failures. Static Application Security Testing (SAST) analyzes source code or bytecode without executing it, flagging issues like SQL injection or hardcoded credentials directly in the IDE or pull request. Dynamic Application Security Testing (DAST) probes a running application from the outside, the way an attacker would, and is the only method that reliably catches runtime issues like misconfigured authentication or broken access control (still the #1 category in the OWASP Top 10 2021 list). Interactive Application Security Testing (IAST) sits between the two, instrumenting the running app to combine code-level visibility with real traffic, which cuts false positives significantly compared to SAST alone. Software Composition Analysis (SCA) — Mend.io's original core competency — scans open source dependencies and their manifests for known CVEs and license violations; this matters because Synopsys's Open Source Security and Risk Assessment has repeatedly found open source code in over 95% of commercial codebases. Container and Infrastructure-as-Code (IaC) scanning checks Dockerfiles, Kubernetes manifests, and Terraform for misconfigurations before deployment. Secrets detection scans commits and build logs for exposed API keys and tokens — a category that has grown urgent as GitGuardian's annual reports have tracked millions of secrets leaked on public repositories each year.
When in the SDLC should each testing type run?
Each type of application security testing belongs at a different stage of the pipeline, and running them at the wrong point is why so many programs feel slow without feeling safer. Secrets detection and SAST belong at commit time and in the pull request, because a five-second scan that blocks a hardcoded key before merge is orders of magnitude cheaper than rotating that key after it ships. SCA runs at build time, ideally as a manifest and lockfile check that gates the CI pipeline the moment a new dependency introduces a known CVE — this is the exact workflow Mend.io and Snyk popularized starting around 2015-2017. DAST and IAST run against a staging or pre-production environment, since they require the application to actually be executing; teams typically schedule DAST nightly or per-release rather than per-commit because scans can take 30 minutes to several hours depending on application size. Container and IaC scanning runs at both build time (scanning the Dockerfile) and admission time (a Kubernetes admission controller blocking a misconfigured pod before it's scheduled). The teams that get burned are almost always the ones that run one type — usually SCA, because it's the easiest to bolt onto CI — and assume that's "application security testing" solved.
How does Mend.io position itself in application security testing?
Mend.io built its business on software composition analysis, and that legacy still shapes its product today. The company was founded as WhiteSource in 2011 and rebranded to Mend.io in 2022, after acquiring Renovate (automated dependency updates) in 2021 and Bolt (software supply chain security) in 2022, backed by Insight Partners. Its strongest capability remains dependency vulnerability scanning and automated remediation pull requests — genuinely useful for teams with sprawling open source footprints. Where Mend.io is weaker is breadth: its SAST and container scanning offerings were added later through acquisition rather than built natively, and customers frequently report needing a separate DAST or IAST tool to cover runtime testing gaps — its core strength stays narrowly focused on dependency-layer security vulnerability types rather than the full picture. Mend.io also prices primarily around developer seats and repository count, which can get expensive quickly for organizations scanning hundreds of microservices, and its remediation suggestions are limited to the dependency layer rather than reasoning about how a vulnerable function is actually reached in production code — a gap that shows up as noisy, low-priority alerts for security teams already stretched thin.
Which application security testing tools lead the market in 2026?
The top application security testing tools in 2026 split roughly along the same six categories, and most enterprises still run three to five separate products to get full coverage. For SAST, Semgrep, Checkmarx, and GitHub CodeQL (built into GitHub Advanced Security) are the most widely deployed, with Semgrep's open-core model driving fast adoption among developer-first teams since its 2020 launch. Among the top DAST tools, Burp Suite Enterprise and OWASP ZAP remain the reference tools, with ZAP still the default choice for teams wanting a free, actively maintained option — it crossed over 12,000 GitHub stars and remains one of the most-downloaded OWASP projects. For SCA, Mend.io, Snyk, and Black Duck (Synopsys) lead, each with roughly comparable CVE database coverage pulled from the National Vulnerability Database and vendor-specific research. For secrets detection, GitGuardian and TruffleHog dominate, both offering free tiers that scan public repositories in real time. Container and IaC scanning is increasingly consolidated into broader cloud-native platforms like Wiz, Aqua Security, and Prisma Cloud rather than sold standalone. The clear market trend, though, is toward platforms — Snyk, GitHub Advanced Security, and Safeguard — that fold several of these categories into a single scan pipeline rather than requiring teams to license and stitch together five point solutions, so lists of the top DAST tools increasingly include platform suites alongside standalone scanners like ZAP.
What application security trends are reshaping testing right now?
The biggest of the application security trends reshaping testing in 2026 is the collision of AI-generated code volume with an already-overwhelmed supply chain threat landscape. GitHub reported that AI-assisted code suggestions (via Copilot) now account for a substantial and growing share of new commits across enterprise repositories, and multiple 2025 studies found that AI-generated code introduces known vulnerability patterns — like missing input validation — at rates comparable to or higher than human-written code, which means SAST and secrets scanning volume per commit is climbing fast. Second, regulation is forcing SBOM generation from a nice-to-have into a requirement: the U.S. Executive Order 14028 (May 2021) and its NTIA minimum elements for an SBOM, combined with the EU Cyber Resilience Act (entered into force December 2024, with vulnerability handling obligations phasing in through 2027), mean SCA tooling now needs to produce machine-readable, auditable SBOMs, not just a dependency list. Third, open source supply chain attacks have moved from theoretical to routine — beyond xz utils and polyfill.io, Sonatype's annual State of the Software Supply Chain reports have tracked year-over-year increases in malicious packages published to npm and PyPI, many designed specifically to evade signature-based SCA scanning through typosquatting and dependency confusion. The net effect: point-in-time scanning is no longer sufficient, and teams increasingly want continuous, reachability-aware monitoring that tells them not just "this CVE exists in your tree" but "this CVE is in a code path your application actually calls."
How Safeguard Helps
Safeguard was built around the gap that shows up most clearly when comparing point tools like Mend.io against what modern software supply chains actually need: coverage across every stage without forcing teams to license, configure, and reconcile alerts from five separate products. Safeguard unifies SCA, secrets detection, SBOM generation, and reachability analysis into a single pipeline that runs at commit, build, and deploy time, so a vulnerable dependency gets flagged with context on whether the vulnerable function is actually invoked — cutting the false-positive noise that makes teams tune out SCA alerts in the first place. Where Mend.io's remediation stops at "here's a PR bumping your dependency version," Safeguard's tenant-aware architecture tracks the fix through to deployment and ties it back to compliance evidence, which matters directly for SOC 2 audits since reviewers increasingly ask for continuous vulnerability management evidence rather than a quarterly scan report. Safeguard also generates SBOMs that meet NTIA minimum elements out of the box, so teams facing EU Cyber Resilience Act or federal EO 14028 requirements don't need a separate compliance tooling project layered on top of their security stack. For teams currently running Mend.io for SCA and bolting on a separate SAST or secrets tool to cover the rest, Safeguard's pitch is straightforward: one platform, one alert queue, and remediation guidance that accounts for how your code actually runs — not just what's listed in a manifest file.