When teams look for a vulnerability scanner in the Gartner sense, they are almost always looking at the Application Security Testing (AST) market, which Gartner defines around three mandatory capabilities: static testing, dynamic testing, and software composition analysis. Understanding those categories is more useful than memorizing a quadrant, because the categories tell you what each tool can and cannot find. This guide explains how they work and how to read the analyst framing without getting lost in it.
What Gartner actually tracks
Gartner publishes a Magic Quadrant for Application Security Testing; the 2025 edition was released on October 6, 2025. It does not rate "vulnerability scanners" as a single product. Instead it evaluates platforms against a set of AST capabilities. Gartner treats static (SAST) and dynamic (DAST) testing as foundational and mandatory, with software composition analysis and, increasingly, API security testing as expected parts of a modern platform.
A few facts help calibrate expectations. Gartner projected the AST market at roughly $5.1 billion for 2025, and out of hundreds of vendors in the broader application security space, only about 16 appear in the Magic Quadrant in a given year. The quadrant is a snapshot of a small slice of the market judged on Gartner's own criteria, not a complete buyer's list. Plenty of capable tools never appear in it.
SAST: reading the code
Static Application Security Testing analyzes source code, bytecode, or binaries without running the application. It traces data flow from untrusted inputs (a request parameter) to dangerous sinks (a SQL query, a shell command) and flags the path. SAST runs early, integrates into the IDE and pull request, and finds first-party bugs like injection and insecure deserialization in the code your team wrote.
Its weaknesses are equally important. SAST cannot see runtime configuration, and it tends to produce false positives because it cannot always prove a flagged path is actually reachable. It also says nothing about the third-party libraries underneath your code.
DAST: testing the running app
Dynamic Application Security Testing takes the opposite approach: it exercises a deployed, running application from the outside, sending crafted requests and observing responses. Because it tests the real system, a DAST scanner finds issues that only exist at runtime, such as authentication flaws, server misconfiguration, and injection that is genuinely reachable through the live interface.
DAST's trade-off is that it runs late (you need a deployed app), it can miss code paths it never reaches during the crawl, and it usually cannot point you to the exact line to fix. SAST and DAST are complementary, not competing; the classic pairing is SAST to find the flaw in the diff and DAST to confirm it is exploitable in production.
SCA: watching the dependencies
Software Composition Analysis is the category most teams underinvest in and most breaches exploit. SCA inventories your open-source dependencies, including the transitive ones you never chose directly, and matches them against vulnerability databases. Since the large majority of a modern application's code is third-party, this is often where the real risk sits. An SCA tool also tracks license obligations and, in stronger implementations, tells you whether a vulnerable package is actually reachable in your code so you can prioritize.
Gartner's framing reflects this: SCA moved from a nice-to-have to an expected capability of any serious AST platform.
The newer capabilities Gartner emphasizes
Recent Magic Quadrant analysis highlights capabilities beyond the classic three. API security testing is now called out as a common and essential feature, driven by the reality that APIs are the dominant attack surface and that shadow or undocumented APIs escape traditional scanning. Container and infrastructure-as-code scanning, secrets detection, and the consolidation of all of the above into a single platform (sometimes called ASPM, application security posture management) are the direction of travel. The market is moving from separate point tools toward one platform that correlates findings across all of them.
How to actually choose
Do not buy from the quadrant alone. Use it to build a shortlist, then evaluate against your own environment:
- Coverage of your stack. Does it support your languages, frameworks, package ecosystems, and cloud? A leader that is weak in your primary language is the wrong choice.
- False positive rate. The best detection engine is useless if developers stop trusting it. Run a proof of concept on your real repositories and count how many findings are noise.
- Developer workflow fit. Does it live in the pull request and IDE, or in a separate dashboard nobody opens? Findings that surface where developers already work get fixed.
- Reachability and prioritization. Can it tell you which of 400 findings actually matters? Raw vulnerability counts without prioritization create alert fatigue.
- Total cost. Analyst-recognized platforms often price at the enterprise tier. Weigh that against what you actually need. Our own pricing is one point of comparison when you scope a proof of concept.
FAQ
Does Gartner rank vulnerability scanners directly?
Not as a standalone category. Gartner evaluates the Application Security Testing (AST) market, where SAST, DAST, and software composition analysis are the core capabilities. A "vulnerability scanner" is usually one of those categories or a platform combining several of them.
What is the difference between SAST, DAST, and SCA?
SAST analyzes your source code statically to find first-party bugs early. DAST tests a running application from the outside to find runtime-exploitable issues. SCA inventories your open-source dependencies and matches them against known vulnerabilities. They cover different attack surfaces and are strongest used together.
Should I only consider tools in the Gartner Magic Quadrant?
No. The quadrant covers a small subset of vendors judged on Gartner's criteria and is a useful shortlisting input, not a complete market. Evaluate candidates against your own stack, false positive rate, and workflow fit with a proof of concept on your real code.
What newer capabilities does Gartner expect from AST platforms?
Beyond the classic three, recent analysis emphasizes API security testing as essential, along with container and IaC scanning, secrets detection, and consolidation into a single posture-management platform that correlates findings across all sources.