Static application security testing is one of the fastest ways to find vulnerabilities before a mobile application reaches production. The difficult part is choosing a scanner that actually understands mobile applications.

Many general-purpose SAST tools can scan code written in Java, Kotlin, Swift, or Objective-C. However, mobile application security requires more than understanding the programming language. A scanner also needs to understand Android and iOS architecture, including application components, permissions, intents, deep links, WebViews, local storage, and communication between apps. Without mobile-specific analysis, a tool may find common coding flaws but miss vulnerabilities that depend on how the mobile platform works.

Mobile-specific SAST also includes tooling to extract code for analysis from an APK, AAB, or IPA.

The best tool depends on your mobile security requirements:

• Oversecured is best for deep mobile-specific analysis. It analyzes Android APKs without requiring source code, follows complete data flows through the application, and combines static findings with dynamic validation. It also maps all the findings to over 50 regulatory standards.

• MobSF is the most practical free option for mobile application analysis for overall testing.

• NowSecure is a strong choice for enterprises that want mobile binary static analysis as part of a broader mobile application security testing platform.

• Appknox is a binary-based mobile SAST option for teams that want to scan compiled Android and iOS apps without providing source code.

• Guardsquare AppSweep is a mobile-specific binary SAST tool that analyzes compiled Android and iOS apps and maps findings to standards such as OWASP MASVS.

• Veracode is a general-purpose enterprise SAST platform with comparatively broad mobile packaging support, including Android APK and AAB files as well as native and cross-platform mobile code.

• Checkmarx One is a source-code SAST platform for teams that need customizable security queries across Java, Kotlin, Swift, and Objective-C mobile projects.

• Semgrep is a lightweight source-code SAST option for teams that want fast scans and the ability to create custom mobile data-flow and taint-analysis rules.

• GitHub CodeQL is a semantic source-code analysis option for Java, Kotlin, and Swift projects that need deeper data-flow queries integrated directly into GitHub.

• Snyk Code is a source-based SAST option for teams that want mobile code findings combined with open-source dependency analysis in the same developer workflow.

This guide compares ten SAST tools based on their actual mobile capabilities, supported inputs, analysis depth, runtime testing, developer workflows, and limitations.

Best mobile SAST tools at a glance

Product capabilities change frequently. Teams should confirm supported inputs, frameworks, language versions, and deployment models directly with each vendor before purchasing.

What is mobile SAST?

Static application security testing analyzes an application without executing it. Depending on the tool, the scanner may analyze:

• Original source code

• Compiled application binaries

• Decompiled or intermediate code

• Application configuration files

• Android manifests and iOS property lists

• Embedded libraries and mobile SDKs

• Dependencies and software components

There are two broad categories of mobile SAST tools.

Mobile-native SAST tools

Mobile-native platforms are built specifically for Android and iOS. They are more likely to understand:

• Android activities, services, broadcast receivers, and content providers.

• Exported application components.

• Intents and inter-process communication.

• Deep links and custom URL schemes.

• WebView configuration and JavaScript bridges.

• Android keystore and iOS keychain usage.

• Mobile permissions.

• Local application storage.

• Certificate validation.

• Mobile SDK behavior.

• Platform-specific authentication controls.

These tools may also analyze the compiled mobile application instead of requiring the original source code.

General-purpose SAST tools

General-purpose SAST platforms support programming languages used in mobile development, but they are not necessarily designed around the mobile attack surface.

They can still be valuable for finding:

• Hardcoded credentials.

• Injection vulnerabilities.

• Weak cryptography.

• Unsafe deserialization.

• Path traversal.

• Insecure random number generation.

• General data-handling mistakes.

• Vulnerable open-source dependencies.

They are especially useful when an organization already uses the same platform to secure web applications, backend services, infrastructure code, and hundreds of software repositories.

The limitation is that language support and mobile security coverage are not the same thing.

Oversecured

Best for: Deep mobile-specific analysis and reducing manual vulnerability triage

Oversecured is a mobile application security platform built specifically for Android and iOS. It combines SAST, DAST, and authenticated interactive analysis to examine application code, validate vulnerabilities at runtime, and test functionality that is available only after login.

For Android, Oversecured analyzes APK, AAB, and APKS builds without requiring access to the original source repository. It decompiles the application into reconstructed Java code and uses more than 5,500 custom rules together with data-flow analysis to follow untrusted data across execution paths, application components, third-party libraries, and Android APIs. For iOS, Oversecured performs static analysis directly against Swift source code.

The platform covers more than 175 Android and 85 iOS vulnerability categories, including insecure intents, exported components, content providers, WebViews, deep links, local storage, authentication, cryptography, platform permissions, and vulnerabilities introduced through third-party SDKs. Each static finding includes the affected code, the complete source-to-sink data flow, severity, potential impact, and remediation guidance.

Oversecured also shows how a vulnerability can be reached through realistic attack vectors, such as a malicious third-party application, crafted deep link, SMS or push notification, insecure network connection, man-in-the-middle attack, or another device on the local network. Related findings can be connected into vulnerability chains, helping teams understand how several individually limited weaknesses could be combined into a more serious exploit.

The DAST engine turns detected attack paths into executable test cases. It runs the application in a controlled environment, fuzzes deep links, exported components, and inter-app communication, and attempts to trigger vulnerabilities at runtime. Oversecured can automatically navigate authenticated application areas and test screens and functionality that are available only after login. Successful tests include reproducible evidence such as malicious payloads, deep links, ADB commands, stack traces, application logs, network requests, file-system dumps, reproduction steps, and device screen recordings.

Every finding is also mapped to the relevant requirements across 53 security and compliance frameworks, including OWASP MASVS, OWASP Mobile Top 10, MITRE ATT&CK for Mobile, CWE, PCI DSS, DORA, PSD2, HIPAA, Google MASA, and regional financial-security standards. Teams can select the frameworks relevant to each application and see how new vulnerabilities or fixes affect compliance with every release.

How Oversecured analyzes mobile applications

The central difference is its focus on source-to-sink data-flow analysis.

A source is a location where potentially untrusted data enters the application. Examples include an Android intent, deep-link parameter, content provider request, external file, clipboard value, or network response.

A sink is a sensitive operation. Examples include executing code, loading content into a WebView, opening a file, starting an exported component, writing sensitive data, or performing a privileged operation.

Oversecured traces how data travels between the source and sink and checks whether it was validated or restricted along the way. This provides more context than identifying a dangerous method in isolation.

Static and dynamic testing

Oversecured combines SAST with dynamic application security testing. The dynamic engine can use an Android emulator to validate findings and collect evidence such as payloads, stack traces, application logs, and network requests.

Oversecured also offers attack chains that connect related weaknesses rather than presenting every finding as an isolated issue. Business and technical summaries help different teams understand the overall security posture, while compliance mapping shows which requirements may be affected by a vulnerability.

This is particularly useful for teams trying to reduce the amount of triage left to mobile security engineers.

Developer workflows

Oversecured can be integrated into delivery pipelines through its API, CLI, and CI/CD integrations. Teams can scan application builds continuously and review findings before a release reaches production.

The platform also supports workspaces, role-based access controls, API tokens, and different permission levels for people who upload applications, manage scans, or review reports.

Strengths

• Built specifically for mobile application security.

• Analyzes Android APKs without requiring original source code.

• Follows complete source-to-sink data paths.

• Strong coverage of Android platform-specific vulnerabilities.

• Combines static findings with runtime validation.

• Over 5,500 custom rules for analysis

• Provides technical evidence and remediation guidance.

• Connects related findings into attack chains.

• Supports CI/CD, CLI, and API workflows.

• Includes compliance mappings and business-level summaries.

Limitations

• iOS static analysis currently requires Swift source code.

• Oversecured is designed for mobile applications, not backend, web, or infrastructure repositories.

Who should choose Oversecured?

Oversecured is a strong fit for mobile AppSec, product security, and offensive security teams that need more than a list of suspicious code patterns.

It is particularly relevant when:

• Android source code cannot be shared.

• The company needs to test the final application build.

• Mobile-specific business-logic vulnerabilities are a priority.

• Security engineers spend too much time manually triaging findings.

• Developers need evidence showing why a result is exploitable.

• The organization wants to combine continuous SAST with dynamic validation.

NowSecure

Best for: Enterprise mobile security testing on real devices

NowSecure is a mobile application security testing platform that combines static analysis, dynamic analysis, interactive testing, API analysis, privacy testing, and software component visibility.

The platform supports Android and iOS and is designed to test mobile applications continuously throughout development and release workflows.

NowSecure emphasizes testing on real devices. Its platform combines SAST and DAST to examine both the application package and the way the application behaves during execution. It can also generate a mobile software bill of materials and integrate findings into GitHub security workflows.

How NowSecure analyzes mobile applications

NowSecure uses multiple analysis techniques rather than operating as a pure source-code scanner.

Static analysis examines the application binary, configuration, and packaged components. Dynamic and interactive analysis observe how the application handles storage, networking, authentication, privacy-sensitive data, and device functionality at runtime.

This approach can help distinguish between a suspicious static condition and behavior that is actually present in the running application.

Developer and enterprise workflows

NowSecure can be integrated into CI/CD pipelines and GitHub Advanced Security. Its GitHub Action can create issues with code samples and remediation guidance, while its SBOM integration can send component information to the GitHub dependency graph.

The platform is designed for organizations managing many internally developed and third-party mobile applications.

Strengths

• Purpose-built for Android and iOS.

• Combines static, dynamic, API, and interactive analysis.

• Strong emphasis on testing with real mobile devices.

• Supports continuous mobile testing.

• Offers SBOM generation and privacy analysis.

• Integrates with GitHub and enterprise development workflows.

• Can be combined with manual penetration-testing services.

Limitations

• Public documentation gives less visibility into individual static-analysis rules and vulnerability-category coverage than some buyers may want.

• Enterprise deployment and pricing may be excessive for small teams with one application.

• Teams focused specifically on data-flow depth should test the static engine directly rather than assuming all capabilities from the broader platform.

Who should choose NowSecure?

NowSecure is best suited to enterprises that need automated mobile application testing at scale and consider real-device runtime behavior a central requirement.

It is particularly relevant for regulated organizations, large application portfolios, and companies that need to assess both internally developed and third-party mobile apps.

Appknox

Best for: Combining automated mobile testing with managed security services

Appknox is a mobile application security platform offering static analysis, dynamic analysis, API security testing, and manual penetration testing.

Its static analysis is binary based. Teams can upload their compiled mobile application rather than providing the full source repository.

How Appknox analyzes mobile applications

Appknox scans Android and iOS application binaries for insecure configurations, coding weaknesses, vulnerable components, exposed secrets, cryptographic issues, storage risks, and other mobile security problems.

Its DAST capabilities execute the application and inspect runtime behavior. API security testing can evaluate the backend communication used by the mobile application.

This provides broader coverage than relying on static analysis alone.

Services and workflows

One of Appknox’s main differentiators is the combination of automated technology and security services.

Organizations can use automated scans continuously and order manual penetration testing when a release, audit, or compliance process requires deeper human assessment.

Appknox also offers integrations for incorporating scans into development and security workflows.

Strengths

• Binary-based testing without requiring source code.

• Offers manual penetration-testing services.

• Useful for organizations that lack a large internal mobile security team.

• Strong emphasis on compliance and regulated industries.

Limitations

• Public documentation provides limited technical detail about the depth of its interprocedural or cross-component data-flow analysis.

• Some capabilities belong to separate services or modules.

• Organizations should clarify which findings are fully automated and which require involvement from Appknox analysts.

• The combined product and service model may be unnecessary for teams that only need fast source-level feedback.

Who should choose Appknox?

Appknox is a good option for companies that want one provider to handle automated mobile testing and periodic manual assessments.

Guardsquare AppSweep

Best for: Developer-friendly testing inside a broader mobile protection ecosystem

AppSweep is Guardsquare’s mobile application security testing product for Android and iOS applications.

It performs static and interactive analysis against mobile application binaries and organizes findings around standards such as OWASP MASVS. Guardsquare says its static analysis goes beyond basic pattern matching and includes data-flow analysis.

How AppSweep analyzes mobile applications

Development teams upload a compiled mobile application to AppSweep. The product analyzes the binary and reports risks involving code, configuration, dependencies, storage, network security, cryptographic implementation, and application protection.

For interactive analysis, AppSweep can instrument an uploaded application. The team downloads the instrumented build, uses the application, and sends runtime information back to the platform for analysis.

Connection to application protection

AppSweep is part of Guardsquare’s broader mobile security portfolio.

Guardsquare also provides DexGuard for Android application protection and iXGuard for iOS. This makes AppSweep especially relevant for organizations that want to combine vulnerability testing with code obfuscation, anti-tampering, and runtime application self-protection.

Developer workflows

AppSweep offers CLI and DevOps integration for continuous scanning. Its interface is designed to give developers actionable recommendations rather than only presenting security classifications.

Strengths

• Scans compiled mobile application binaries.

• Includes static and interactive analysis.

• Maps findings to OWASP MASVS.

• Integrates naturally with Guardsquare’s mobile application protection products.

Limitations

• Public documentation does not make it easy to compare the exact number and depth of supported vulnerability categories.

• Interactive testing requires a person or test automation to exercise the instrumented application.

• Some of the platform’s value is tied to the wider Guardsquare protection ecosystem.

• Teams should verify how deeply data flow is traced across files, components, libraries, and platform APIs.

Who should choose AppSweep?

AppSweep is a strong option for mobile development teams that want accessible binary scanning and are also considering application hardening or runtime protection.

It may be especially attractive to existing DexGuard or iXGuard customers.

MobSF

Best for: Free, open-source, and self-hosted mobile application analysis

Mobile Security Framework, commonly known as MobSF, is an open-source security research and testing platform for Android, iOS, and Windows mobile applications.

Its static analyzer supports application binaries such as APK, IPA, and APPX files, as well as source-code packages.

How MobSF analyzes mobile applications

MobSF extracts application metadata, decompiles supported packages, inspects manifests and configuration files, identifies potentially insecure code patterns, reviews certificates, and examines bundled libraries.

The related mobsfscan project scans Java, Kotlin, Swift, Objective-C, and Android XML source. It uses MobSF rules through Semgrep and a separate pattern-matching engine.

Deployment and integrations

MobSF can be self-hosted, including through Docker. Its APIs and CLI capabilities allow teams to connect it to internal workflows and CI/CD pipelines.

Because it is open source, organizations can inspect the implementation, modify rules, and retain complete control over where application builds are processed.

Strengths

• Free and open source.

• Supports APK, IPA, APPX, and source-code packages.

• Can be self-hosted.

• Provides REST APIs and CLI tools.

• Useful for research, malware analysis, privacy analysis, and application testing.

• A starting point for teams learning mobile application security.

Limitations

• Installation, configuration, updates, and infrastructure must be managed internally.

• Dynamic analysis requires maintaining a compatible testing environment.

• Pattern-based findings may require substantial manual validation.

• Enterprise governance, role-based access, support, triage, and reporting workflows are more limited than in commercial platforms.

• Teams must decide which findings should block a release and how suppressions will be governed.

• Results should not be treated as equivalent to a complete mobile penetration test.

Who should choose MobSF?

MobSF is the logical first option for security researchers, students, small teams, and organizations that need a free or self-hosted mobile scanner.

Veracode

Best for: Enterprises that need one AppSec platform across mobile and non-mobile software

Veracode is a broad application security platform offering static analysis, software composition analysis, dynamic analysis, and other security capabilities.

Unlike mobile-only vendors, Veracode is intended to secure a wide range of applications, programming languages, and software architectures.

Veracode documents support for Android applications packaged as APK and AAB files. Its documentation also covers Apple-platform packaging and languages used in mobile development, including Java, Kotlin, Swift, and Objective-C.

How Veracode analyzes mobile applications

Veracode generally requires customers to package application artifacts according to its requirements and upload them for analysis.

For Android, this can include compiled application packages. For Apple platforms, teams may need to prepare the application using Veracode’s packaging process.

The product then analyzes the packaged code and reports security flaws through the wider Veracode platform.

Enterprise workflows

Veracode’s main strength is consistency across a large application portfolio.

A central AppSec team can use one platform for:

• Mobile applications.

• Web applications.

• Backend services.

• Open-source dependencies.

• Policy management.

• Vulnerability reporting.

• Developer education.

• Compliance and risk governance.

Strengths

• Broad enterprise application security platform.

• Suitable for mixed mobile, web, and backend portfolios.

• Established policy and governance workflows.

• Integrates static analysis with software composition analysis.

Limitations

• It is not exclusively designed around mobile attack paths.

• Application packaging can add setup complexity.

• Teams should validate how effectively the platform detects Android component, intent, manifest, deep-link, and iOS platform-specific problems.

• It may be expensive or operationally heavy for a small mobile development team.

Who should choose Veracode?

Veracode makes sense for large organizations that already use the platform or need one AppSec vendor across many types of software.

It is less likely to be the first choice for a team whose primary requirement is deep mobile-specific analysis of compiled application logic.

Checkmarx One

Best for: Bringing mobile repositories into an existing enterprise SAST program

Checkmarx One is a general application security platform that combines SAST, software composition analysis, infrastructure-as-code testing, API security, container security, and other capabilities.

The Checkmarx SAST engine supports Android Java, Kotlin, Swift, and Objective-C files. Its mobile-related presets include queries for mobile security risks and OWASP Mobile Top 10 categories.

How Checkmarx analyzes mobile applications

Checkmarx primarily performs source-code analysis.

For Android, it can analyze Java and Kotlin files. For iOS, it can scan Swift, Objective-C, property-list, and interface files.

Checkmarx uses security queries to model insecure data flows and coding patterns. Enterprise customers can also customize queries to reflect internal frameworks, application architecture, and security requirements.

Enterprise workflows

Checkmarx is designed for centralized AppSec programs with many repositories and development teams.

The platform supports policy management, developer integrations, vulnerability management, custom queries, and consolidated reporting across application types.

Strengths

• Includes mobile-related security presets.

• Offers customizable security queries.

• Strong enterprise reporting and governance.

• Can combine SAST and dependency analysis in one platform.

Limitations

• The primary scanning model is source-code based.

• Public documentation does not establish the same Android binary-analysis workflow offered by dedicated mobile platforms.

• Mobile rules may be only one part of a much larger general-purpose query set.

Who should choose Checkmarx?

Checkmarx is a practical option when a company already uses it as the standard SAST platform and wants to include mobile repositories in the same process.

A mobile-native product may still be needed for release-level binary analysis, runtime validation, and vulnerabilities involving the complete packaged application.

Semgrep

Best for: Fast source-code scanning and custom mobile security rules

Semgrep is a source-code analysis platform designed for fast developer feedback and customizable security rules.

Semgrep supports Java, Kotlin, and Swift. Its commercial Semgrep Code product currently provides cross-file data-flow analysis for Java and Kotlin and cross-function data-flow analysis for Swift. Its documentation lists more than 60 commercial rules for both Kotlin and Swift.

How Semgrep analyzes mobile code

Semgrep searches source code using semantic patterns that understand code structure rather than treating the repository as plain text.

Rules can identify individual insecure patterns or define taint sources, propagators, sanitizers, and sinks. This allows teams to model how untrusted data reaches sensitive functions.

A major advantage is that security teams can create rules for internal libraries, application architecture, and coding standards.

Developer workflows

Semgrep is designed to run quickly in pull requests, repositories, IDEs, and CI/CD pipelines.

Developers can receive findings shortly after introducing vulnerable code instead of waiting for a complete release build.

Strengths

• Fast source-code scanning.

• Easy to create and customize rules.

• Good fit for pull-request and IDE feedback.

• Can scan many application and infrastructure languages.

• Useful for enforcing internal secure-coding standards.

Limitations

• Does not operate as a complete APK or IPA binary scanner.

• Swift data-flow support is less extensive than Kotlin and Java support.

• Objective-C is not listed among Semgrep’s generally supported languages.

• Community Edition has more limited analysis than the commercial product.

• Mobile effectiveness depends on the quality and quantity of the rules used.

• It may not understand every Android or iOS platform-specific interaction without custom rules.

Who should choose Semgrep?

Semgrep is a good fit for engineering-led security programs that want fast feedback and control over their security rules.

It works well as a shift-left layer. Teams can use Semgrep on every pull request and run a deeper mobile-specific scanner against the compiled application before release.

GitHub CodeQL

Best for: GitHub-native security analysis of mobile source repositories

CodeQL is GitHub’s semantic code-analysis engine.

It converts a codebase into a queryable database and runs security queries against that representation. CodeQL supports Java and Kotlin through the java-kotlin language identifier and also supports Swift.

How CodeQL analyzes mobile code

CodeQL models program structure, control flow, and data flow. Security researchers and internal AppSec teams can write queries that identify vulnerabilities across complex execution paths.

For compiled languages such as Kotlin and Swift, CodeQL often needs to build the project while creating the analysis database. GitHub provides automatic and manual build modes, but teams may need to configure custom build commands for more complicated mobile applications.

Developer workflows

CodeQL integrates directly with GitHub code scanning.

Findings can appear in pull requests, repository security pages, and GitHub Advanced Security workflows. Teams can use built-in query suites or create their own queries.

This makes CodeQL especially useful for organizations already building and reviewing all mobile code through GitHub.

Strengths

• Native integration with GitHub.

• Supports Java, Kotlin, and Swift.

• Custom queries can model complex vulnerabilities.

• Findings appear directly in repository workflows.

Limitations

• It analyzes source repositories rather than uploaded APK or IPA binaries.

• Objective-C is not included in GitHub’s documented CodeQL language list.

• Kotlin and Swift projects may require successful builds and additional workflow configuration.

• Custom query development requires specialized knowledge.

• Built-in generic queries may not cover the entire Android and iOS attack surface.

• GitHub-native integration is less useful for organizations that host code elsewhere.

Who should choose GitHub CodeQL?

CodeQL is a strong option for teams already using GitHub Advanced Security and looking for source-level feedback inside their existing development process.

It should not automatically be considered a replacement for testing the compiled mobile application or observing runtime behavior.

Snyk Code

Best for: Development teams already using the Snyk platform

Snyk Code is the static-analysis part of Snyk’s developer security platform.

Snyk supports Java and Kotlin for code analysis and open-source dependency scanning. It also supports Swift and Objective-C, although the level of support differs between the two languages.

At the time of writing, Snyk’s documentation states that Snyk Code supports Swift versions up to 5.7.x. Objective-C code analysis remains an Early Access capability available on Enterprise plans.

How Snyk analyzes mobile code

Snyk Code analyzes source repositories and identifies insecure data flows and coding patterns.

It can be used alongside Snyk Open Source to detect known vulnerabilities and licensing risks in application dependencies.

This combination is useful for developers who want code and dependency results in the same interface.

Developer workflows

Snyk integrates with source-control platforms, CI/CD systems, IDEs, and command-line workflows.

Teams can scan code during development and connect findings to existing Snyk projects, policies, and reporting.

Strengths

• Combines code and dependency security.

• Integrates with repositories, IDEs, CLI tools, and CI/CD.

• Useful across mobile, web, and backend applications.

Limitations

• It is source-code oriented rather than a mobile binary scanner.

• Official Swift version support may lag behind the latest Swift releases.

• Objective-C analysis is not yet a fully general-availability capability.

• Teams should validate the depth of Android and iOS-specific rules.

• Mobile applications may require an additional scanner for binary, configuration, runtime, and packaged SDK analysis.

Who should choose Snyk Code?

Snyk Code is most suitable for development teams already using Snyk for open-source dependencies or source-code security.

It provides convenient early feedback, but mobile teams should verify whether its platform-specific coverage is sufficient for their risk profile.

Frequently asked questions

What is the best SAST tool for Android applications?

For deep commercial Android analysis, Oversecured is our recommendation because it analyzes compiled APKs, follows mobile-specific data flows, and combines static findings with dynamic validation.

MobSF is the most practical free and self-hosted starting point.

Semgrep and GitHub CodeQL are strong options for early source-code analysis, especially when developers need findings directly in pull requests.

What is the best SAST tool for iOS applications?

The answer depends on whether you can provide Swift or Objective-C source code and whether you need analysis of the compiled application.

Oversecured performs deep Swift source analysis and adds mobile-specific reporting and runtime capabilities. NowSecure, Appknox, AppSweep, and MobSF can analyze compiled mobile applications.

General-purpose tools including Checkmarx, Semgrep, CodeQL, and Snyk Code can provide source-level analysis, but their language support and platform-specific depth differ.

What is the best free mobile SAST tool?

MobSF is the most complete free recommendation.

AppSweep also provides a free mobile testing option.

Semgrep Community Edition and CodeQL can be useful for source-level scanning, but they do not replace complete mobile binary and runtime analysis.

Is MobSF sufficient for enterprise mobile security?

MobSF is a useful first entry point into mobile application security testing.

However, it does not provide the same depth of mobile-specific data-flow analysis, vulnerability validation, or coverage of complex attack paths as specialized commercial SAST platforms. It also lacks the enterprise support, governance, reporting, compliance mapping, and vulnerability-management workflows required by many larger organizations.

Can SAST replace mobile penetration testing?

No.

Automated SAST can provide broad and repeatable coverage, but manual testing remains useful for complex authorization, business logic, chained attacks, server-side behavior, and unusual application flows.

The more practical approach is to use continuous automated testing for every release and periodic manual assessments for deeper exploratory coverage.

Is mobile SAST enough without DAST?

Usually not.

SAST and DAST observe different parts of the application. SAST examines code and possible execution paths. DAST examines what the application actually does while running.

Using both provides stronger evidence and reduces the chance that teams either miss runtime vulnerabilities or waste time investigating purely theoretical findings.