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Application security is the discipline of finding and fixing the flaws that live in the code, dependencies, and runtime behavior of the software your organization builds and ships. It spans the whole lifecycle: catching vulnerabilities before merge with static testing (SAST), software composition analysis, secrets detection, and threat modeling, then guarding what is live with dynamic and interactive testing (DAST/IAST), API security, web application firewalls, bot management, and runtime self-protection (RASP). For most security leaders this is where the hardest tradeoff sits, because the people introducing risk are developers moving fast, and the controls that work are the ones that fit into the pipeline rather than fight it. Supply chain security, application security posture management (ASPM), mobile app security, and secure code training round out the category, and together they are how teams shift left without grinding shipping to a halt.
We cover 808 Application Security tools, 252 free and 556 commercial.
Accuracy and depth improve over time. Last reviewed Jul 2026. Is something off? Reach out.
AI-native AppSec platform for code-to-runtime security with automated triaging
Runtime app protection with function-level reachability and exploit prevention
Application monitoring and security platform that provides runtime visibility, threat detection, and automated response capabilities for application-layer security
AppSec platform with API discovery, CI/CD-native DAST, and risk oversight
DAST platform for API and web app security testing with business logic focus
Pipelineless AppSec platform for dev-native risk detection & remediation
All-in-one security platform covering code, cloud, and runtime protection
WordPress monitoring platform for uptime, security, and performance tracking
Octoscan is a static analysis tool that scans GitHub Actions workflows for security vulnerabilities and misconfigurations.
EvoMaster is an AI-driven tool that automatically generates system-level test cases for web APIs and enterprise applications using evolutionary algorithms and dynamic program analysis.
Akamai Client-Side Protection & Compliance is a security tool that monitors and protects against client-side threats on websites, aiding in PCI DSS v4.0 compliance.
Bot detection & mitigation platform protecting against abuse & scraping
DAST solution for web apps and APIs with automated scanning capabilities
AI-powered SAST tool that finds and auto-fixes code vulnerabilities in real-time
AI-powered platform for identifying, fixing, and governing application security risks
Node.js Goof is a vulnerable Node.js demo application containing multiple security vulnerabilities for testing and educational purposes.
Jaeles is an automated web application testing tool that helps identify vulnerabilities and security issues through customizable testing scenarios.
A pre-commit security tool that scans source code repositories to detect and prevent secrets like API keys, passwords, and credentials from being committed to version control systems.
A tool to find XSS vulnerabilities in web applications
A community website for API security news, vulnerabilities, and best practices
A cryptographic framework that secures software update systems by enabling publishers to sign content offline and consumers to verify authenticity through trusted verification mechanisms.
A curated list documenting open-source projects that incorporate political protests in their software, ranging from messages to conditional malware.
APKLeaks is a command-line tool that scans Android APK files to identify embedded URIs, endpoints, and secrets for security assessment purposes.
808 tools across 14 specializations · 252 free, 556 commercial
Static Application Security Testing
Static Application Security Testing (SAST) tools that analyze source code for vulnerabilities using taint and dataflow analysis during development.
Secrets Detection
Tools that find and scan for leaked secrets, credentials, API keys, and tokens hardcoded in source code, repositories, and CI/CD pipelines.
Software Composition Analysis
Software Composition Analysis (SCA) tools for identifying vulnerabilities and license risks in open source dependencies and third-party libraries, with SBOM generation.
Common questions about Application Security tools, selection guides, pricing, and comparisons.
Application security is the practice of protecting software from vulnerabilities across its lifecycle, from the code developers write to the dependencies they import to the running app exposed to users. It covers pre-deployment testing like SAST, SCA, and threat modeling, and runtime defenses like WAFs, API security, and RASP. The goal is shipping secure software without slowing delivery to a crawl.
API security is a specialized slice of application security focused on the endpoints applications expose to each other and to clients. Broader AppSec covers the entire codebase, dependencies, and runtime; API security narrows in on authentication, authorization, schema abuse, and business-logic attacks against APIs. As architectures move to microservices and headless apps, API security has grown into its own discipline rather than a feature of general scanners.
SAST analyzes source code or binaries without running the application, catching flaws early but generating false positives. DAST tests the running application from the outside, like an attacker, finding real exploitable issues but later in the cycle. IAST instruments the app during testing to combine both views with better accuracy. Most mature programs use more than one, since each catches what the others miss.
Start with where your risk concentrates: a company shipping APIs needs different coverage than one shipping mobile apps. Prioritize tools that fit your developers' existing pipeline and IDE, because adoption beats raw detection depth. Watch the noise: false positive rates and triage burden quietly kill AppSec programs. Many teams now consolidate scanners under an ASPM layer rather than buying point tools per testing type.
Open-source tools like Semgrep, OWASP ZAP, and Trivy form a credible foundation, and plenty of teams run real programs on them. They tend to need more in-house tuning, lack the centralized triage and policy enforcement of commercial platforms, and rarely cover the full lifecycle alone. Most organizations land on a blend: open source for core scanning, commercial tooling where consolidation, support, and posture management matter at scale.