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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.
Security code and AI security training platform for developers
SBOM-powered SCA platform for container & source code security scanning
A CLI tool and Go library for generating a Software Bill of Materials (SBOM) from container images and filesystems.
A command-line tool that scans textual data and Git history to identify and locate secrets, API keys, passwords, and other sensitive information.
A Chrome browser extension that uses machine learning to detect and alert users about sensitive data exposure and potential data breaches across web environments.
Secret Bridge monitors GitHub repositories to detect and alert on leaked secrets and sensitive data exposure.
Yar is a reconnaissance tool for scanning organizations, users, and repositories to identify vulnerabilities and security risks during security assessments.
A secrets detection tool that scans GitHub, GitLab, and Bitbucket repositories to identify API keys, access tokens, and other sensitive information in source code.
A tool that combines multiple open source Git scanning utilities to detect and list secrets stored in Git repositories for security audits and compliance checks.
A Burp Suite plugin for automatically adding XSS and SQL payload to fuzz
A Burp Suite plugin that extracts keywords from HTTP responses using regex patterns and tests for reflected XSS vulnerabilities within the target scope.
A free online tool to scan for DOM-based XSS vulnerabilities in HTML, JavaScript, and CSS files.
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.