Best Application Security Testing Providers: Top 8 in 2026

What are application security testing providers? 

Top application security testing providers include Mend.io, Invicti, and Black Duck, offering a range of services like Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Software Composition Analysis (SCA). Some providers also offer specialized services like securing AI applications and vulnerability management.

Application security testing (AST) providers deliver application security testing tools and platforms that help organizations identify, prioritize, and remediate vulnerabilities in software. These providers offer technologies that analyze code, dependencies, APIs, and running applications to reduce security risks before and after deployment.

According to Gartner’s Magic Quadrant for Application Security Testing, basic capabilities of AST solutions are SAST and SCA, with providers rated higher if they provide a broader set of testing capabilities.

Editor’s note: Updated the article to cover recent market trends and to reflect features and capabilities in 2026.

Application security testing market trends 

According to recent market research, the global security testing market is projected to reach USD 111.76 billion by 2033, growing at a compound annual growth rate (CAGR) of 25.6%. This rapid expansion reflects the growing importance of security testing as organizations increasingly rely on digital applications and cloud infrastructure. 

The market is expanding primarily due to:

• The increasing frequency of cyberattacks and data breaches, which push organizations to identify vulnerabilities before attackers exploit them. 
• Regulatory requirements such as GDPR and HIPAA, which require regular security assessments, encouraging companies to invest in security testing tools and services.
• The expanding potential attack surface, due to digital transformation, cloud adoption, and the spread of IoT and mobile devices. 
• Increased support for remote work and BYOD (bring-your-own-device) policies, which further increase security risks and drive demand for application security testing solutions.

As organizations move toward cloud-native architectures and agile development, security testing is increasingly integrated into development pipelines. Many companies now implement DevSecOps practices, which embed security testing directly into CI/CD workflows.

This shift increases demand for continuous application security testing, including static and dynamic analysis during development. Cloud environments also require real-time vulnerability assessment and automated testing, making scalable and cloud-based security testing platforms a priority for modern enterprises.

Benefits of application security testing providers 

Risk reduction

AST providers help reduce risk by identifying exploitable vulnerabilities early in the development lifecycle. By using techniques like SAST and SCA during coding and build phases, teams can catch issues before they reach production, where they become costlier and riskier to fix.

Providers also deliver prioritization tools that help teams focus on high-risk issues, reducing noise and making remediation efforts more effective. Many integrate threat intelligence to assess exploitability, helping security teams focus on what matters most.

Coverage

Comprehensive application security requires testing across a wide range of application types—web, mobile, APIs, and cloud-native services. Leading AST providers offer multi-technique platforms to scan different layers, from source code to runtime environments.

Modern tools also support scanning across development pipelines, enabling coverage of all critical business applications regardless of their tech stack or hosting model. This ensures that security is not limited to flagship products but extends to internal tools and third-party integrations.

Impact on pace

Effective AST tools minimize disruption to development workflows. Fast scan times, smart issue deduplication, and automated triage help developers stay focused and productive. Integration into CI/CD pipelines ensures that security checks happen automatically, without manual steps.

Many providers also support policy enforcement, such as blocking releases with critical vulnerabilities or enforcing open-source license restrictions. This automation ensures consistent guardrails without slowing down delivery.

Compliance and governance

AST providers help meet regulatory and industry compliance requirements by generating auditable reports and ensuring policies are enforced across teams. Features like license tracking, audit trails, and issue history support governance frameworks.

Tools often include pre-built compliance mappings for standards like PCI DSS, HIPAA, and ISO 27001, simplifying the work of demonstrating due diligence during audits.

AI-era relevance

As development teams adopt AI-generated code and integrate AI models, AST providers are evolving to address new risks. Some tools now scan AI-generated code for security anti-patterns and analyze AI model interfaces (e.g., APIs) for vulnerabilities.

A few vendors also provide model-specific testing for large language models and machine learning pipelines, covering threats like prompt injection or insecure data flows. This makes them relevant for securing applications in AI-intensive environments.

Notable application security testing providers

Enterprise AppSec platforms

1. Mend.io

Mend.io is an AI Native AppSec Platform purpose-built, with AI at its core, to secure the next generation of software. Moving beyond legacy tools that simply layer on AI, Mend.io provides a proactive solution that gives organizations the visibility and automated remediation necessary to protect complex modern codebases. This allows organizations to secure their applications, regardless of what they’re made of, and keep pace with the speed of innovation. 

Key features include:

• Securing AI components: Detects and remediates both component and behavioral risks specific to AI, providing AI-BoMs for full visibility.
• Ensuring the integrity of AI-generated code: Supports new development methods by discovering and remediating risks within code produced by AI powered coding tools.
• Driving risk reduction through AI-powered remediation: Utilizes AI for detection, prioritization, and remediation across the entire platform, including providing AI-based custom code fixes for continuous, autonomous security.
• Providing a holistic view of risks: Offers comprehensive visibility across the entire codebase, including custom code, open source, containers, and all AI-generated code and components, overcoming blind spots created by rapid AI adoption.

2. Invicti

Invicti is an application security platform built around dynamic application security testing (DAST), with additional ASPM capabilities for managing and prioritizing risk. The platform focuses on testing running applications, validating exploitable vulnerabilities, and reducing manual triage. It also supports integrations with CI/CD, issue tracking, identity, WAF, and DevSecOps tools so findings can be routed into existing development and security workflows.

Key features include:

• API security support: Provides testing and integrations for APIs, including tools such as Azure API Management, Amazon API Gateway, Apigee, and MuleSoft.
• DAST-first testing: Tests running web applications and services to identify runtime vulnerabilities.
• Proof-based validation: Validates exploitable vulnerabilities to reduce false positives and unnecessary triage.
• Application security posture management: Aggregates and prioritizes security alerts across the application security stack.
• CI/CD and issue tracking integrations: Connects with development pipelines and tools such as GitHub Actions, GitLab CI/CD, Jenkins, Jira, and Azure Pipelines.

Source: Invicti

3. Checkmarx

Checkmarx One is a cloud-native application security platform that provides visibility and security testing across the entire software development lifecycle. The platform consolidates multiple testing techniques and security signals into a single environment, enabling teams to analyze code, detect vulnerabilities, and prioritize remediation. It integrates with developer tools and pipelines so that security checks occur within existing workflows.

Key features include:

• Unified application security platform: Combines multiple AppSec capabilities in one platform to provide visibility from code development through deployment.
• AI-powered prioritization and remediation: Uses AI-based analysis to filter noise, reduce false positives, and highlight the most critical risks for faster remediation.
• Developer workflow integration: Integrates with IDEs, source control systems, and CI/CD pipelines so developers can address vulnerabilities without leaving their workflow.
• Large-scale code analysis: Designed to scan very large codebases and high-velocity development pipelines, handling billions of lines of code across organizations.
• Centralized risk visibility: Correlates security signals across tools and provides reporting dashboards to track security posture and vulnerabilities across projects. 

Source: Checkmarx

4. OpenText (formerly Fortify)

OpenText application security testing solutions, previously known as Fortify, provide a suite of tools that support security testing throughout the software development lifecycle. The platform includes static, dynamic, and interactive testing technologies designed to identify vulnerabilities during development, testing, and runtime stages. These capabilities can be managed through centralized management tools that aggregate results, enforce policies, and support compliance reporting. 

Key features include:

• Static code analysis (SAST): Analyzes source code to detect vulnerabilities early in the development lifecycle and integrates with development tools.
• Dynamic application security testing (DAST): Tests running applications to identify runtime vulnerabilities in web applications and services.
• Interactive application security testing (IAST): Monitors applications during functional testing to detect vulnerabilities based on runtime behavior.
• Centralized security management: Provides a platform to manage test results, enforce policies, and generate security and compliance reports.
• Flexible deployment options: Supports both on-premises and cloud-based deployments for organizations with hybrid or regulated environments.  

Source: OpenText

Developer-centric / Code-focused AppSec platforms

5. Black Duck

Black Duck provides application security testing tools that support multiple stages of the software development lifecycle. Its portfolio includes SAST, SCA, DAST, IAST, fuzz testing, ASPM, and IDE-based developer tooling. The platform is designed to help teams test proprietary code, AI-generated code, infrastructure-as-code templates, open source dependencies, containers, APIs, web applications, protocols, and services.

Key features include:

• Static application security testing: Finds security and quality issues in proprietary code, AI-generated code, and IaC templates.
• Software composition analysis: Detects vulnerable open source dependencies and container risks.
• Dynamic and interactive testing: Tests web applications, APIs, and runtime behavior to identify security issues.
• Protocol fuzzing: Helps uncover zero-day vulnerabilities in protocols and services.
• Centralized risk management: Aggregates findings across AppSec tools and teams to standardize policies and provide a unified view of risk posture.

Source: BlackDuck

6. Veracode

Veracode provides an application security platform focused on identifying and managing software risks throughout the software development lifecycle. Its platform analyzes application code, dependencies, and development processes to detect vulnerabilities and prioritize remediation. The platform uses proprietary vulnerability data and automated analysis to reduce false positives and provide developers with guidance for fixing security flaws.

Key features include:

• Application risk management platform: Provides centralized visibility into vulnerabilities across the software development lifecycle.
• AI-assisted vulnerability detection: Uses AI-driven analysis and a large vulnerability dataset to detect and prioritize security flaws.
• Software supply chain protection: Identifies risks in third-party and open source dependencies used in applications.
• Root cause analysis and remediation guidance: Helps developers understand the cause of vulnerabilities and apply targeted fixes.
• SDLC integration: Supports integration across development phases so teams can identify and address vulnerabilities earlier in the process. 

Source: Veracode

7. Snyk

Snyk is a developer-focused application security platform that embeds security testing directly into the software development process. The platform helps teams detect and fix vulnerabilities in proprietary code, open source dependencies, container images, and infrastructure configurations. It integrates with developer tools and CI/CD pipelines to provide security feedback during development and automate remediation processes.

Key features include:

• Static code analysis for developers: Detects vulnerabilities in proprietary code and provides remediation suggestions within developer workflows.
• Open source dependency scanning: Identifies vulnerabilities in third-party libraries and helps teams update or patch insecure versions.
• Container and infrastructure scanning: Analyzes container images and infrastructure-as-code configurations for vulnerabilities and misconfigurations.
• Developer tool integrations: Connects with IDEs, source repositories, CI/CD systems, and collaboration tools to embed security testing into development pipelines.
• Security intelligence database: Uses a curated vulnerability database to provide remediation advice and context for detected issues. 

Source: Snyk

8. GitHub Advanced Security

GitHub Advanced Security provides built-in security capabilities within the GitHub platform to help developers identify and fix vulnerabilities in source code and dependencies. The solution includes tools for code scanning, secret detection, and dependency analysis, enabling security checks to occur directly within repositories and pull request workflows. These features allow organizations to enforce security practices across development teams.

Key features include:

• Code scanning: Detects vulnerabilities and coding errors using CodeQL or integrated third-party analysis tools.
• Dependency review: Shows the security impact of dependency changes and identifies vulnerable packages before merging pull requests.
• Secret scanning: Detects credentials such as API keys or tokens committed to repositories and generates alerts.
• Push protection: Blocks commits that contain detected secrets to prevent accidental exposure.
• Security overview dashboards: Provides organization-level visibility into security alerts, vulnerabilities, and remediation progress across repositories. 

Source: GitHub

Evaluation criteria for selecting an application security testing provider

Adoption by developers

A key factor in evaluating AST providers is how well their tools integrate into developer workflows. Solutions should offer IDE plugins, command-line tools, and integrations with source control, CI/CD systems, and issue trackers. This reduces friction and encourages consistent use of security tools throughout development.

Usability also matters—tools with clean UIs, actionable results, and remediation guidance help developers fix issues faster. Developer adoption tends to be higher with platforms that prioritize speed, minimize false positives, and support real-time feedback directly within the IDE.

Coverage

Effective security testing requires broad coverage across languages, frameworks, platforms, and application types. Leading providers support not only web and mobile apps but also APIs, containers, infrastructure-as-code, and cloud-native environments.

Support for multiple testing types (SAST, DAST, SCA, IAST, etc.) within a single platform ensures that vulnerabilities can be caught at different stages. Broader coverage helps ensure all assets—internal tools, legacy systems, and third-party components—are included in security assessments.

Scale and performance

Enterprise-grade AST platforms must scale across thousands of applications and support large, distributed development teams. Performance considerations include scan speed, parallel processing capabilities, and support for incremental or differential scans to avoid unnecessary delays.

The ability to manage testing across multiple business units, integrate with governance frameworks, and provide role-based access control (RBAC) is essential for managing security at scale.

Cost and licensing model

Pricing structures vary widely, with some providers offering per-seat, per-scan, or application-based licensing. It’s important to evaluate cost against expected usage and team size. Predictable pricing models and flexibility in licensing (e.g., support for open source or internal tools) can significantly impact total cost of ownership.

Consider also the cost of false positives and manual triage—tools that reduce noise and automate remediation can deliver better value even if their upfront cost is higher.

Accuracy

High accuracy is essential to avoid alert fatigue and reduce time spent on false positives. Look for providers that validate findings—especially in DAST and SAST tools—and offer confidence scores or exploitability ratings. Built-in prioritization, correlation across scan types, and integration with threat intelligence enhance accuracy. Tools that consistently deliver actionable and verified findings improve both security posture and developer trust in the system.

Conclusion

Application security testing providers help organizations build secure software by embedding security across the development lifecycle. Their tools allow teams to detect vulnerabilities early, enforce security policies, and scale risk management across diverse application environments. With evolving threats and increasingly complex architectures, these platforms provide the technical depth and automation needed to secure modern applications efficiently.