The 5 best AI AppSec tools in 2025

The 5 best AI AppSec tools in 2025

Estimated Reading Time: 7 minutes

• The increasing complexity of software and sophisticated cyber threats make AI-driven AppSec solutions indispensable for modern businesses.
• Effective implementation of AI AppSec involves shifting security left, combining approaches, enabling continuous learning, and keeping human expertise central.
• Leading AI AppSec tools like Apiiro, Mend.io, Burp Suite, PentestGPT, and Garak offer diverse capabilities from risk intelligence to AI-specific threat defense.
• Core capabilities of advanced AI AppSec include intelligent vulnerability detection, automated remediation guidance, continuous monitoring, and smart risk prioritization.
• AI AppSec is evolving from a mere tool to a foundational strategy for building resilient, innovative, and trustworthy software in an AI-powered world.

• The 5 best AI AppSec tools in 2025
• The Critical Need for AI in AppSec
• Best Practices for Implementing AI AppSec Tools
• Leading the Charge: The 5 Best AI-Powered AppSec Tools of 2025
  • Apiiro
  • Mend.io
  • Burp Suite
  • PentestGPT
  • Garak
• Core Capabilities of Advanced AI AppSec Solutions
  • Intelligent vulnerability detection
  • Automated remediation guidance
  • Continuous monitoring and real-time analysis
  • Risk prioritisation
  • Integration with DevOps workflows
• Building Resilient Software in an AI World
• FAQ Section

In today’s digital economy, software applications are the very engine of business, driving everything from customer engagement to critical operations. Yet, this central role also makes them prime targets for cyber threats. As applications grow in complexity, integrating microservices, third-party libraries, and AI, traditional security methods are struggling to keep pace. This evolution has paved the way for AI-driven application security (AppSec) tools, transforming how we protect our digital foundations.

The Critical Need for AI in AppSec

The landscape of application development is continuously evolving, pushing the boundaries of what traditional security measures can achieve. As Guest author Or Hillel from Green Lamp eloquently states:

Best Practices for Implementing AI AppSec Tools

Successfully integrating AI into your AppSec strategy requires a thoughtful approach. By following these best practices, teams can harness the full power of AI to build more secure applications:

• Shift security left: Integrate tools early in the SDLC so issues are caught before production.
• Combine approaches: Use AI tools alongside traditional SAST, DAST, and manual reviews to cover all bases.
• Enable continuous learning: Choose solutions that improve over time by ingesting threat intelligence and user feedback.
• Keep humans in the loop: AI should augment, not replace, human judgment. Security experts are still needed for complex decision-making.
• Align with compliance: Ensure AI-powered findings can be mapped to regulatory requirements like SOC 2, HIPAA, or GDPR.

Leading the Charge: The 5 Best AI-Powered AppSec Tools of 2025

1. Apiiro

   Apiiro is reinventing the way organisations assess and manage risk in the modern software supply chain. It moves beyond legacy scanning to implement true risk intelligence, offering full-stack, contextual analysis powered by deep AI.

   Apiiro brings visibility not only to what vulnerabilities exist in code and dependencies, but also to how changes, developer actions, and business context interact to shape risk. Its AI systems process data from source control, CI/CD pipelines, cloud configurations, and user access patterns, allowing it to prioritise remediation based on business impact.

2. Mend.io

   Mend.io has rapidly evolved into a cornerstone of the AI-driven AppSec ecosystem, addressing the full spectrum of risks facing software teams today. Using machine learning and advanced analytics, Mend.io is purpose-built to handle the security challenges of code produced by both humans and artificial intelligence.

   Leading organisations are attracted to Mend.io’s unified platform, which delivers seamless coverage for source code, open source, containers, and AI-generated functional logic. Its capabilities extend far beyond detection, enabling rapid, automated, and context-rich remediation that saves engineering time and reduces business exposure.

3. Burp Suite

   Burp Suite has long been a foundational tool for web application security professionals, but its latest AI-driven evolution makes it essential for defending cutting-edge app landscapes. Today, Burp Suite combines traditional manual penetration testing strengths with sophisticated machine learning, delivering smarter scanning and deeper insight than ever before.

   Where legacy DAST (Dynamic Application Security Testing) tools might struggle with modern, dynamic, or API-rich applications, Burp Suite’s AI modules adapt to changes in real time, learning from traffic patterns and user behaviours to uncover anomalies and hard-to-spot vulnerabilities.

4. PentestGPT

   PentestGPT represents the future of automated offensive security, using generative AI to simulate the tactics of contemporary adversaries. Unlike pattern-based scanners, PentestGPT can devise new attack paths, generate custom payloads, and think creatively about bypassing controls and protections.

   PentestGPT blends autonomous testing with educational support: security analysts, testers, and developers can interact with the platform conversationally, gaining hands-on guidance for complex scenarios and real-world exploit development.

5. Garak

   Garak is an emerging leader specialising in security for AI-driven applications, specifically, large language models, generative agents, and their integration into wider software systems. As organisations increasingly embed AI into customer interactions, business logic, and automation, new risks have arisen that traditional AppSec tools simply weren’t built to address.

   Garak is designed to probe and harden these AI-infused interfaces, ensuring models respond safely and preventing AI-specific exploits like prompt injections and privacy breaches.

Core Capabilities of Advanced AI AppSec Solutions

While not every solution offers the same features, most AI-powered application security tools share several core capabilities:

1. Intelligent vulnerability detection

   AI models trained on massive datasets of known exploits can spot coding errors, misconfigurations, and insecure dependencies more accurately than static rule-based tools. They adapt over time, improving detection with each new dataset.

2. Automated remediation guidance

   One of the major pain points in AppSec is not just finding vulnerabilities but knowing how to fix them. AI tools can generate remediation advice tailored to the specific context, often offering code suggestions or step-by-step fixes.

3. Continuous monitoring and real-time analysis

   Instead of one-time scans, AI-powered tools continuously monitor applications in production. They analyse runtime behaviour, API calls, and data flows to spot anomalies that could indicate an active attack.

4. Risk prioritisation

   AI can evaluate the severity of each vulnerability based on exploitability, business impact, and external threat intelligence. The ensures that teams focus on the issues most likely to cause real damage.

5. Integration with DevOps workflows

   Modern AppSec tools embed directly into CI/CD pipelines, issue trackers, and developer environments. AI accelerates these processes by automating tasks that previously slowed down builds or required manual oversight.

The practical benefits of AI AppSec are already being realized. For instance, a major e-commerce platform struggling with a rapidly expanding microservices architecture adopted an AI-powered solution that integrated directly into their CI/CD pipeline. This led to a 40% reduction in critical vulnerabilities reaching production within six months, by automatically identifying and prioritizing issues that previously would have been missed by static scans or buried in endless reports. Furthermore, the AI’s continuous learning capabilities meant the system became increasingly effective over time, adapting to new attack vectors and reducing false positives.

Building Resilient Software in an AI World

AI-powered application security is not a single tool, process, or department, it’s the foundation on which resilient, innovative, and trusted software is built. In 2025, the leaders in this space are not just those who scan for vulnerabilities, but those who can learn, adapt, and protect at the velocity of AI-driven innovation.

From comprehensive risk intelligence and agile remediation to the defense of AI-generated code and AI agents themselves, today’s AppSec solutions are reshaping what’s possible, and what’s necessary, for digital security in any industry.

As we look towards 2025, the synergy between AI and application security is no longer a futuristic concept but a present-day imperative. The tools highlighted — Apiiro, Mend.io, Burp Suite, PentestGPT, and Garak — represent the forefront of this evolution, each bringing unique strengths to address the multifaceted challenges of securing modern software. They empower development and security teams to build, deploy, and operate applications with unprecedented speed and resilience, ensuring that innovation doesn’t come at the cost of security.

FAQ Section

• What is AI AppSec?
  AI AppSec (Application Security) refers to the use of artificial intelligence and machine learning technologies to enhance the security of software applications throughout their lifecycle. It automates vulnerability detection, risk prioritization, and even remediation guidance, adapting to modern, complex application architectures.

• Why is AI critical for application security?
  AI is critical because traditional security methods struggle to keep pace with the rapid development cycles, increasing complexity (microservices, third-party libraries, AI components), and evolving threat landscape of modern applications. AI brings automation, pattern recognition, and predictive capabilities that manual or rule-based systems cannot match.

• What are the core capabilities of AI AppSec tools?
  Core capabilities include intelligent vulnerability detection (more accurate than static tools), automated remediation guidance (offering code suggestions), continuous monitoring and real-time analysis, robust risk prioritization based on business impact, and seamless integration with DevOps workflows to accelerate security processes.

• How do I implement AI AppSec tools effectively?
  Effective implementation involves several best practices: shifting security “left” by integrating tools early in the SDLC, combining AI tools with traditional security methods, enabling continuous learning for the AI, keeping human security experts in the loop for complex decisions, and ensuring compliance alignment with regulatory requirements.

• What are some leading AI AppSec tools in 2025?
  Leading AI AppSec tools in 2025 include Apiiro (for risk intelligence and software supply chain), Mend.io (for unified platform security across code and open source), Burp Suite (for advanced DAST with AI adaptation), PentestGPT (for generative AI-powered offensive security), and Garak (specializing in security for AI-driven applications and LLMs).