Guest Author: Or Hillel, Green Lamp
Applications form the basis of how organizations can provide services, connect with customers, and manage critical operations. All transactions, interactions, and workflows run in a web app, mobile interface, or API. Its central role has made the application one of the most attractive and frequently targeted entry points for attackers.
As software becomes more complex, security risks are the same as they span microservices, third-party libraries, and AI-powered features. Traditional scanning methods struggle to accommodate rapid release cycles and distributed architectures. This has opened the door to AI-driven application security tools. This brings automation, pattern recognition, and prediction capabilities to areas that once relied heavily on manual reviews and static checks.
Best Practices for Using AI AppSec Tools
To get the most value from AI-powered application security, teams need to follow some key best practices.
- Shifting security left: The tools are integrated early in SDLC, causing problems before production.
- Combining approaches: Use AI tools along with traditional SAST, DAST, and manual reviews to cover all bases.
- Enable continuous learning: Choose solutions that will improve over time by taking threat intelligence and user feedback.
- Put the human in a loop: AI needs to be enhanced, not replaced, of human judgment. Complex decisions still require security experts.
- To suit compliance: Make sure your AI-powered survey results can be mapped to regulatory requirements such as SOC 2, HIPAA, and GDPR.
5 Best AI-powered AppSec Tools of 2025
1. car
Apiiro is reinventing the way organizations assess and manage risks in modern software supply chains. It implements true risk intelligence beyond legacy scans and provides full-stack contextual analytics with deep AI.
Apiiro not only brings visibility into code and dependencies, but also changes, developer actions, and the way business contexts shape risk. Its AI systems can process data from source control, CI/CD pipelines, cloud configurations, and user access patterns, and prioritize repairs based on business impact.
2. Mend.io
Mend.io has rapidly evolved into the foundations of an AI-driven AppSec ecosystem and addresses the full range of risks facing today’s software teams. Using machine learning and advanced analytics, mend.io is dedicated to addressing the security challenges of code generated by both human and artificial intelligence.
Major organizations are drawn to Mend.io’s unified platform. It provides seamless coverage of source code, open source, containers, and AI-generated functional logic. Its capabilities go far beyond detection, allowing for fast, automated, contextual remediation that saves engineering time and reduces business exposure.
3. Bellp Suite
Burp Suite has long been a fundamental tool for web application security professionals, but with the latest AI-driven evolution it is essential to protecting the landscape of cutting-edge apps. Today, Burp Suite combines the strengths of traditional manual penetration testing with sophisticated machine learning to provide smarter scanning and deeper insights than ever before.
If your legacy dust (dynamic application security test) tool struggles with modern, dynamic, or API-rich applications, the Burp Suite AI modules adapt to real-time changes and learn from traffic patterns and user behavior to reveal anomalies and spots difficult vulnerabilities.
4. Pentestgpt
Pentestgpt represents the future of automated attack security, which uses generated AI to simulate modern enemy tactics. Unlike pattern-based scanners, Pentestgpt can devise new attack paths, generate custom payloads, and think creatively about bypassing control and protection.
Pentestgpt blends autonomous testing and educational support. Security analysts, testers, and developers can interact with the platform in a conversational way and gain practical guidance for complex scenarios and real-world development and development.
5. Garak
Garak is an emerging leader specializing in security for AI-driven applications, particularly large language models, generation agents, and integration into broader software systems. As organizations increasingly embedding AI into customer interaction, business logic and automation, new risks have emerged that traditional AppSec tools are not simply built to deal with them.
Garak is designed to investigate and enhance these AI injection interfaces, ensuring that your models are safe and prevent AI-specific exploits such as rapid injection and privacy invasion.
Core features of AI-driven AppSec tools
Not all solutions offer the same functionality, but most AI-powered application security tools share some core functionality.
1. Intelligent Vulnerability Detection
AI models trained on large datasets of known exploits can find coding errors, misunderstandings, and unsafe dependencies more accurately than static rule-based tools. They adapt over time and improve detection with each new dataset.
2. Automatic repair guidance
One of the main issues with AppSec is not only finding vulnerabilities, but knowing how to fix them. AI tools can generate repair advice tailored to a specific context, and often provide code suggestions and step-by-step modifications.
3. Continuous monitoring and real-time analysis
Instead of a one-time scan, AI-powered tools continuously monitor applications in production. Analyze runtime behavior, API calls, and data flow to find anomalies that could indicate an active attack.
4. Risk prioritization
AI can assess the severity of each vulnerability based on exploitability, business impact, and external threat intelligence. It ensures that your team focuses on the issues that are most likely to cause actual damage.
5. Integration with DevOps workflows
The latest AppSec tools are embedded directly in CI/CD pipelines, publishing trackers, and developer environments. AI accelerates these processes by automating tasks that previously slowed down builds or required manual monitoring.
Build resilient software in the AI world
AI-powered application security is not a single tool, process, or department. This is the foundation on which resilient, innovative and reliable software is built. In 2025, leaders in this field are those who scan for vulnerabilities, as well as those who can learn, adapt and protect the speed of AI-driven innovation.
From comprehensive risk intelligence and agile remediation to AI-generated code and the defense of AI agents themselves, today’s APPSEC solutions reshape what is possible and necessary for digital security in any industry.
Guest Author: Or Hillel, Green Lamp
