Guest author: Or Hillel, Green Lamp
Applications have become the foundation of how organisations deliver services, connect with customers, and manage important operations. Every transaction, interaction, and workflow runs on a web app, mobile interface, or API. That central role has made applications one of the most attractive and frequently-targeted points of entry for attackers.
As software grows more complex, spanning microservices, third-party libraries, and AI-powered functionality, so do the security risks. Traditional scanning methods struggle to keep up with rapid release cycles and distributed architectures. This has opened the door for AI-driven application security tools, which bring automation, pattern recognition, and predictive capabilities to a field 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 should follow some key best practices:
- 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.
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…
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