The 5 best AI AppSec tools in 2025

Key Takeaways
- Applications are central to modern business but are increasingly targeted due to growing complexity and distributed architectures.
- Traditional security scanning methods are inadequate for keeping pace with rapid development cycles and complex software stacks.
- AI-driven application security tools are emerging as essential solutions, offering automation, pattern recognition, and predictive capabilities.
- Best practices for AI security adoption include shifting security left, combining AI with traditional methods, and maintaining human oversight.
- Specific AI-enhanced tools like Apiiro, Mend.io, Burp Suite, and PentestGPT are leading the transformation in application and supply chain risk management.
Applications have become the core infrastructure for modern organizations, handling everything from customer interactions to critical operations, which consequently makes them highly attractive targets for cyber attackers. As software architectures evolve to include microservices, third-party libraries, and AI functionality, the associated security risks intensify, often outpacing the capabilities of legacy scanning techniques and rapid release cycles. This challenge has spurred the rise of AI-driven application security tools that provide superior automation, pattern recognition, and predictive threat analysis. To maximize the benefit of these new tools, best practices dictate integrating them early in the development lifecycle (Shift Left), using them to augmentânot replaceâhuman expertise, ensuring continuous learning, and mapping results to compliance mandates like GDPR or SOC 2. The article highlights several key players in this evolving landscape, including Apiiro, which focuses on contextual risk intelligence in the software supply chain; Mend.io, offering a unified platform for code, containers, and AI-generated logic; Burp Suite, which integrates machine learning into traditional penetration testing; and PentestGPT, which uses generative AI for autonomous offensive security simulations.



