AI Security - Adapting to Evolving Application Threats
Basically, AI is changing how applications are attacked, and security teams can’t keep up.
The 2026 Web Application Security Report reveals alarming gaps in application security against AI threats. Organizations struggle with visibility and response times, risking their security posture. It's time to rethink how we secure our applications in this evolving landscape.
What Happened
The 2026 Web Application Security Report highlights a critical gap between AI adoption and application security readiness. Conducted with over 800 security professionals, the survey reveals that only 29% of respondents feel confident in their overall application security posture. This drops dramatically to 15% for AI-integrated applications and 12% against AI-generated attacks. The findings underscore a disconnect between the rapid evolution of modern web applications and the outdated security measures still in place.
As AI becomes integrated into application logic, workflows, and APIs, the traditional security controls are proving inadequate. Static controls are unable to monitor the dynamic behavior of AI-driven applications, leading to significant visibility gaps. This is particularly concerning as organizations increasingly rely on APIs, which are viewed as the highest-risk application category by 67% of respondents.
Who's Affected
The report indicates that 67% of security professionals believe APIs represent a high-risk area, yet only 13% are confident they know all applications and APIs in use. This lack of visibility is alarming, especially as AI accelerates changes in application environments. Endpoints are generated dynamically, and shadow AI tools operate without standard controls, making it difficult for organizations to maintain a secure posture.
Moreover, 74% of organizations have reported an increase in AI-generated or AI-assisted attacks. Credential-based attacks, which account for 58% of incidents, are particularly concerning as they exploit normal access paths, making detection challenging. This situation places organizations at heightened risk, as they struggle to keep up with evolving threats.
Detection and Response Are Not Keeping Pace
Alarmingly, only 20% of organizations detect incidents within hours, with many taking over a week or even a month to respond. This lag in detection is primarily due to fragmented signals across various systems, which hampers the ability to recognize threat activity as a connected pattern. The lack of shared context among different security tools leads to delayed responses, extending the exposure window for potential breaches.
The report also highlights that 5% of organizations are satisfied with their current application security tools. Many are looking to consolidate solutions to address critical operational issues, including inconsistent policy enforcement and high false positive rates. The fragmentation of tools further complicates detection and response efforts, making it imperative for organizations to rethink their security strategies.
What Is Needed from Application Security
To effectively address these challenges, organizations must adopt a holistic approach to application security. Continuous discovery across applications and APIs is essential, as is the ability to inspect and enforce security measures in real-time. This requires a shared context across enforcement points to ensure that detection and response mechanisms are aligned with how attacks operate.
The FortiAppSec Cloud solution emerges as a potential answer to these challenges. By integrating web application and API security, it provides a unified platform that enforces consistent policies and shares telemetry across the entire application surface. This integrated approach aims to bridge the visibility gaps and enhance the overall security posture of organizations facing AI-driven threats.