🔍 Quick Overview

The CATT-46 project has reached its midpoint, marking a significant milestone in our exploration of AI-driven cybersecurity. The first phase of penetration testing has already yielded valuable insights into both the capabilities and current limitations of artificial intelligence in addressing complex, real-world cyber threats.

📈 Project Progress

In collaboration with CyberSecDome, we have subjected their AI-powered penetration testing suite to a diverse set of realistic and high-stakes security scenarios designed to replicate the evolving landscape of IoT vulnerabilities. These tests have pushed the system to its limits, allowing us to observe how AI-based systems respond under dynamic and adversarial conditions.

Throughout the first half of the project, CyberSecDome has developed and deployed multiple custom plugins to simulate sophisticated attack vectors against our dedicated i46.io test environment. The test suite has included:

• Website penetration testing (with and without authentication credentials)
• Server–client penetration scenarios targeting both the i46 server and i46 client
• API-level penetration testing, focusing on endpoint resilience and data exchange integrity

These controlled experiments have provided a structured environment for evaluating AI’s adaptive decision-making and identifying opportunities for algorithmic improvement.

🔶 Next Steps

Looking ahead, the second phase of CATT-46 will extend these efforts by introducing more complex and persistent attack simulations. Our focus will shift toward assessing how effectively the AI maintains situational awareness across prolonged engagements and evolving threat conditions. In parallel, we are refining our testing methodology to ensure that every scenario produces quantifiable, actionable feedback—data that CyberSecDome can leverage to further optimize its security suite.

As the project progresses, the challenges will intensify. Yet, with each iteration, we move closer to understanding how AI can be harnessed as a proactive defender in the cybersecurity landscape, capable of anticipating and neutralizing threats at machine speed. The coming months promise to be both demanding and illuminating, and we look forward to sharing the next phase of our findings.