Generative Automation of Security Penetration Tests
TRITON aims to revolutionize penetration testing, particularly for defense applications, by integrating advanced technologies such as Artificial Intelligence (AI) and automation. The project will enhance cybersecurity measures across various sectors, including civilian safety, military digital operations, and the protection of sensitive information within military Security Operations Centres (SOCs).
Key Objectives
Automated Cybersecurity
Assessments
Develop AI-driven tools and methodologies
to conduct comprehensive, large-scale
cybersecurity assessments.
Threat Model linked
with Mitigation Control
The TRITON Threat Model formalises: i) threats and risks; ii) assets to manifest some of the threats; iii) attack types; iv) vulnerabilities along with their exploitability and impact; and controls.
Advanced Penetration
Testing
Utilize stochastic decision processes
and Generative Adversarial Networks (GANs)
for both pre- and post-testing phases to
uncover vulnerabilities
DevSecOps
Integration
Ensure continuous, developer-centric security assessments throughout the
software development lifecycle.
Game Theory
for Cyber Defense
Employ intelligent game theoretic methods for optimizing cybersecurity decisions and recommendations
Real-world
Validation
Collaborate with military, research, and technological partners to validate the
TRITON framework in realistic environments.