The SECASSURED project is redefining how security assurance is integrated throughout the development and operation lifecycle of digital infrastructures. The project aims to strengthen software supply chains by introducing a data-driven, AI-empowered framework for assurance-driven security engineering that delivers continuous compliance, proactive threat management, and certifiable trustworthiness across the IoT-edge-cloud continuum.
SECASSURED
Security Assurance-driven AI-based Security Services for Trustworthy Security Engineering from Left-to-Right
The Concept
What is the SECASSURED Framework offering that’s different?
SECASSURED turns assurance into a continuous, intelligent process, delivering a data-driven, AI-powered, and continuously adaptive assurance ecosystem built around digital twins
Assurance-Driven Security Engineering
Security and compliance are integrated by design, evolving dynamically with system and regulatory changes.
Federated Digital Twins (SecDevTwin & SecOpsTwin)
Virtual, closed environments for secure development, testing, and operations—linking design-time assurance with real-time monitoring.
AI-Powered Security Services
A comprehensive catalogue of intelligent tools (for compliance interpretation, vulnerability repair, anomaly detection, and orchestration) powered by LLMs and human-centred AI.
Continuous Compliance & Trustworthiness
Automated alignment with EU cybersecurity, privacy, and AI regulations (GDPR, AI Act, ISO standards).
Scalable & Extensible Platform
Open APIs and modular architecture allow integration of new AI models, tools, and industry-specific solutions.
Human-Centred AI Approach
Blends expert knowledge with explainable AI to enhance decision-making and maintain transparency in automated assurance.
Use Cases
Proof of domain independence
Latest news
A mix of research updates, insights, and scientific publications
Voulkopoulou A, Kalouptsoglou I, Kehagias D, Tzovaras D. 2026. Context Matters: Vulnerability Categorization with Dual-Input Code Representations. LIFESEC 2026.
Conference: 2nd Workshop on Whole-Lifecycle Security for Smart Systems: Methods and Tools (LIFESEC 2026), collocated with the 12th IEEE International Conference on Smart Computing (SmartComp 2026) 22. June 2026, Messina, Italy Authors: Voulkopoulou A, Kalouptsoglou I, Kehagias D, Tzovaras D. Abstract: Nowadays, software security is considered an important aspect of…
Siavvas M, Kalouptsoglou I, Kehagias D, Tzovaras D. 2026. Cross-Domain Vulnerability Detection using LLMs: Knowledge Transfer from Contemporary Software to AI/ML-Specific Software. IJCNN 2026.
Conference: International Joint Conference on Neural Networks (IJCNN) 21-26. June 2026, Maastricht, Netherlands Authors: Siavvas M, Kalouptsoglou I, Kehagias D, Tzovaras D. Abstract: The increasing integration of artificial intelligence (AI), and particularly machine learning (ML), into software intensive systems raises security concerns for AI/ML-specific code. Although AI-based vulnerability detection models…
