Research Topics, Methodologies & Facilities

● Countering cyberattacks against AI/ML (e.g. Model Extraction, Bias Introduction, Reflexive Adaptation & Data Repudiation [RADaR])
● Advanced machine augmented learning architectures (e.g. SqP/SyP) that are resistent to cyberattack
● Neuromorphic computation applied to the cyber security arena 
● Applied Machine Learning - Hybrid cybersecurity for blended attacks 
● Augmented Identification and Authentication - Similarity heuristics and hylomorphic analytics 
● Alternative Quantum data structures supportive of Quantum Machine Learning (QML)
● Enhanced, blended cybersecurity modeling using formal frameworks 
(E.g. NIST CSF  -  ISO27K  -  NCSC-CAF)
● Commercial Quantum Readiness Programme
● Methodology Interoperation (e.g.CDD[CMM]/NIST-CSF/MITREAtt&ck)
● Strict and full PRINCE-II Development Disciplines (Internal to CDD)