Adaptive Zero Trust AI Gateway
Research into prompt inspection, explainable risk decisions, output filtering, adaptive trust, and audit trails for safer AI model access.
Lab
Applied research for safer digital systems.
The Lab is the research and experimentation side of GT Research Lab. It focuses on applied cybersecurity, AI security, automation, and secure digital infrastructure.
Active Programmes
Research themes connected to real prototypes and technical exploration.
AI Firewall / API Interceptor
Experimental API gateway patterns for routing AI traffic through authentication, policy enforcement, request checks, provider control, and structured logs.
MemScope Forensic Correlation
Prototype work around memory artefact analysis, Volatility3 outputs, suspicious activity correlation, and clearer investigation interfaces.
SOC Monitoring Interface
Interface concepts for alerts, attack timelines, model posture events, risk signals, and Zero Trust decision visibility.
Focus Areas
Research grounded in practical system design.
AI Security
Internal research into safer AI workflows, data boundaries, reviewable outputs, and practical controls around AI-assisted systems.
Zero Trust Systems
Technical exploration around access control, least privilege, request validation, and security-conscious architecture.
Cybersecurity Automation
Proof-of-concept systems for repeatable checks, documentation support, and security workflow improvement.
Research Intelligence
Experimental prototypes for organising technical knowledge, project notes, reports, and applied research material.
Secure Business Workflows
Applied security ideas for business processes, internal tools, forms, approvals, and operational digital systems.
Research Philosophy
Security systems should be explainable, observable, and controlled.
Security-first AI
AI systems should be designed with verification, policy, visibility, and control from the beginning.
Observable decisions
Security tools become more useful when their decisions can be inspected, explained, and challenged.
Adaptive trust
Access should respond to behaviour, context, risk, and evidence instead of assuming anything is safe.
Forensic visibility
Good systems leave useful traces for investigation, learning, and future improvement.
Research Mode
Measured experimentation, not empty claims.
The Lab works through internal research, experimental prototypes, proof-of-concept systems, applied security ideas, and technical exploration.
Internal research
Experimental prototypes
Proof-of-concept systems
Applied security ideas
Technical exploration