Work

Selected work across client systems, research projects, and internal prototypes.

Private client details are only shared with permission. Research and internal projects are presented as applied technical exploration.

Applied research and automation workspace representing selected GT Research Lab work.

Private Client Work Business Website / Digital System AI Security Research Zero Trust AI Gateway AI Gateway Security AI Firewall / API Interceptor Digital Forensics Prototype MemScope Memory Forensics Security Operations UI SOC Monitoring Interface Research Intelligence Prototype GT Brain Private Client Work Secure Web Platform / Automation System

Private Client Work

Client Project 01 — Business Website / Digital System

Client details are private due to confidentiality.

Overview

A private client project focused on creating a structured digital presence and improving business operations through a custom web-based system.

Problem

The client needed a clearer online presence and a more organised way to present services, receive enquiries, and manage digital communication.

Solution

GT Research Lab designed and developed a professional website structure with clear service pages, enquiry flow, mobile responsiveness, and security-focused deployment.

Technologies

Responsive web development, structured content architecture, contact flow design, hosting configuration, and deployment support.

Security Considerations

Secure form handling, HTTPS deployment, basic spam protection, controlled admin access, and careful handling of client data.

Outcome

The client received a clearer service presence and a more dependable route for enquiries and digital communication.

Status

Private client work.

AI Security Research

Zero Trust AI Gateway — AI Security Research

Overview

An adaptive research architecture for safer open-source AI model access, developed around Zero Trust thinking, explainable policy decisions, and SOC-style monitoring.

Problem

AI systems can introduce data leakage, prompt injection, adversarial misuse, weak approval boundaries, and insufficient audit visibility when model access is treated as a simple API call.

Solution

The gateway evaluates model posture, inspects prompts, applies ALLOW / CHALLENGE / BLOCK policy decisions, filters outputs, and writes explainable risk records for review.

Technologies

Python, FastAPI, PostgreSQL, SQLAlchemy, React, TypeScript, Next.js, Docker, policy logic, security event logging.

Security Considerations

Zero Trust enforcement, prompt and output inspection, contextual risk scoring, explainable audit trails, least privilege access, and SOC-style visibility.

Outcome

The research gives GT Research Lab a practical foundation for designing controlled AI workflows where business users need visibility, policy, and safer integration patterns.

Status

MSc dissertation research and internal prototype.

AI Gateway Security

AI Firewall / API Interceptor — Secure AI Middleware

Overview

An experimental middleware concept that lets external applications route AI traffic through a security layer before it reaches a model provider.

Problem

Applications adopting AI often need practical controls around prompts, keys, policies, and logging without rebuilding their full application architecture.

Solution

The interceptor explores client API key authentication, request inspection, policy enforcement, provider routing, output inspection, and structured event logs.

Technologies

FastAPI, API gateway patterns, client API keys, AI firewall logic, Docker, middleware security design.

Security Considerations

Prompt inspection, provider isolation, policy checks, controlled API access, output review, structured logs, and reduced blind trust in AI traffic.

Outcome

The project supports future client work where AI features need a clearer security boundary before being added to business systems.

Status

Experimental research build.

Digital Forensics Prototype

MemScope Memory Forensics — Investigation Prototype

Overview

A forensic research prototype focused on ingesting and analysing memory artefacts, correlating suspicious activity, and visualising investigation signals.

Problem

Memory evidence can be difficult to inspect quickly when process, network, DLL, command, and timeline signals are spread across raw artefacts.

Solution

MemScope explores structured evidence ingestion, correlation views, and investigation interfaces that make forensic signals easier to inspect.

Technologies

FastAPI, React, PostgreSQL, Volatility3, forensic parsing, investigation interfaces.

Security Considerations

Forensic visibility, evidence structure, suspicious activity correlation, investigation traceability, and clearer review workflows.

Outcome

The prototype strengthens GT Research Lab's cybersecurity review perspective by connecting software systems with investigation thinking.

Status

Prototype / research build.

Security Operations UI

SOC Monitoring Interface — Threat Visibility Module

Overview

A SOC-style dashboard module for visualising alerts, user anomalies, attack timelines, threat heatmaps, model posture events, and Zero Trust decision logs.

Problem

Security decisions are hard to trust if they disappear into logs without a readable operational view.

Solution

The dashboard explores clearer monitoring states, event timelines, model posture events, risk signals, and security analytics for AI gateway systems.

Technologies

React, TypeScript, security analytics, monitoring interfaces, threat intelligence concepts, UI system design.

Security Considerations

Audit-friendly interfaces, anomaly visibility, alert review, decision traceability, and operational monitoring for AI security systems.

Outcome

The work informs how GT Research Lab designs admin interfaces, internal tools, and monitoring views for client systems.

Status

Active UI module.

Research Intelligence Prototype

GT Brain — Research Intelligence Prototype

Overview

An internal prototype focused on organising technical notes, research signals, project knowledge, and security-related documentation.

Problem

Research-heavy technical work can become difficult to retrieve, connect, and convert into useful project decisions.

Solution

GT Brain explores structured knowledge capture, document organisation, topic mapping, and AI-assisted retrieval for technical research workflows.

Technologies

Knowledge architecture, document processing, AI-assisted search concepts, workflow mapping, and internal prototype development.

Security Considerations

Private knowledge boundaries, controlled access, careful handling of sensitive notes, and clear separation between internal and client material.

Outcome

The prototype informs how GT Research Lab approaches research-backed delivery and internal technical intelligence.

Status

Experimental prototype.

Private Client Work

Client Project 02 — Secure Web Platform / Automation System

Client details are private due to confidentiality.

Overview

A private business system designed to improve internal workflows through a secure web platform and practical automation.

Problem

The client needed to reduce manual coordination, organise requests, and improve the reliability of routine operational tasks.

Solution

GT Research Lab structured a web-based workflow with role-aware access, clear task states, request tracking, and automation support for repeatable processes.

Technologies

Web application architecture, automation workflow design, database-backed records, dashboard views, and deployment planning.

Security Considerations

Access control planning, protected admin areas, secure deployment guidance, reduced data exposure, and basic audit-friendly system structure.

Outcome

The project established a more organised operational system and a stronger foundation for future automation.

Status

Private client work.