Company
GT Research Lab builds secure technology from research, engineering, and cybersecurity thinking.
We help businesses, founders, and technical teams design, build, automate, connect, research, and secure digital systems with a security-first and research-backed approach.
Base
London, United Kingdom
Research direction
Absolute Security, Zero Trust AI, digital forensics
Delivery focus
Web platforms, AI automation, APIs, cybersecurity
Public work
Public prototypes, tools, and learning systems
Who We Are
GT Research Lab is an independent technology and research company built around secure software, AI automation, cybersecurity, privacy research, and practical digital systems.
To create technology that is useful, secure, explainable, and respectful of people. GT Research Lab exists to turn research into systems that help businesses work better while reducing avoidable digital risk.
We sit between a research lab, a software studio, and a cybersecurity-focused technical partner. That means we do not only design screens; we think about data flow, access control, automation, security posture, deployment, monitoring, and long-term maintainability.
The company direction grows from practical work across Zero Trust AI systems, AI gateway security, SOC-style monitoring interfaces, digital forensics prototypes, secure web systems, learning platforms, autonomous repair concepts, and business automation workflows.
Company Identity
The company is defined by research, secure engineering, practical delivery, and long-term control.
What We Are
A security-first research and software company.
GT Research Lab combines software engineering, cybersecurity thinking, AI automation, and applied research to build systems that are practical for business and serious about risk.
What We Build
Web platforms, AI workflows, APIs, tools, and secure systems.
The company works across websites, web applications, dashboards, portals, APIs, automation engines, security dashboards, learning platforms, and research prototypes.
What We Study
Modern security, privacy, AI systems, and digital control.
Research themes include Absolute Security, personal data protection, Zero Trust AI, AI firewalls, digital forensics, SOC visibility, autonomous repair, and safer local-first tools.
Who We Help
Businesses, founders, teams, and people who need stronger technology.
GT Research Lab helps organisations move from unclear digital processes to systems that are easier to use, automate, monitor, secure, and improve.
What We Believe
Strong systems come from careful thinking before implementation.
- Security before shortcuts
- Research before assumptions
- Clear systems before complexity
- Long-term reliability over quick appearance
- Practical solutions for real business problems
Founder
Founded by Shihab Sahoriar.
GT Research Lab was founded by Shihab Sahoriar, a London-based cybersecurity graduate with a Computer Science foundation and postgraduate focus in Cybersecurity & Digital Forensics, AI security research, digital forensics, and software system development.
What We Can Deliver
A capability base across software, automation, APIs, cybersecurity, research, and technical education.
- Secure websites and web applications
- Business dashboards, portals, and admin systems
- AI workflows, assistants, and automation engines
- API development, middleware, and integrations
- Cybersecurity review, hardening, and authorised testing
- Security monitoring, SOC-style interfaces, and incident readiness
- Digital forensics prototypes and investigation workflows
- Learning platforms, technical training systems, and developer tools
- Research papers, technical reports, and proof-of-concepts
- Product strategy, MVP planning, architecture, and technical consulting
How We Work
Research-backed, security-aware, and practical from the start.
01
Research
Study the problem, current technology, risk landscape, users, data flows, and possible failure points before deciding what should be built.
02
Design
Shape the architecture, interface, workflow, data model, security boundary, deployment path, and practical delivery plan.
03
Build
Develop the platform, automation, API, security tool, dashboard, learning system, or prototype with maintainable implementation.
04
Harden
Review access control, data exposure, deployment settings, logging, monitoring, documentation, and operational reliability.
05
Publish
Where research can help others, turn findings into papers, technical notes, demonstrations, or tools that may be open source or free to use.
Research Direction
The research side gives the company a deeper technical spine.
Absolute Security
Research into protecting personal systems, mobile phones, computers, laptops, and everyday workflows from unnecessary third-party data exposure.
Zero Trust AI
Prompt inspection, model posture, policy decisions, output review, trust scoring, and safer AI gateway patterns.
Digital Forensics
Memory artefact analysis, suspicious activity correlation, forensic datasets, attack chains, and investigation interfaces.
Autonomous Operations
Safe system observation, issue detection, policy-controlled remediation, verification, and audit-friendly automation.
Technical Education
Cybersecurity, Linux, programming, and infrastructure learning platforms that combine practical labs with structured progression.
Public Work
Public prototypes and research builds show what the company is exploring and building.
Zero Trust AI Gateway
Secure AI model access, policy-first inference, SOC monitoring, device trust, and browser extension flow.
MemScope
Forensic dashboard and backend for uploads, analysis, threat overview, investigations, and attack chains.
GT CyberLearner
Cybersecurity and computer fundamentals learning platform with structured paths and interactive learning components.
Linux Odyssey
Fully local Linux learning platform with terminal simulation, quests, labs, progression, and mastery tracking.
Autonomous Repair Agent
Safe system repair scaffold with snapshots, policy evaluation, remediation planning, verification, and audit trails.
Auto-Man
Automation engine for trend fetching, product scoring, AI content generation, performance tracking, and scaling decisions.
