AI Security
Exploring how AI can strengthen security while addressing reliability, explainability, privacy and misuse risks.
Explore area Independent research labCybersecurity × AI
Researching the future of cybersecurity & AI security.
Decod3dLabs investigates emerging security problems, develops practical prototypes and transforms complex research into clear, useful solutions for modern cyber defence.
AI security
Research + building
Research-ledEvidence before assumptions
AI securitySecure, explainable intelligence
Practical projectsIdeas tested through building
Human-centredTechnology that supports analysts
Core areas
View research agendaWhere research becomes security innovation.
Our work sits at the intersection of cyber defence, artificial intelligence, security operations and practical experimentation.
Cyber Innovation
Studying emerging threats, new defensive approaches and opportunities to improve modern cybersecurity.
Explore areaSecurity Operations
Investigating SIEM, SOAR, alert fatigue, incident triage, playbooks and analyst-supporting automation.
Explore areaProjects & Prototypes
Turning research questions into dashboards, detection workflows, experiments and open technical projects.
Explore projectsFeatured research
AI-assisted security operations
Exploring a clearer, more adaptive connection between detection, investigation, explanation and response.
Current direction
Reducing friction between SIEM, SOAR and the analyst.
Our ongoing work studies how intelligent assistance can reduce alert overload, improve context, simplify playbooks and help analysts make faster, explainable decisions.
SIEMSOARAlert fatigueExplainable AIHuman-in-the-loop
- Identify operational gaps through structured literature review.
- Connect research findings to practical system layers and workflows.
- Prioritise explainability, analyst control and responsible automation.
Selected work
All projectsBuilt to learn. Designed to solve.
Projects are used as a bridge between research ideas and practical cybersecurity outcomes.
Completed prototype
AI-Based Threat Detection & SOC Dashboard
Machine-learning anomaly detection, LLM-assisted incident explanations and interactive SOC visualisation.
PythonIsolation ForestStreamlit
View project Active development
Security Detection & Attack Simulation Lab
A practical environment for attack simulation, endpoint telemetry and detection engineering.
SplunkSysmonWindows
View project Research phase
XSAR / AXSAR Research Direction
A research-led concept for explainable, adaptive and analyst-centred security automation.
SIEMSOARExplainable AI
View project Our approach
From a difficult question to a useful outcome.
Decod3dLabs combines careful research, technical experimentation and clear communication.
Research
Study literature, technologies, operational problems and emerging security challenges.
Explore
Form questions, compare approaches and identify practical opportunities.
Build
Develop prototypes, workflows, dashboards and technical experiments.
Explain & improve
Communicate findings clearly, validate assumptions and refine the work.
Our purpose is not to add more noise to cybersecurity. It is to understand the problem, explain it clearly and build something meaningful from that understanding.
Latest insights
All insightsComplex security ideas, decoded clearly.
Alert fatigue is not simply “too many alerts”
Why alert quality, false positives, missing context and repeated exposure matter more than raw volume alone.
Read insightWhy explainability matters in an AI-assisted SOC
An automated recommendation becomes useful only when an analyst can understand and verify its reasoning.
Read insightThe gap between SIEM detection and SOAR response
How context, playbook design and human judgement shape the space between an alert and an action.
Read insightInterested in research, collaboration or a security project?
Connect with Decod3dLabs to discuss ideas, research directions and practical cyber innovation.