Research that stays close to implementation.
Our interests are not abstract AI capability in isolation, but the systems required to make intelligence useful inside real operational environments.
Workflow orchestration
How intelligence and automation coordinate across the steps of real work, not just single tasks.
AI-readable information architecture
Structuring knowledge so humans, search engines, and AI systems read it the same way.
Sustainability systems
Operational and reporting infrastructure for environmental and resource accountability.
Governance-aware automation
Automation that carries its own audit trail, controls, and accountability by design.
Operational decision support
Giving teams the visibility, context, and evidence they need to make good decisions across a changing environment.
How Do I Secure Our CI/CD Pipelines and GitHub Actions?
Why pipelines are now a favourite target, a practical hardening checklist for GitHub Actions and other CI/CD systems, and where the tools still leave gaps.
Read the research →How Do We Choose an Enterprise Architecture Tool in 2026?
What changed in the EA tools market in 2026, the 15 vendors Gartner evaluated, five questions to ask before you buy, and where AI agents fit.
Read the research →How Do We Reduce Our Application Security Backlog?
A practical plan for shrinking a security findings backlog: measure it properly, cut the noise, route to owners, fix in batches and stop it refilling.
Read the research →How Do I Secure Vibe-Coded Apps Built by People Who Aren't Developers?
A practical process for finding, owning, scanning and fixing apps that people outside engineering have built with AI.
Read the research →Do You Need More Than One Application Security Testing Tool?
Gartner's 2025 comparison of 16 AST vendors found none that covers the whole field. What each vendor is good at, the work that falls between the tools, and where AI agents fit.
Read the research →Work with us on hard, real problems.
Collaboration is most valuable where research questions are connected to real constraints: legacy systems, imperfect data, regulated workflows, and measurable implementation outcomes. Open to academic and industry partners.
research@arithim.com →