Cloud & platform
- Microsoft Azure
- AWS
- Cloud-native application hosting
- Performance and observability tuning
Technologies
The stack behind our engineering and security work.
20+ technology variants across cloud, application, data and AI — powering custom delivery, with cyber security work on top, because detection only means something when you understand the systems producing the signal.
Platform stack
Cloud, application, data and AI.
Application engineering
- .NET 8 and later
- ASP.NET Blazor full stack
- .NET MAUI for cross-platform clients
- SAP, Oracle and Microsoft application work
- Custom ERP, SCM, CRM and eCommerce
Data platforms
- Microsoft SQL Server
- Oracle Database
- MongoDB
- Apache Cassandra
- ETL, data warehouse and data quality pipelines
Analytics & AI
- Power BI
- Tableau
- Python and the data science toolchain
- Supervised, unsupervised and reinforcement learning
- Cognitive computing and generative AI
- RPA and process automation
Security tooling
What we work with on the defense side.
Host intrusion detection
Digitus Egis agents, host event collection, file and process monitoring, firewall and log inspection.
SIEM and ITSM
Alert pipelines, correlation rules, ticket handoff and incident workflow alignment between detection and service management.
Audit and compliance
Log retention design, evidence packaging, control mapping and reporting for SOC-level and regulatory review.
Where machine learning applies
Applied ML, kept close to real detection problems.
RikArena uses machine learning where it earns its place in a security or business workflow — not as a headline. These are the patterns that recur across our work.
Classification
Malicious versus benign host behavior, diagnostics, image classification and fraud detection.
Clustering
Customer segmentation, asset grouping and unsupervised discovery of unusual host populations.
Regression & forecasting
Capacity, market and population forecasting, plus expected-baseline modelling for anomaly work.
Dimensionality reduction
Feature extraction and meaningful compression for high-volume telemetry and big-data visualisation.
The stack at a glance
Five layers, security on top.
Cloud and data at the foundation, application engineering in the middle, analytics and AI above — with the cyber security layer watching all of it.
Cyber SecurityHost intrusion detection, SIEM/ITSM, SOC-level auditing and compliance evidence.
Digitus EgisAnalytics & AIPower BI, Tableau, machine learning, generative AI, cognitive computing and RPA.
InsightData platformsSQL Server, Oracle, MongoDB, Cassandra, ETL, warehouse and data quality.
DataApplication engineering.NET 8, ASP.NET Blazor, .NET MAUI, SAP, Oracle and custom ERP / SCM / CRM.
BuildCloud foundationMicrosoft Azure and AWS, cloud-native hosting, performance and observability.
RunNeed this stack applied to your environment?
Tell us what you are running and where the visibility gaps are.