Challenge
The organization operated at Hybrid cloud + on-prem with fragmented tooling and unclear ownership between security, platform, and application teams. Incidents were detected late; changes lacked measurable acceptance criteria.
The organization operated at Hybrid cloud + on-prem with fragmented tooling and unclear ownership between security, platform, and application teams. Incidents w…
The organization operated at Hybrid cloud + on-prem with fragmented tooling and unclear ownership between security, platform, and application teams. Incidents were detected late; changes lacked measurable acceptance criteria.
Arekan mapped trust boundaries, data flows, and failure modes before writing code or rules. We ran staged pilots with rollback plans, defined SLOs for detection or retrieval quality, and aligned deliverables to audit evidence requirements.
We implemented production-ready components using ELK, Wazuh, Kafka with infrastructure-as-code, monitored rollouts, and handover runbooks. Customer identities remain confidential; this case reflects a composite of anonymized enterprise engagements.
Stack selected for interoperability, operability, and audit evidence.
Customer identities are confidential. Metrics represent anonymized composite outcomes from Arekan delivery work.
AI, Cybersecurity & Enterprise Software Engineering
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We build secure, AI-powered digital platforms for ambitious companies across Europe, the Middle East and the Gulf region.