Co-Founder & CTO of Areebi. Previously led AI/ML platform engineering at a top-tier cloud provider. Built and scaled infrastructure serving 50M+ API calls daily across regulated industries. PhD in Computer Science.
7 articles published
The definitive enterprise guide to AI control planes. Learn what an AI control plane is, why your organization needs one in 2026, the five pillars of effective AI control, industry use cases, deployment models, and how to evaluate platforms for centralized AI management and governance.
A week-by-week implementation guide for deploying Areebi's AI control plane. Covers SSO integration, DLP configuration, workspace setup, compliance automation, shadow AI discovery, and post-deployment optimization for mid-market enterprises.
AI gateways handle API routing and load balancing for LLM traffic. AI control planes provide full governance, DLP, compliance, and audit capabilities on top of routing. Learn the differences, when each is appropriate, and why enterprises increasingly need a control plane approach.
A practical step-by-step guide to building and deploying an enterprise AI control plane. Covers prerequisites, AI landscape assessment, policy definition, technical controls, compliance mapping, deployment, monitoring, and a build vs buy analysis for mid-market and enterprise organizations.
AI governance and AI compliance are related but distinct disciplines. AI governance is the broader organizational framework for responsible AI, while AI compliance is the subset focused on meeting specific regulatory requirements. Learn the differences, overlaps, and why you need both.
AI governance and AI security are related but distinct disciplines. Governance covers policies, accountability, and organizational controls. Security focuses on threat protection and data exposure prevention. Understanding both is essential for enterprise AI risk management.
A step-by-step framework for creating an AI governance program in a mid-market organization. Covers stakeholder alignment, policy development, tool selection, deployment, compliance mapping, and measurement with a 90-day implementation timeline.
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