Agent Security, Arabic AI, and Applied AI Products
I build inspectable AI systems that separate deterministic validation, model behavior, human review, and market evidence instead of treating them as interchangeable proof.
- MONNA ADIP β field-level trust analysis for AI-agent data paths.
- MONNA Semantic Firewall Studio β ontology- and policy-grounded admission decisions for model-proposed semantic paths.
- Arabic Agent Safety Bench β an early, unreleased seed benchmark for Arabic agent-safety research; native review and a model-backed baseline remain required.
- Bilingual Content Orchestrator β an English/Arabic campaign-drafting prototype with explicit cultural-review boundaries.
- LLM Cost Optimizer Proxy β a reference implementation for routing, caching, and separated cost/quality measurement.
- MONNA OS Skills β a small catalog of structurally validated Agent Skills with deterministic repository checks.
Structural validation is not runtime validation. A green deterministic check does not establish live-model quality, production security, cultural correctness, deployment status, adoption, or market demand. Those claims require their own dated receipts.



