Keep Mongo + materialization; freeze new materialized graph stores in favor of read-time composition; add a deterministic predicate-to-seed-set query layer so the graph is queryable/filterable at enterprise scale; bound rendering to a comprehensible node set; and land four operational scale fixes before a Fortune-500 tenant.
Strategy for reducing false positive automations and improving graph readability at scale
High-level implementation plan and graph-enhancement research for a SecurityV0 AWS connector — covering IAM identity graph, workload metadata, ECR/code-deploy chain, and cross-account trust modelling
Minimal Azure permissions required to run the Foundry connector pilot
One-page founder/investor position on the graph data-model question: what company SecurityV0 is building, what is bounded today, and what the contract change ahead of the migration staircase is.
How SecurityV0's authority-graph data model scales today, the trade-offs we accepted, and the prepared migration staircase to native graph engines and cell architecture.
Founder feedback on the first AWS demo. The use cases are strong, but the product is still surfacing path inventory instead of the canonical governance stories.
Record of what was actually built in the P0/P1 automation-centric UI implementation (Steps 1-7)