Building defensible moats by turning products into platforms — and platforms into ecosystems.
Durable advantage is rarely built from features. It is built from the architecture around them — APIs that embed, developers who adopt, data that compounds, ecosystems that refuse to unravel.
This has been the through-line of my work across Adobe, Okta, and Radiant Logic, and the focus of my doctoral research in innovation management: turning technically strong platforms into category-defining assets.
At Adobe, I helped shape API strategy to make products more extensible, more embedded, and harder to displace. The moat was not the API surface itself; it was the ecosystem of workflows, partners, and integrations that formed around it.
At Okta, I helped define developer platform strategy to turn identity from an administrative function into an adoption motion. A developer platform creates leverage when builders choose it, extend it, and carry it into the enterprise.
At Radiant Logic, the moat is context. The Three Identity Problem — human, machine, and AI identities moving across fragmented systems — cannot be solved by another dashboard or policy layer alone. It requires unified identity data that gives enterprises the trusted context to secure access, govern risk, and make Zero Trust real.
Research on how firms create and capture value from open innovation ecosystems, knowledge flows, and intangible assets.
A model for identity security where AI amplifies human expertise, coordinates fragmented tools and teams, and turns identity context into action.