Item 19 · synthetic

Input

Hiroshi Yamashita
VP Product at Vantara Security

I've spent the last three years building out the product function here at Vantara, taking us from a scrappy team of two PMs to a group of nine covering identity, endpoint, and our newer AI-driven threat detection surface.

Before Vantara I was a Senior PM at Okta for four years, where I worked on adaptive authentication and led a redesign of our admin console. That experience gave me a solid grounding in enterprise security buyers — their procurement cycles, their compliance requirements, and how differently a CISO and a security analyst evaluate the same product.

At Vantara, the work I'm most focused on right now is our anomaly detection layer. We shipped a behavioral baseline model late last year that flags lateral movement patterns across identity and network telemetry, and we're mid-cycle on a second model that incorporates user-entity scoring for SOC triage prioritization. Both ship as features inside the existing platform, not as bolt-on SKUs — that was a deliberate call I pushed for.

I work closely with our Head of AI and the GTM team on positioning those features to enterprise buyers, most of whom are somewhere between skeptical and cautious about operationalizing model outputs in a security context. Getting that trust loop right is probably the most interesting design problem I've worked on in my career.

Based in Austin, open to conversations about enterprise product strategy, AI in security, and team structure in high-compliance environments.

Vantara Security is a B2B SaaS company headquartered in Austin, Texas, focused on enterprise identity and endpoint security. Its platform provides unified visibility across identity providers, endpoints, and network telemetry, with customers primarily in financial services, healthcare, and critical infrastructure. The company has raised a Series D and employs approximately 400 people across product, engineering, sales, and customer success. Recent development has centered on AI-powered threat detection, including a shipped behavioral anomaly model and a user-entity risk scoring feature in active development. Vantara's customers are typically organizations with 2,000 to 50,000 employees running complex, multi-cloud environments.

Gold

Expected action

propose

Fit score

0.60

Industry

B2B SaaS

Segment

Enterprise identity and endpoint security

Seniority

VP

Company size

201-500

Language

en

Notes

Stage and headcount both push out of ICP (Series D, 400 ppl). ARR inference likely above the $50M ceiling at this scale. Product shape and role clean. Routes to propose.

Predictions