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DevTools · AI & ML · 200–1000 · North America #b019_15

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Context

We train language models and build agent products for enterprises that want private, secure deployments inside their own environments.

Industry: DevTools & Software · AI & ML
Size: 200–1000 employees
Region: North America
Tools budget: $5K–20K per month
Needs: Guardrails for AI agents and LLM apps. Customers deploy our agents against internal systems, and we need stronger controls against prompt attacks and unsafe actions.
Today: product security and agent security engineers building controls into its own agent product · Urgency: now
Application security & code scanning. Our security posture is central to how we sell, so code and supply chain weaknesses must be caught early.
Today: a senior security engineer automating controls across multiple clouds for private deployments · Urgency: now
Who decides: ciso security · security review
Expects from suppliers: Deployable in air-gapped or private environments; Agent-level policy enforcement; Evidence for sovereign buyers
Not a fit: Hosted-only tools sending data offsite; Products without enterprise key management
Stack: multi-cloud, on-prem / private cloud, Kubernetes, LLM APIs in production
Buying triggers: AI adoption push, new market or product launch

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