Cursor self-hosted machines: is it on-prem, and what data leaves?
Cursor's September update explained: self-hosted execution, cloud inference, code and tool-output data flows, team pools, and infrastructure costs.
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Self-hosting and infrastructure
Deployment checklists for trust boundaries, environment hosts, model routes, observability, upgrades, and capacity.
AGPL-3.0 Compliance for Teams Adopting Open-Source AI Coding Tools
What the AGPL-3.0 network clause actually requires, when it applies to internal use, and a practical compliance checklist for teams adopting open-source AI coding tools.
Read researchAir-Gapped AI Coding: Running an AI Development Platform With No Internet Egress
Run an AI development platform air-gapped with no egress: the trust boundary, the model route, and what to verify before trusting an offline claim.
Read researchHow Secure Is AI-Generated Code? What Veracode's 45% Finding Means
Veracode's 2025 research found 45% of AI-generated code contained security flaws. Here is what that means for engineering teams—and what does not follow from it.
Read researchKeeping Proprietary Code Private with AI Coding Tools: A Data-Governance Guide
After Samsung's 2023 ChatGPT code leak, every engineering team should know exactly where their code goes. Here is how to keep proprietary code private.
Read researchSecuring AI Coding Agents: An OWASP-Aligned Checklist for Teams
As coding assistants become autonomous agents, their biggest risk shifts from wrong code to unsafe actions. Map the 2025 OWASP LLM Top 10 to concrete controls.
Read researchSelf-Hosted AI Development Platform: A Practical Deployment Checklist
Plan a private AI development platform with a clear checklist for infrastructure, models, source control, security boundaries, operations, and rollout.
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