Blog
Confidential Computing for AI Workloads: Protecting Data in Use
Confidential Computing protects AI data during processing. What teams should clarify about TEEs, attestation, key control, and operations.
Open Source Governance for AI Code: Maintainer Risk Becomes an Architecture Issue
Open source governance for AI code protects dependencies, maintainer relationships and review capacity as AI accelerates pull requests.
Agent-Ready APIs: Preparing Backends for AI Agents
Agent-ready APIs make software usable by AI agents while keeping backend security, cost and operational control visible for growing product teams.
Forward Deployed Engineering for AI Projects: From Pilot to Production
Forward Deployed Engineering brings AI projects closer to product, data and operations. What leadership and engineering should clarify first.
EU Data Act for Software Companies: Preparing Data Access and Cloud Switching
The EU Data Act turns data access, interoperability and cloud switching into an architecture issue. What software companies should clarify now.
AI Agent Evaluation: Agent Evals as a Release Gate for Software Teams
AI agent evaluation makes quality measurable before release. How teams build agent evals for business outcomes, safety, and regression control.