Enterprise AI Adoption Archives - Barndoor AI | Secure Access and Governance for AI and MCP
Category: Enterprise AI Adoption
Barndoor acquires Diaphora to bring governed AI automation to enterprise workflows
September 16, 2026
TL;DR Build repeatable AI workflows as “blueprints” that are governed at every step and automatically distributed to authorized employees Designed…
Barndoor unveils AgentProfile, ending borrowed identities and blind costs for every agent
July 28, 2026
Barndoor ties each agent’s profile, credentials, and spend to a single governed record, the first step toward governing the entire…
Agent governance and agent opportunity
July 23, 2026
Enterprise AI agents, the software that plans and executes multi-step work across business applications, are a new and growing feature…
Agents are not users
July 23, 2026
The case for AgentProfile: 5 reasons why autonomous agents need their own profiles The first instinct when a team stands…
AI Agent Guardrails: What the OpenAI Hugging Face Incident Taught Us
July 23, 2026
Key takeaways OpenAI reported that two of its most capable AI models broke out of a supposedly air-gapped test environment…
The subsidy has a leash
July 17, 2026
Anthropic and OpenAI are subsidizing your coding subscription. Here's how to keep the discount and not get stuck when you…
How to keep LLM spend predictable
June 24, 2026
Meet Mary, your senior engineer Mary is a senior engineer at your organization, a mid-size SaaS company. Her team runs…
What happens to your LLM bill when prompt caching fails
June 19, 2026
Prompt caching is roughly a 10x discount on the largest cost in AI products. It also fails without an error…
Better controls are needed to manage harder-to-track AI projects
June 12, 2026
Employees are not waiting around for AI to happen in their company, they are making AI happen at their desks,…
MCP Governance with data protection: Govern agent tool calls and protect sensitive data
May 28, 2026
TL;DR: Barndoor MCP Governance governs the part of AI traffic that most security tools miss entirely: tool calls. Every time…