Tag: regulated loan origination
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Agentic AI Agent-to-Agent: A2A Settles Handoff, Not Trust
What is agentic AI agent-to-agent trust? Agentic AI agent-to-agent trust is the decision to let one agent act on what another agent says. The A2A protocol settles how two agents find each other and hand a task across. But it does not settle whether I should believe the agent on the other end. So a…
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Agentic AI Incident Record: Record It During, Not After
What is an agentic AI incident record? An agentic AI incident record is the account of one agent run that went wrong, written while the run is still going. It captures the failing step, the state at that moment, and the steps that led there. It also captures the decision to stop or resume.…
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Agentic AI Credential Scoping: One Key, Not Yours
What is Agentic AI credential scoping? Agentic AI credential scoping is the practice of giving an agent its own short-lived, narrow credential instead of the developer’s. The agent gets one key, cut to one job, that expires. It never gets yours. Yesterday’s post was about the rule the developer cannot edit. This one is about…
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What Is an Agentic AI Managed Setting? A Rule the Developer Cannot Edit
Agentic AI managed settings are the permission rules an administrator sets above the developer. No project file, local file, or command-line flag can loosen them. That is the whole idea. The rest of this post is the how. Last week I wrote about the circuit breaker and prompt injection. Both of those assume the rules…
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Keeping Agentic AI Systems Safe From Prompt Injection
Agentic AI prompt injection is what happens when an agent reads content that contains instructions and then follows them as if you had given them. The content can be a web page, an email, a PDF, a support ticket, or the result of a tool call. You asked the agent to do one job. Then…
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What Is Agentic AI Context Caching? Stop Resending the Codebase
What Is Agentic AI Context Caching? Agentic AI context caching is the runtime control that lets an agent pay once to process a large, stable block of context. On every later turn, the agent reuses the provider’s stored computation at about a tenth of the price. The block is usually the system prompt, the tool…
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Enterprise Agentic AI roadmap for 2027
An enterprise agentic AI roadmap for 2027 is a governance plan with an architecture inside it. For a Fortune 1000 company it is the year the weakest production agent climbs from Piloted to Governed, and the best one earns Assured, one exit gate at a time. This is the fall 2026 edition, the one about…
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What Is Agentic AI Context Compaction? Decide What Goes
Agentic AI context compaction is the step in an agent’s runtime loop where the harness takes a conversation that is nearing the context window limit, has the model write a summary of it, and restarts the loop with that summary in place of the original history. Everything before the summary is gone from the model’s…