• 19 August 2026

  Prompt injection when an agent reads untrusted documents and emails

  An agent that reads an inbound email or a shared document can be made to obey instructions hidden inside it, because the model treats trusted commands and untrusted data as one stream. Here is why the failure is architectural, and the containment that holds.
• 10 August 2026

  Controls for autonomous actions: audit trails, reversibility, and human oversight

  When an agent posts a journal entry or releases a payment, the question that matters is not average model accuracy but whether each action is logged, attributable, reversible, and overseen. Three named frameworks now say what to control, and they map cleanly onto engineering.
• 29 July 2026

  The regulatory trajectory for enterprise AI agents

  Compliance work has a lead time, so an operator deploying agents needs the direction and timing of the rules, not just today's text. Here is the trajectory, and why auditability designed in early is cheaper than auditability retrofitted.
• 20 July 2026

  Monitoring an agent after it ships: drift, regression, and evaluation in production

  A deployed agent can change behavior with no change on your side, because the model provider updated something and did not version it. Here is the production machinery that catches it before your customers do.