A secured agent that can't reach anything is just expensive autocomplete with a badge. In "Why prompt-level guardrails aren't enough," I walked through how Red Hat AI allows you to give each agent a cryptographic identity and lock down what it can touch. That solves the trust problem, but it doesn't solve the connectivity problem, and the connectivity problem is where I see most enterprise agent rollouts stall—not because the model fails, but because the plumbing does.In our previous articles, we talked about how 3 failures hit a single AI agent deployment overnight—43 duplicate tickets, $
Insurance remains an incredibly data-heavy industry with deep roots. Based on product offerings and strict regulatory data retention rules, a significant number of existing systems, some decades-old, are still in operation. It's not uncommon to find COBOL-coded applications or AS/400s continuing to run mission-critical workloads.There's a valid reason for this: the insurance sector was an early adopter of these data-heavy environments, and the technology worked well.However, managing this data over decades created heavy technical debt. For example, liability insurance policies often require da