Your AI agent's access should expire when the job does
Agentic AI spawns logins faster than anyone can track them. The control that scales is access scoped to one task and set to expire when that task ends.
Zero retention at the model. Your logs keep everything.
Anthropic will let enterprises run Claude with zero data retention on their own cloud. That moves the harder question to what your own pipeline still keeps.
Your AI policy is a document. Can you produce the log?
Microsoft's revised AI standard governs agent identities, tool permissions and actions, not just models. What buyers will ask is whether you kept the record.
Your support queue is three queues. Route it that way.
A roundup of seven agentic support platforms sorts every buyer into one segment. Your ticket queue is not one segment, and buying it as one costs real money.
Agents go faster only on work you can describe | CX-Builder
An agent-run development model reports gains of two to three times, but only on well-specified work. The limit is not the model. It is how clearly you defined done.
Attackers are not after your model. They want the gateway.
Microsoft found intruders inside AI gateways and workflow tools, not models. That layer holds every credential you own. Here is what to check first.