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We’re, in impact, standing up a second information stack particularly for brokers, then questioning why nobody in safety feels snug letting these brokers close to something essential. We shouldn’t be doing this. In case your brokers are going to carry reminiscences that have an effect on actual selections, that reminiscence belongs inside the identical governed-data infrastructure that already handles your buyer information, HR information, and financials. Brokers are new. The best way to safe them isn’t.
Revenge of the incumbents
The trade is slowly waking as much as the truth that “agent reminiscence” is only a rebrand of “persistence.” If you happen to squint, what the large cloud suppliers are doing already appears to be like like database design. Amazon’s Bedrock AgentCore, for instance, introduces a “reminiscence useful resource” as a logical container. It explicitly defines retention durations, safety boundaries, and the way uncooked interactions are remodeled into sturdy insights. That’s database language, even when it comes wrapped in AI branding.
It makes little sense to deal with vector embeddings as some distinct, separate class of information that sits outdoors your core database. What’s the purpose in case your core transactional engine can deal with vector search, JSON, and graph queries natively? By converging reminiscence into the database that already holds your buyer information, you inherit a long time of safety hardening at no cost. As Brij Pandey notes, databases have been on the middle of utility structure for years, and agentic AI doesn’t change that gravity—it reinforces it.
