AI Agent Sessions Expose an Unplanned Data Store
agents
| Source: Dev.to | Original article
AI agent frameworks like Genkit and ADK automatically store every conversation turn and tool response in an undocumented data store, raising concerns about data sanitation and cleanup.
A recent analysis of two popular AI‑agent toolkits – Genkit and the Azure Development Kit (ADK) – has revealed that both platforms automatically record every exchange an agent has, including the outputs of any integrated tools, in a persistent data store that developers never explicitly create. The discovery emerged from a deep dive into the frameworks’ default behavior, which shows that each turn of a conversation is written to an internal repository without any configuration option to disable or redirect the logging.
The hidden store raises immediate concerns for privacy and compliance. Enterprises deploying agents for customer support, internal workflows or data‑driven decision‑making now face the risk that sensitive user inputs, proprietary queries and even third‑party API responses are being retained indefinitely. Because the storage mechanism is baked into the framework, simply sanitising inputs or stripping outputs in application code does not prevent the data from being captured. Regulators such as the EU’s data‑protection authorities could view this as a breach of GDPR’s data‑minimisation principle, while corporate security teams may see it as an attack surface for data leakage.
Fixing the issue, the analysis argues, is not a matter of developer best practices but a responsibility that must be built into the frameworks themselves. Developers are calling on the maintainers of Genkit and ADK to expose clear configuration controls, audit logs and deletion APIs, and to document the lifecycle of stored conversation data.
What to watch next includes official responses from the Genkit and ADK teams, potential patches or new releases that add granular data‑management options, and broader industry discussion about standardising data‑handling expectations for AI‑agent platforms. As AI agents become core components of business processes, transparent and controllable data storage will likely move from a technical nicety to a regulatory requirement.
Sources
Back to AIPULSEN