A security vulnerability exists in how AI agents handle paginated data from PostgreSQL databases. Standard LIMIT/OFFSET pagination can lead to duplicated or skipped rows due to data changes between requests. To mitigate this, developers should implement deterministic keyset pagination, using opaque cursors that bind to specific ordering values, tenant information, filter hashes, and other contextual data. This approach ensures that pagination remains stable and predictable, even as the underlying data evolves, by providing a consistent snapshot for each page request. AI
IMPACT Ensures more reliable data retrieval for AI agents, preventing errors and improving consistency in tool-assisted workflows.
RANK_REASON The item discusses a specific implementation detail for AI tools interacting with databases, rather than a core AI release or research.
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