AI-Generated Queries Break Database Assumptions
Autonomous agents generate unpredictable query behavior that can destabilize databases without warning.
Safeguards assume stable, human-driven workloads
One rogue agent can overwhelm your database
Query patterns shift faster than manual tuning
Small shifts trigger runaway cost or bad query plans
Automatic Database Protection for Agent Workloads
QueryPilot enforces execution-time safety between AI agents and your database, preventing harmful queries before they impact production.
Filters destructive query execution plans
Keeps database load predictable, no manual tuning
Caches and routes only when patterns are safe
Constrains query behavior as agents adapt
Safe Database Behavior Under Agent Load
When agents generate queries at scale, database safety has to be enforced automatically.
Guardrails at Execution
Routing, caching, and execution paths are evaluated in real time to prevent unsafe query plans from reaching the database.
Correctness Under Change
Database behavior is kept stable across retries, replica lag, and topology changes, even as agent behavior evolves.
Selective Query Acceleration
Query caching is applied only when queries are safe and beneficial, without relying on manual tuning.
See how others solve this challenge
Explore guides and engineering stories from teams using Readyset.
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Frequently Asked Questions
Find answers to common questions about Readyset. If you have additional questions, feel free to contact us.
Never let agents query your database unsupervised.
Readyset enforces execution-time guardrails that stop unsafe agent-generated queries before they reach production.
Revolutionize your database performance with Readyset
Serve requests at sub-millisecond latencies with the modern database scaling and query caching system for MySQL and PostgreSQL.
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