Detecting Prompt Injection in Production LLM Agent Pipelines
Securing agents requires monitoring every data entry point, not just user input.
Celeste Oduya
Staff Writer
Celeste Oduya
Celeste began her career as a data analyst embedded with product teams, which gave her a ground-level view of how training data compounds—or collapses—over time. She now covers the structural and organizational forces that shape data flywheel dynamics.
5 stories
Harness Staleness as a Driver of Agent Performance Degradation
Infrastructure failures, not model defects, drive most production agent breakdowns.
Celeste Oduya
Loop Latency and Its Effect on Agent Improvement Velocity
Sequential LLM calls create hidden delays that compound into agent improvement bottlenecks.
Celeste Oduya
Routing Production Failures Into Regression Test Suites
Capture real production failures to build more realistic agent regression tests.
Celeste Oduya
Cost, Latency, and Quality Alerting on Agent Production Traces
Unified alerting catches agent failures that span cost, latency, and quality.
Celeste Oduya