Prompt Injection, Drift, and Other Post-Launch Realities

Post-launch AI incidents often begin as weak signals. A prompt path behaves differently. A model vendor changes defaults. A workflow starts timing out more often. None of these look catastrophic until they compound.

Three recurring realities

• Prompt abuse becomes a product issue, not just a security issue.
• Model drift changes output reliability and user trust.
• Third-party service changes can alter cost, latency, or behavior overnight.

Operational discipline matters

Teams need clear detection and escalation paths. Without them, the organization learns about issues from users instead of from its own controls.