What is AI Runtime Monitoring?

AI Runtime Monitoring is essential for detecting and responding to threats that emerge after deployment. Unlike pre-deployment testing, runtime monitoring captures real-world usage and alerts security teams to prompt abuse, model misuse, or content generation failures as they happen.

It enables detection of:

• Unsafe or offensive output from LLMs
• Prompt injection and jailbreak attempts
• Leakage of sensitive or proprietary data
• Misuse of models by internal or external users
• Abuse of agent frameworks or tool integrations

Monitoring at runtime also supports governance and auditing by logging model activity, tracking prompts and responses, and enforcing acceptable use policies.

How PointGuard AI Helps:
PointGuard’s AI Runtime Defense module inspects every prompt and output in real time, applying policy-based enforcement and logging risk events. It integrates with Jira, ServiceNow, and Slack for rapid response and ticketing, helping organizations catch misuse early and take immediate action.
Learn more: https://www.pointguardai.com/ai-runtime-defense