AI runtime protection is the practice of securing machine learning models and generative AI systems during their active use. Unlike traditional defenses that focus on model development or training, runtime protection operates continuously—monitoring live inputs, outputs, and behavior in production environments.
As AI adoption expands, runtime risks have become increasingly urgent. Deployed models are often exposed to:
Traditional security tools don’t address these threats because AI operates differently from static software. Behavior is dynamic, probabilistic, and often unpredictable—making runtime visibility essential for maintaining control and compliance.
AI runtime protection typically includes:
By defending models in real time, organizations can respond to attacks or policy violations immediately, rather than waiting for post-incident investigations. Runtime protection is especially critical for public-facing LLMs, high-impact models in finance or healthcare, and any AI integrated with business-critical systems.
How PointGuard AI Addresses This:PointGuard AI is purpose-built to secure AI systems at runtime. It continuously inspects model behavior, monitors for anomalies, and enforces security and compliance policies in real time. Whether blocking unsafe outputs, detecting adversarial prompts, or alerting, PointGuard keeps deployed AI models protected, observable, and trustworthy in production.
Resources:
Gartner: TRiSM in AI Models
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