FortiLayer extends its internal model analysis to LLMs, providing deeper visibility into behavior and real-time detection of attacks and anomalies.
Why LLM Monitoring Needs to Go Deeper
Most LLM monitoring focuses on prompts and outputs.
But outputs only show the result, not how the model arrived there.
LLMs can be influenced by adversarial prompts, drift in real-world use, or produce confident but incorrect responses. These issues are often difficult to detect with surface-level monitoring alone.
FortiLayer Brings Visibility Inside Your LLM
FortiLayer reveals internal model behavior during execution, giving you insight beyond prompts and outputs.
You can see when behavior shifts under manipulation, stress, or unexpected conditions.
What Deeper Visibility Enables
- Deeper visibility into LLM behavior
- Understand how your model is operating, not just what it produces.
- Detect manipulation and abnormal behavior
- Identify when models are being influenced by adversarial prompts or behaving in unexpected ways.
- Reduce risk of hidden failures and data exp- osure
- Surface issues that could lead to incorrect outputs, unsafe behavior, or unintended data leakage.
- More confidence in deployed systems
- Run LLMs in real-world environments with clearer insight into how they are behaving.
Built for Real-World Deployment
FortiLayer is designed to operate in live environments with minimal overhead, making it suitable for:
- Production AI systems
- Edge and resource-constrained deployments
- Applications where reliability and visibility matter
