AI Security Policy Latency Impact
Enabling AI security policies can add latency to AI traffic. The latency impact
depends on the security features enabled, including App-ID, decryption, and AI security
policies.
| Where Can I Use This? | What Do I Need? |
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- Prisma AIRS AI Runtime: Network intercept
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Enabling AI security policies can add latency to AI traffic. The latency impact depends
on the security features enabled, including App-ID, decryption, and AI security
policies.
In testing with PAN-OS 12.2.2 and the Claude 4.5 Haiku model, enabling an AI security
policy with prompt injection, Toxic Content, and DLP inspection added approximately 700
ms of average latency compared with an App-ID and decryption-only baseline.
Benchmarking utilized 10,000 benign English text prompts averaging 92 characters (~23
tokens and a ~277-byte HTTP request body) across five functional categories: text
generation, summarization, Q&A, classification, and conversational interactions.
Responses averaged ~2.2 KB.
Use these results as a reference when evaluating the performance impact of AI inspection
in your environment.
