Akamai Firewall for AI is a commercial LLM guardrails solution by Akamai. Zscaler AI-SPM is a commercial AI SPM solution by Zscaler. Features, integrations, deployment and the company behind each one, side by side.
What our shortlists say about the one we picked.
Best for: Zscaler customers running AI on cloud platforms
This is a close match for the core job of the list, because it starts from the cloud AI platforms where your models and data actually sit. It plugs into Zscaler Data Security, so it pays off most if you already run Zscaler, and you should check how much of the value holds up without it.
From Best AI SPM Solutions for Business, Fall 2026
Reviewed by Nika (Nikoloz) Kokhreidze.
Firewall protecting LLMs from prompt attacks, data leaks, and harmful outputs
AI security posture mgmt for securing AI models, data, and LLMs in cloud envs
See more solutions in this category, or build a security stack from your picks.
Based on what each listing shows: deployment, company size, price and open source.
Akamai Firewall for AI fits if you need both cloud and on-premises options and you are a small business.
Zscaler AI-SPM fits if you want a cloud product.
Common questions when comparing Akamai Firewall for AI vs Zscaler AI-SPM for LLM guardrails.
Akamai Firewall for AI: Firewall protecting LLMs from prompt attacks, data leaks, and harmful outputs. Built by Akamai.
Zscaler AI-SPM: AI security posture mgmt for securing AI models, data, and LLMs in cloud envs. Built by Zscaler.
The table above shows where their features, integrations, deployment and company size fit differ.
Akamai Firewall for AI is made by Akamai. Zscaler AI-SPM is made by Zscaler. The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.
In part. Akamai Firewall for AI and Zscaler AI-SPM are not in the same category on CybersecTools. Use the table above to see where features, deployment and company size fit differ.
No LLM Guardrails shortlist yet. This is the closest one.
Updated 2026-11-02
See the shortlist
