
Kong Enterprise
Apigee
Azure API Management
Tyk
MuleSoft
Auth0
Gravitee.io
Unified security for APIs, AI agents, MCP tools, and LLM applications. API Security + MCP Security + AI Gateway + Verification Engine. Starting at $399/mo.

Website, pricing, platforms and company facts side by side.
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| Website | g8kepr.com | codegres.org |
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| Company | Startup from the United States · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


A runtime security layer for AI apps — API, MCP, gateway, and model-output checks on one request plane, running inside your own VPC. Not a human at a keyboard — an AI agent running a multi-stage campaign: a recon probe, a fuzzing burst, a prompt injection, a poisoned tool. Each move rides below...
No description of Codegres.org yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of G8KEPR yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing G8KEPR and Codegres.org.
G8KEPR's answer
G8KEPR started from a simple observation: every AI security tool assumed you were fine sending your prompts to someone else's cloud to be inspected — and none of them covered the new attack surface that MCP and AI agents introduced.
So it was built the opposite way: deterministic detection that runs inside your own network, covering all four layers of the modern AI stack, with honest, reproducible benchmarks instead of marketing numbers.
G8KEPR's answer
Most AI security tools use an LLM to judge whether input is an attack — which is slow, costs per token, and is itself jailbreakable.
G8KEPR does the opposite:
G8KEPR's answer
Four security layers in one platform — API Security, MCP Security, AI Gateway, and a Verification Engine — instead of stitching together separate vendors.
G8KEPR's answer
Engineering and security teams shipping AI applications to production — anyone running LLMs, AI agents, or MCP tools.
Especially:
G8KEPR's answer
Frontend: Next.js, React, TypeScript, Tailwind CSS Backend: Python, FastAPI, PostgreSQL, Redis Detection: self-hosted classical ML (TF-IDF + logistic regression) and fine-tuned models — no hosted LLM in the detection path Billing: Stripe Deployment: Linux / nginx, containerized for VPC & self-hosted
G8KEPR's answer
Newly launched — early access is open at g8kepr.com.
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