Diffyn VS G8KEPR

Diffyn's answer

Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.

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:

• Deterministic detection (regex + classical ML) — ~7ms, $0 per token, no LLM-as-judge
• Runs in your own VPC — zero data egress, works air-gapped
• Dedicated MCP security — deterministic tool-poisoning & rug-pull detection, with replay tests for real MCP CVEs (the part almost no one else covers)

Diffyn's answer

Diffyn is the platform that specializes on both change management and multi-model analysis.

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.

• Legacy gateways (Kong, Apigee) were built before LLMs, agents, and MCP existed, and charge $20k+/yr for middleware
• G8KEPR starts at $399/month with AI-native capabilities they don't offer
• Detection is deterministic and reproducible — published benchmarks, including the weak spots
• Nothing leaves your network

Diffyn's answer

React, Next.js, POSTGRESQL

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

Diffyn's answer

Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.

G8KEPR's answer:

Engineering and security teams shipping AI applications to production — anyone running LLMs, AI agents, or MCP tools.

Especially:

• Teams that can't send prompts to a third-party cloud for analysis (privacy, compliance, air-gapped)
• Teams securing the agent tool-call layer (MCP), not just the API
• Teams preparing for EU AI Act enforcement

Diffyn's answer

I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.

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:

Newly launched — early access is open at g8kepr.com.