startbase.dev
G8KEPR
Kong Enterprise
Apigee
Azure API Management
Tyk
MuleSoft
Auth0
Gravitee.io
# StartBase: Your All-in-One Foundation for Modern Projects
Start your next startup, SaaS project, or side hustle with StartBase—the perfect foundation offering clean, modern code that follows industry best practices and integrates trendy open-source libraries. With seamless integration of third-party services, you can save months of work and accelerate your path to success today.
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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 the single-pattern alarms. Our Cross-Pillar Correlation Engine scores the co-occurrence — low alone, lethal when they line up — and blocks it in ~7ms, before a token leaves your VPC.
Every tool blocks the single-pattern attack. We block those too — then correlate the coordinated AI campaign point tools never see.
startbase.dev G8KEPRG8KEPR'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.
