Software Alternatives & Startups

Officially verified details G8KEPR

Unified security for APIs, AI agents, MCP tools, and LLM applications. API Security + MCP Security + AI Gateway + Verification Engine. Starting at $399/mo.

G8KEPR

G8KEPR Reviews and Details

This page is designed to help you find out whether G8KEPR is good and if it is the right choice for you.

Screenshots and images

  • G8KEPR G8KEPR.com HOMEPAGE
    G8KEPR.com HOMEPAGE //
    2026-07-24
  • G8KEPR G8KEPR.com DEMO
    G8KEPR.com DEMO //
    2026-07-24
  • G8KEPR G8KEPR.com PRICING
    G8KEPR.com PRICING //
    2026-07-24

Features & Specs

  1. API Security

    1,500+ threat signatures, OWASP Top 10 coverage, real-time anomaly detection

  2. MCP Security

    Deterministic tool-poisoning & rug-pull detection (SHA-256), CVE replay

  3. AI Gateway

    Inline LLM firewall across 14+ providers, prompt + response scanning

  4. Deterministic detection

    Regex + classical ML, ~7ms, $0 per token, no LLM-as-judge

  5. Verification Engine

    Output DLP — PII/secret redaction plus grounding/hallucination checks

  6. Deployment

    Runs in your VPC — zero data egress, self-hostable

  7. Frameworks

    Mapped to OWASP, MITRE ATT&CK, ATLAS, and EU AI Act

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Questions & Answers

As answered by people managing G8KEPR.
  1. What's the story behind G8KEPR?

    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.

  2. What makes G8KEPR unique?

    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)
  3. Why should a person choose G8KEPR over its competitors?

    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
  4. How would you describe the primary audience of G8KEPR?

    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
  5. Which are the primary technologies used for building G8KEPR?

    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

  6. Who are some of the biggest customers of G8KEPR?

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

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Is G8KEPR good? This is an informative page that will help you find out. Moreover, you can review and discuss G8KEPR here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.