Software Alternatives & Startups

G8KEPR VS CloudPloy

Compare G8KEPR VS CloudPloy and see what are their differences

G8KEPR

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

Rating
0 reviews
Pricing
Freemium Free trial $399 / Monthly (API Security - MCP Security - AI Gateway - Verification Engine)
CloudPloy

Deploy anywhere from your AI tool.

Rating
0 reviews
Pricing
Freemium $9.99 / Monthly (Starter $9.99 / Pro $19 / Scale $39)

Which is more popular?

API popularity
100% vs 0%
alternatives listed
24 vs 1

Base details

Website, pricing, platforms and company facts side by side.

G8KEPR
CloudPloy
Website g8kepr.com cloudploy.com
Pricing
Freemium Free trial $399 / Monthly (API Security - MCP Security - AI Gateway - Verification Engine) Official pricing
Freemium $9.99 / Monthly (Starter $9.99 / Pro $19 / Scale $39) Official pricing
Platforms
SaaS Cloud Self Hosted REST API Docker Kubernetes Linux +4
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Company Startup from the United States · 1 - 9 employees · 2026 —
Listed in

About G8KEPR and CloudPloy

In their own words, as submitted to SaaSHub.

G8KEPR
CloudPloy

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...

Read more about G8KEPR

Add an API key. Your agent deploys from Claude Code, Cursor, or any MCP client. Bring your own Ubuntu/AWS server or provision Hetzner/DigitalOcean/AWS at cost. Flat plan for the control plane; compute at the provider’s rate. Free forever: 1 small server, 1 app.

Read more about CloudPloy

Features and specs

What each product offers, as listed by its team.

G8KEPR 7 features
CloudPloy 5 features
  • API Security
    1,500+ threat signatures, OWASP Top 10 coverage, real-time anomaly detection
  • MCP Security
    Deterministic tool-poisoning & rug-pull detection (SHA-256), CVE replay
  • AI Gateway
    Inline LLM firewall across 14+ providers, prompt + response scanning
  • Deterministic detection
    Regex + classical ML, ~7ms, $0 per token, no LLM-as-judge
  • Verification Engine
    Output DLP — PII/secret redaction plus grounding/hallucination checks
  • Deployment
    Runs in your VPC — zero data egress, self-hostable
  • Frameworks
    Mapped to OWASP, MITRE ATT&CK, ATLAS, and EU AI Act
  • Simplified Cloud Deployment
    CloudPloy appears to streamline the process of deploying applications to cloud infrastructure, reducing the complexity typically associated with cloud provisioning and configuration.
  • Automation Capabilities
    The platform likely offers automation features that can save time on repetitive deployment tasks, allowing development teams to focus more on core application development.
  • Multi-Cloud Support Potential
    If CloudPloy supports multiple cloud providers, it could offer flexibility for organizations that want to avoid vendor lock-in or need to work across different cloud ecosystems.
  • Time Efficiency
    By automating deployment workflows, CloudPloy may significantly reduce the time required to get applications from development to production environments.
  • Scalability Features
    Cloud deployment tools like this often include scalability options that help applications handle varying loads without manual intervention.

Possible disadvantages

  • Limited Public Information
    There is limited detailed information available about CloudPloy's specific features, pricing, and technical capabilities, making it difficult to fully assess its offerings without direct trial or more documentation.
  • Learning Curve
    As with most specialized deployment platforms, users may need to invest time learning the specific workflows, terminology, and best practices unique to CloudPloy.
  • Potential Integration Challenges
    Depending on existing infrastructure and toolchains, integrating CloudPloy into established DevOps pipelines could present compatibility challenges.
  • Pricing Transparency
    Without clear, publicly available pricing information, potential users may find it challenging to evaluate cost-effectiveness compared to established competitors in the cloud deployment space.
  • Market Maturity Uncertainty
    As a potentially newer or less established platform, CloudPloy may lack the extensive community support, third-party integrations, and proven track record that more mature deployment tools offer.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
G8KEPR
CloudPloy
100% 100%
API
0% 0%
0% 0%
100% 100%
100% 100%
AI
0% 0%
100% 100%
0% 0%

Questions & Answers

As answered by people managing G8KEPR and CloudPloy.

What's the story behind your product?

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.

What makes your product unique?

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)

Why should a person choose your product over its competitors?

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

How would you describe the primary audience of your product?

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

Which are the primary technologies used for building your product?

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

Who are some of the biggest customers of your product?

G8KEPR's answer

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

User comments

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Alternatives to G8KEPR and CloudPloy

When comparing G8KEPR and CloudPloy, you can also consider the following products.