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AI Security Gateway VS CodeinCloud

Compare AI Security Gateway VS CodeinCloud and see what are their differences

AI Security Gateway

AI Security Gateway (AISG) is an AI firewall, LLM proxy & MCP Gateway that redacts 30+ PII types (text+vision), blocks prompt injections, smart-routes 600+ models, & enforces budgets —2-line integration, loop detection, zero data retention.

Rating
0 reviews
Pricing
Open source Freemium Free trial
Alternatives Is it good?
CodeinCloud

CodeinCloud is the comprehensive IDE on the cloud by which you can connect your Live Servers through SSH Connection and your hosting directories with FTP access and Enjoy the Live Developments with beautifully designed code :)

Rating
0 reviews
Alternatives Is it good?
warmup.rocks
warmup.rocks keeps your CDN cache warm in every edge location worldwide: Cloudflare, Fastly, Akamai, CloudFront and more. Warming from 42 countries, hit-ratio analytics. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, AI Security Gateway seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
1 vs 0
AI popularity
100% vs 0%

Base details

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

AI Security Gateway
CodeinCloud
Website aisecuritygateway.ai codeincloud.net
Pricing
Open source Freemium Free trial Official pricing
Official pricing
Company Startup from the United States · 2026 —
Listed in
AI Security & Privacy LLM Security LLM Gateway Data Leakage Prevention Data Protection Data Privacy Developer Tools AI Tools API Tools +7
—

About AI Security Gateway and CodeinCloud

In their own words, as submitted to SaaSHub.

AI Security Gateway
CodeinCloud

AI Security Gateway is the control layer between your application and any LLM provider. Change your base_url. Two lines of code. Your prompts are secured before they leave your infrastructure. Core Problems It Solves Sensitive DLP in text and vision prompts Prompt injection and jailbreak attacks...

Read more about AI Security Gateway

No description of CodeinCloud yet.

Features and specs

What each product offers, as listed by its team.

AI Security Gateway 19 features
CodeinCloud 5 features
  • PII Detection & Redaction
    28+ entity types (emails, SSN, API keys, etc.)
  • Multi-Modal DLP
    Text + OCR-based image scanning
  • Prompt Injection Detection
    Pattern + heuristic-based filtering
  • Stateless Processing
    No prompt/response storage
  • Smart Model Routing
    Cheapest/fastest model selection
  • Multi-Provider Support
    OpenAI, Claude, Gemini, Groq, MistralAI, Together.AI, DeepInfra
  • Budget Enforcement
    Block or downgrade based on cost thresholds
  • OpenAI-Compatible API
    Drop-in replacement
  • BYOK (Bring Your Own Key)
    Use your own provider credentials
  • Managed Wallet Mode
    Prepaid credits for simplified billing
  • Low Latency
    <50ms for text DLP
  • Audit Logs (Metadata Only)
    Violation types, counts, latency
  • Project-Based Isolation
    Per-key policies and configs
  • Recursive Loop Protection
    SHA-256 fingerprint detection kills agent retry loops
  • Webhook Notifications
    HMAC-signed real-time alerts to Slack/PagerDuty/SIEM
  • EU AI Act Compliance Logging
    Hash-chained tamper-evident audit records
  • Python SDK
    pip install aisg — typed exceptions
  • Chain Verification API
    Verify tamper-evidence of audit trail
  • JSONL Audit Export
    Export compliance records for regulators
  • Cloud-based development
    CodeinCloud offers a cloud-based coding environment, allowing developers to write, run, and manage code from anywhere without needing to set up a local development environment.
  • Accessibility
    Being web-based, the platform can be accessed from various devices and locations, making it convenient for remote work and collaboration across teams.
  • No local setup required
    Users can start coding quickly without installing IDEs, compilers, or dependencies on their own machines, which lowers the barrier to entry for beginners.
  • Potential for collaboration
    Cloud platforms often support real-time collaboration features, enabling multiple developers to work together on the same codebase efficiently.
  • Scalability
    Cloud infrastructure can typically scale resources up or down based on project needs, which is helpful for handling varying workloads.

Possible disadvantages

  • Internet dependency
    As a cloud-based service, it requires a stable internet connection to function, which can be a limitation in areas with poor connectivity or during outages.
  • Limited information available
    There is relatively little publicly available detail about the platform's specific features, pricing, and reliability, making it harder to evaluate thoroughly.
  • Data privacy concerns
    Storing code and projects on a third-party cloud raises potential security and privacy considerations, especially for sensitive or proprietary projects.
  • Potential performance limitations
    Cloud-based environments may experience latency or performance constraints compared to a powerful local development setup, depending on the service tier.
  • Vendor lock-in
    Relying on a specific cloud platform may make it difficult to migrate projects elsewhere, creating dependency on the provider's continued operation and pricing.

Analysis

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

AI Security Gateway
CodeinCloud

Overall verdict

  • Based on its positioning as an AI security gateway solution, it appears to be a specialized tool aimed at helping organizations secure their AI/LLM deployments, though independent verification of specific claims and performance is recommended before adoption.

Why this product is good

  • Focuses on the growing need for AI-specific security controls as organizations adopt LLMs and AI systems
  • Likely provides centralized monitoring and policy enforcement for AI traffic and interactions
  • May help address emerging risks like prompt injection, data leakage, and unauthorized AI usage
  • Positions itself in a specialized niche addressing modern AI infrastructure security gaps

Recommended for

  • Organizations deploying multiple AI models or LLMs that need centralized security oversight
  • Enterprises concerned about data leakage through AI/LLM interactions
  • Security teams looking to implement guardrails for AI usage across their organization
  • Companies needing to demonstrate AI governance and compliance for regulatory purposes
  • Businesses integrating third-party AI APIs who want an additional security layer

Overall verdict

  • I don't have verified, up-to-date information about CodeinCloud (codeincloud.net) to confidently assess its quality, reliability, or reputation. I cannot find reliable details about its features, pricing, user reviews, or business legitimacy in my training data, and I'm unable to browse the internet to check current information.

Why this product is good

  • Insufficient verified information available about this specific service to make reliability claims
  • No confirmed data on user reviews, uptime, customer support quality, or pricing structure
  • Cannot verify company legitimacy, ownership, or how long it has been operating
  • Unable to confirm security practices, data handling policies, or compliance certifications

Recommended for

  • Not able to provide a recommendation without additional verified information
  • Suggest checking independent review sites like Trustpilot, G2, or Reddit for user experiences
  • Consider verifying through domain registration lookups (e.g., WHOIS) for company transparency
  • Look for verifiable customer testimonials, uptime guarantees, and clear refund/support policies before committing
  • If considering this service, test with a small trial or free tier first if available before committing to a paid plan

Videos

Walkthroughs and reviews on video.

AI Security Gateway 1 video + Add
CodeinCloud 0 videos + Add

AI Security Gateway - The AI Firewall. Stop Data Leaks & Slash LLM Costs in 3 Minutes

No CodeinCloud videos yet. You could help us improve this page by suggesting one.

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
AI Security Gateway
CodeinCloud
100% 100%
AI
0% 0%
100% 100%
Security & Privacy
0% 0%
100% 100%
Developer Tools
0% 0%
100% 100%
LLM Gateway
0% 0%

Questions & Answers

As answered by people managing AI Security Gateway and CodeinCloud.

Why should a person choose your product over its competitors?

AI Security Gateway's answer

AI Security Gateway offers a unique combination that no competitor matches:

  • vs. Portkey/Helicone: They observe and log. We actively redact PII, kill agent loops, and push webhook alerts — before your data leaves your infrastructure.
  • vs. OpenRouter: They route traffic. We govern it — with PII redaction, budget enforcement, loop protection, and EU AI Act compliant audit trails.
  • vs. Vercel AI Gateway: They passively log. We scan, redact, block, and alert in real time.
  • vs. LiteLLM: We add a built-in firewall, webhook notifications, compliance logging, and managed hosting.

Plus: EU AI Act Article 12 enforcement begins August 2, 2026. AISG ships compliant audit trails today — hash-chained, tamper-evident, with JSONL export and chain verification. Most competitors have no compliance story at all.

How would you describe the primary audience of your product?

AI Security Gateway's answer

Software Architects, CISOs, and Engineering Managers at organizations moving LLM implementations from "experimentation" to "production." We serve teams that need to satisfy strict security and compliance reviews while simultaneously reducing the high cost of proprietary AI models. AI Security gateway is designed for developers, startups, and enterprises building applications with LLMs. It is especially valuable for teams moving from experimentation to production, where concerns around data security, compliance, and cost control become critical.

Which are the primary technologies used for building your product?

AI Security Gateway's answer

AI Security Gateway is built using a cloud-native architecture with Python-based API services, containerized deployments (ECS/EKS), and AWS infrastructure components such as NoSQL Databases and CDN. It leverages industry-standard NLP and security frameworks for detection and integrates with multiple LLM provider APIs through a unified, controlled and optimized gateway layer.

Who are some of the biggest customers of your product?

AI Security Gateway's answer

AI Security Gateway is currently being adopted by early-stage startups, independent developers, and AI-focused teams experimenting with production use cases. As the platform evolves, it is designed to support enterprise-grade deployments with advanced governance and compliance requirements.

What's the story behind your product?

AI Security Gateway's answer

AI Security Gateway (AISG) was built after observing a recurring pattern across teams adopting LLMs: developers were unknowingly sending sensitive data such as API keys, logs, and customer information directly to external AI providers, while also struggling with unpredictable costs. Existing solutions either focused on routing or security, but not both. AISG was created as a unified layer to solve these real-world problems — enabling safe, controlled, and cost-efficient AI adoption. AISG was born out of a realization by its founder, a veteran software architect, that 'Shadow AI' was becoming the biggest security risk in the modern stack. After seeing users accidentally paste company secrets into AI prompts, we engineered a stateless, high-performance firewall to allow innovation to continue without compromising data sovereignty.

What makes your product unique?

AI Security Gateway's answer

Unlike standard AI gateways that act as passive proxies, AI Security Gateway is an active security and compliance engine. We combine:

  1. Multi-modal Vision DLP — OCR scans images for PII before they reach any provider
  2. Recursive Loop Protection — the only API proxy that detects and kills agent retry loops at the gateway layer, across all frameworks (LangChain, CrewAI, AutoGPT)
  3. Real-time Webhook Alerts — HMAC-SHA256 signed push notifications to your SOC workflow. Most AI proxies require polling; AISG pushes events the moment they happen.
  4. EU AI Act Compliance — hash-chained, tamper-evident audit records that satisfy Article 12 requirements. SHA-256 fingerprints only — no raw content stored. Privacy by design.
  5. Financial Intelligence — treats LLM tokens like a trading desk, routing each request to the cheapest provider in real time. All in a single stateless proxy with 2-line integration

User comments

Share your experience with using AI Security Gateway and CodeinCloud. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

AI Security Gateway 1 mention
CodeinCloud 0 mentions
  • I Built an Open-Source AI Firewall Because Every LLM App Leaks Data
    I built AI Security Gateway to fix this. It's an open-source proxy that sits between your app and any LLM provider. Every prompt passes through a security layer before it reaches the model. - Source: dev.to / 5 months ago

Tracking CodeinCloud since Jun 2021.

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