AI Security Gateway
Portkey
liteLLM
OpenRouter
Helicone AI
Kong Enterprise
Apigee
Azure API Management
PythonAnywhere
Heroku
Google App Engine
DigitalOcean
Microsoft Azure
AWS Cloud9
Codeanywhere
Amazon AWS
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.
Self-host the open-source core (Apache 2.0) or managed cloud service or Hybrid VPC. Change two lines of code (base URL + API key) to route through AISG. No SDK changes, no code refactoring.
Try it free: aisecuritygateway.ai Open source: github.com/aisecuritygateway
AI Security Gateway PythonAnywherePythonAnywhere is especially recommended for Python developers (beginners and intermediates), educators, students, and hobbyists who are looking for an easy and quick way to deploy and host their Python applications or who need an online python environment for coding practice.
AI Security Gateway's answer
AI Security Gateway offers a unique combination that no competitor matches:
Plus: EU AI Act Article 12 enforcement begins August 2, 2026. AISG ships compliant audit trails today โ hash-chained, tamper-evident, with JSONL export and chain verification. Most competitors have no compliance story at all.
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.
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.
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.
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 โ 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.
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:
Based on our record, PythonAnywhere seems to be a lot more popular than AI Security Gateway. While we know about 55 links to PythonAnywhere, we've tracked only 1 mention of AI Security Gateway. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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 / 4 months ago
The website is already built. Each comment will have a reddit post URL, and the bot should leave a comment on that URL. We can use pythonanywhere.com for this to make it easiest. Source: about 3 years ago
If you are learning, use pythonanywhere.com as they specialize in python, and make setup easy. Only $5 a month. Start with a barebones flask app, get it to run, then follow a tutorial. Actually better to build the app locally, easier to test with IDE like Pycharm. Then upload to the net. Source: about 3 years ago
Hello, I have a Minecraft server running on a Rpi with Paper. It works great and I use it to play with some of my friends. However, the server's public IP address often changes, meaning that I have to give my friends the new IP address daily. Being a programmer, I feel this could be automated. I don't want to buy a domain, so I want to try and setup a system where the server sends Its IP to my PythonAnywhere... Source: over 3 years ago
Hosting wise, I would reccomend pythonanywhere.com, combined with either https://imagekit.io or https://cloudinary.com. Source: over 3 years ago
So what is the best alternative? I have one Plotly Dash app on pythonanywhere.com where I spend 6 bucks a month so I don't want to spend anymore than 5 dollars per month on the PHP + MySQL. Source: over 3 years ago
Portkey - Build production-grade & reliable AI apps with Portkey
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
liteLLM - One library to standardize all LLM APIs
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
OpenRouter - A router for LLMs and other AI models
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
