
n8n.io
Temporal
Pipedream
CTFreak
API Schedulr
Make.com
Wordware
Trigger workflows from APIs, on a schedule, or on demand. API calls are easy with authentication handled for you. Add durable delays that survive server restarts.

liteLLM
OpenRouter
Portkey
Helicone AI
G8KEPR
Burgus.ai
Kong Enterprise
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.

Which is more popular?
Based on our record, Trigger.dev seems to be a lot more popular than AI Security Gateway. While we know about 19 links to Trigger.dev, we've tracked only 1 mention of AI Security Gateway.
Website, pricing, platforms and company facts side by side.
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| Website | trigger.dev | aisecuritygateway.ai |
| Pricing | ||
| Company | — | Startup from the United States · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Trigger.dev yet.
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...
What each product offers, as listed by its team.


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


No analysis of Trigger.dev yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
No Trigger.dev videos yet. You could help us improve this page by suggesting one.
AI Security Gateway - The AI Firewall. Stop Data Leaks & Slash LLM Costs in 3 Minutes
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Trigger.dev and AI Security Gateway.
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 — 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 — 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:
Share your experience with using Trigger.dev and AI Security Gateway. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


We run a large TypeScript monorepo at Trigger.dev. PostgreSQL, Redis, ClickHouse, a Remix web app, multiple internal packages. When we tried worktrees for parallel Claude Code sessions, we spent more time on setup than shipping code. - Source: dev.to / 5 months ago
Cloudflare, Azure, and Vercel are offering Durable Workflows. But also businesses like Temporal.io and Inngest build their business around them. Trigger.dev is an open source library for TypeScript apps (I am a fan 😇) that also offers a... - Source: dev.to / 8 months ago
We built an execution engine ourselves https://github.com/simstudioai/sim/tree/main/apps/sim/executor and for the infra for background jobs, we use https://trigger.dev/. - Source: Hacker News / 9 months ago
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
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