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AI Security Gateway VS Trigger.dev

Compare AI Security Gateway VS Trigger.dev 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.

AI Security Gateway AI Security Gateway Landing Page
Rating
0 reviews
Pricing
Open source Freemium Free trial
Is it good? Alternatives
Trigger.dev

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.

Trigger.dev Landing page
Rating
0 reviews
Is it good? Alternatives
Axcrypt
AxCrypt is a powerful, easy-to-use encryption tool that protects your files, passwords, and personal information with strong AES-256 security. Available on Windows, Mac, Android, and iOS, it keeps your data safe wherever you go. sponsored

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.

social mentions
1 vs 19
AI popularity
100% vs 0%
alternatives listed
43 vs 174

Base details

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

AI Security Gateway
Trigger.dev
Website aisecuritygateway.ai trigger.dev
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
Business Tools Support, Sales, And Marketing Web Service Automation Automation API Tools +2

About AI Security Gateway and Trigger.dev

In their own words, as submitted to SaaSHub.

AI Security Gateway
Trigger.dev

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 Trigger.dev yet.

Features and specs

What each product offers, as listed by its team.

AI Security Gateway 19 features
Trigger.dev 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
  • Ease of Use
    Trigger.dev provides a user-friendly interface and intuitive workflow automation, making it accessible even to non-technical users.
  • Integration Capabilities
    It supports integration with a wide range of third-party applications, allowing users to streamline processes across different platforms.
  • Scalability
    Trigger.dev can handle growing amounts of work or an increase in workload efficiently, making it suitable for businesses of various sizes.
  • Customizability
    The platform offers customizable workflows, enabling users to tailor automations to their specific needs and requirements.
  • Reliable Support
    Trigger.dev is backed by reliable customer support which helps resolve user issues, ensuring minimum disruption in service.

Possible disadvantages

  • Cost
    Depending on the usage and features required, Trigger.dev might be expensive for small businesses or startups with limited budgets.
  • Complexity in Advanced Features
    While basic functionalities are easy to use, more advanced features might require a learning curve or technical expertise.
  • Dependency on Internet Connectivity
    As a cloud-based service, Trigger.dev's performance is dependent on stable internet connectivity, which might be challenging in areas with unreliable access.
  • Limited Offline Capabilities
    The platform offers minimal offline functionality, limiting its usage in environments where internet access is limited.

Analysis

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

AI Security Gateway
Trigger.dev

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

No analysis of Trigger.dev yet.

Videos

Walkthroughs and reviews on video.

AI Security Gateway 1 video + Add
Trigger.dev 0 videos + Add

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

No Trigger.dev 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
Trigger.dev
100% 100%
AI
0% 0%
0% 0%
Business Tools
100% 100%
100% 100%
Security & Privacy
0% 0%
0% 0%
Automation
100% 100%

Questions & Answers

As answered by people managing AI Security Gateway and Trigger.dev.

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

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Social recommendations and mentions

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

AI Security Gateway 1 mention
Trigger.dev 19 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 / 4 months ago
  • We ditched worktrees for Claude Code. Here's what we use instead
    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
  • Do we need AWS Durable Functions when we have Step Functions?
    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
  • Show HN: SIM – Apache-2.0 n8n alternative
    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

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