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🏆 SELECTED FOR GOOGLE FOR STARTUPS | ANTLER IMMERSION PROGRAM•⚡ COHORT MEMBER IN GEMINI API SPRINT 2026•🔥 ARGIS SECURED FIRST PLACE IN 4 HACKATHONS•
🏆 SELECTED FOR GOOGLE FOR STARTUPS | ANTLER IMMERSION PROGRAM•⚡ COHORT MEMBER IN GEMINI API SPRINT 2026•🔥 ARGIS SECURED FIRST PLACE IN 4 HACKATHONS•
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Built for live AI traffic

Stop AI attacks before they reach your models.

Argis is a runtime security firewall that blocks prompt injection, redacts PII, and enforces policy — in under 15ms.

Get StartedView setup guide

Start securing your AI models in production today.

Traffic

10K+

API Requests Secured

Community

500+

Early Access Devs

Live system monitor

Secure Inference Pipeline

Enforcing

src/middleware.ts

.

Suspicious injection pattern

Evaluated in live request flow

Intercepted

PII detection & sanitization

Evaluated in live request flow

Redacted

Model inference - Compliant

Evaluated in live request flow

Cleared
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Trusted by engineering teams building with production discipline

<15msTypical overhead
99.9%Service uptime
5 minInitial integration
24/7Continuous monitoring
What Argis does

Reduce risk without adding friction to the product team.

Integrate once and let your security team build scalable governance rules without touching application code or blocking product releases.

Runtime protection

Stop prompt injection before it reaches production models.

Inspect requests, detect suspicious intent, and enforce policy at the edge of every model call.

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Data controls

Protect sensitive data without slowing product teams down.

Mask PII, apply policy rules, and keep a clean audit trail for security and compliance reviews.

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Governance

Manage providers, risk, and spend from one control layer.

Set budgets, route traffic by policy, and ship with a shared operating model across engineering and security.

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Platform Coverage

The controls teams expect in production.

Argis is designed to look less like a point solution and more like a shared operating layer bridging the gap between product team speed and strict compliance requirements.

Prompt injection detection
PII redaction in prompts and responses
Provider-level routing and fallback policy
Spend guardrails and token budgets
Evidence-ready audit logs
Security posture visibility for every route
Interactive Copiloting

AI Copilot: Converse with your security posture.

You shouldn't have to manually write thousands of complex regex rules or read raw threat JSON logs. The Argis conversational Copilot parses logs, recommends security adjustments, and generates custom YAML policies instantly.

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Conversational Log Auditing

Simply ask, "Show me why user session 829 was flagged as blocked" or "Did we intercept any jailbreaks last night?" and receive immediate, analyzed summaries.

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Instant Policy Synthesis

Translate verbal instructions like "Block all prompts that mention internal database structure" into strict JSON schema policies ready to be deployed across routes in one click.

Argis Copilot Console
CO-INTELLIGENCE ACTIVE
OP
"Summarize blocked prompts in the last 15 minutes and create a policy to prevent future leaks."
AG
Argis Security Copilot:I blocked 2 requests containing raw environment variables and API keys.
// Recommended Guardrail Policy
guardrail.blockPattern("API_KEY_[A-Za-z0-9]{16}")
Context Authorization Map
Proxy Active
psychologyAI Model (LLM)
Generates Tool request
Argis MCP Firewall
Inspecting Context
databasePostgres DB
SQL Masked
folder_openFilesystem
Write Blocked
apiGitHub API
PII Redacted
Context loop security

MCP Gateway: Secure your Model Context loops.

Under Anthropic's Model Context Protocol (MCP), LLMs gain direct access to resources, APIs, and file systems. Argis acts as an intermediate firewall, inspecting MCP tool payloads, preventing prompt exfiltration, and enforcing zero-trust boundaries at runtime.

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Zero-Trust Tool Filtering

Restrict tool access dynamically. Block file modification commands or unsafe SQL write calls requested by models, ensuring read-only permissions where appropriate.

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Context Poisoning Protection

Prevent malicious content (e.g. prompt injection payloads fetched via email tools or web scrapers) from poisoning the LLM system prompt context before it reaches execution.

Why Teams Trust Argis

Designed to make AI systems easier to operate, review, and defend.

Unified Policy Control

A centralized command layer for security and product teams to establish strict governance and instant traffic enforcement.

Real-time Monitoring & Detection

Continuously scan streaming tokens to automatically detect prompt injections, PII leaks, and anomalous model behavior.

Dynamic Enforcement Infrastructure

Execute complex routing, token rate-limiting, and defensive provider fallbacks without rewriting your application backend.

Developer Experience

Integrate precisely in minutes.

Drop Argis seamlessly into your Next.js, Node, or Python app with just a few lines of code. It wraps your existing API clients and hooks into the request workflow automatically.

1. Install the SDK package

Available seamlessly on npm, yarn, or pnpm.

2. Initialize the Guardrail globally

Configure your providers, rate limits, and custom redaction rules.

TERMINAL
npm install @argis/sdk
# or yarn, pnpm
src/middleware.ts
import { secureLLM } from "@argis/sdk";

export const guard = secureLLM({
  provider: "anthropic",
  policies: ["redact-pii", "block-injection"],
  budgetLimitUsd: 500,
});

Ship AI features with confidence.

Start with a single integration today. Grow into shared controls for every team touching your model.

Works with:OpenAIAnthropicGoogleMetaMistralCohere
Get StartedView pricing

No credit card required · 5-minute setup