Production Ready

Built for the Enterprise

Real-world patterns for ensuring safety and compliance in your AI applications. Copy, paste, and ship with confidence.

Example 01

Financial Compliance

Prevent your AI from making unauthorized guarantees ('100% no risk') or acting like a regulated financial advisor.

What this enforces

  • Blocks '100% no risk', 'guaranteed return'
  • Prevents regulatory exposure
  • Deterministic compliance gate
finance-agent.ts
1import { verify } from "gateia";
2import { z } from "zod";
3
4const FinancialReply = z.object({
5 message: z.string(),
6 disclaimer_required: z.boolean(),
7});
8
9const result = await verify({
10 output: llmResponse,
11 contract: FinancialReply,
12 policies: ["finance-safe"],
13 mode: "enforce",
14});
15
16if (!result.allowed) {
17 // Block non-compliant guarantees
18 return send("This request requires manual review.");
19}
20
21send(result.safeOutput.message);
customer-support.ts
1import { verify } from "gateia";
2import { z } from "zod";
3
4const SupportReply = z.object({
5 reply_text: z.string(),
6});
7
8const result = await verify({
9 output: llmResponse,
10 contract: SupportReply,
11 policies: ["pii-safe"],
12 mode: "enforce",
13});
14
15if (!result.allowed) {
16 return send("I can’t share personal contact details here.");
17}
18
19send(result.safeOutput.reply_text);
Example 02

Customer Support Privacy

Automatically redact or block sensitive PII like emails and phone numbers before they reach the user.

What this enforces

  • Blocks or redacts emails & phone numbers
  • Prevents accidental PII leakage
  • Safe for customer-facing bots
Example 03

Secret Leakage Prevention

Ensure your internal debug agents never accidentally output valid API keys or credentials.

What this enforces

  • Detects AWS, Stripe, OpenAI, Slack keys
  • Prevents credential exfiltration
  • Protects infra & accounts
internal-tool.ts
1import { verify } from "gateia";
2import { z } from "zod";
3
4const DebugOutput = z.object({
5 explanation: z.string(),
6});
7
8const result = await verify({
9 output: llmDebugResponse,
10 contract: DebugOutput,
11 policies: ["secrets-safe"],
12 mode: "enforce",
13});
14
15if (!result.allowed) {
16 audit.log("Secret leak blocked", result.enforcement);
17 throw new Error("Sensitive credentials detected");
18}
19
20return result.safeOutput.explanation;
frontend-render.ts
1import { verify } from "gateia";
2import { z } from "zod";
3
4const HtmlContent = z.object({
5 html: z.string(),
6});
7
8const result = await verify({
9 output: llmGeneratedHtml,
10 contract: HtmlContent,
11 policies: ["markup-safe"],
12 mode: "enforce",
13});
14
15if (!result.allowed) {
16 return render("<p>Content blocked for security reasons.</p>");
17}
18
19render(result.safeOutput.html);
Example 04

Frontend Security

Render AI-generated HTML safely by automatically blocking XSS vectors and malicious scripts.

What this enforces

  • Blocks <script>, iframe, javascript: URLs
  • Prevents XSS attacks
  • Safe rendering in browsers

Roadmap

Upcoming Enterprise Policies

We are building the most comprehensive guardrail library for mission-critical AI. Here is what is shipping next.

Policy IDStatus
execution-safety
In Development
unsafe-automation
Planned
data-loss-prevention
In Development
format-stability
Planned
overreach-prevention
In Development
cost-explosion-guard
Planned
audience-boundary
In Development

Ready to secure your AI?

Start validating your LLM outputs with deterministic guardrails today.