Introducing Faultr: Adversarial Compliance Testing for AI Agents

AI agents are no longer just writing emails; they are beginning to move money. As agentic commerce matures, the industry faces a critical challenge: compliance.

How do we ensure an autonomous agent doesn't violate a price ceiling, ignore a mandatory disclosure, or fall prey to a prompt injection that results in an unauthorized transaction?

The Compliance Gap#

Traditional payment gateways were built for human-to-machine interactions. They rely on human oversight to catch errors and fraudulent intent. AI agents, however, operate at a scale and speed that renders human-in-the-loop verification impossible.

At Faultr, we are building the first adversarial stress-testing platform specifically for agentic commerce. Our mission is to provide developers with the tools to verify that their agents are not just "smart," but compliant with every relevant protocol: AP2, ACP, TAP, and UCP.

Why Adversarial Testing?#

Standard unit tests are insufficient for the non-deterministic nature of LLMs. You need to actively try to break your agent's compliance logic before a real-world scenario does it for you.

Getting Started#

In the coming weeks, we'll be sharing technical deep-dives into our evaluation methodology and industry analysis on the shift from "Know Your Customer" (KYC) to "Know Your Agent" (KYA).

We're currently in closed beta. Sign up for early access to start testing your agents against the Faultr compliance engine.

typescript
// Sample Faultr CLI integration
import { evaluate } from '@faultr/sdk';

const results = await evaluate({
  agentEndpoint: 'https://api.your-agent.com/v1',
  scenarios: ['pricing-compliance', 'unauthorized-disclosure'],
  apiKey: process.env.FAULTR_API_KEY,
});

console.log(`Compliance Score: ${results.score}%`);

Stay tuned for our next post where we dive into the Zero-Signal Problem in fraud detection.