Free AI Agent Security Assessment

Reddit r/AI_Agents Products

Summary

Antitech is offering free early-access security assessments for AI agents, testing against attack vectors like prompt injection, tool abuse, and data leakage, providing a vulnerability report and discounts for participants.

Hey everyone, We’re building **Antitech**, a security layer for AI agents and LLM-powered workflows. We’re opening a small number of free early-access assessments for teams/builders working on AI agents. If you give us access to an endpoint of a **Dockerized / sandboxed environment** of your agent, we’ll test it against common and emerging AI-agent attack vectors, including: * Prompt injection * Indirect prompt injection * Tool abuse * Data leakage / exfiltration * Fake authority / malicious context * Unsafe agent behavior * Weak guardrails and policy bypasses In return, you get a **free vulnerability report** showing what we found, how serious it is, and practical recommendations to harden your agent. This is completely free. No catch. We’re doing this because we want to work closely with real AI-agent builders while shaping the product. Early participants will also get: * A big discount once the final product is ready * Insider updates while we build * Early access to new features * The option to become a design partner * Priority access to future assessments What we need from you: * An endpoint of a sandboxed/Docker environment * Permission to test within agreed boundaries * A short feedback call after the report We won’t publicly disclose anything without your permission. If you’re building AI agents and want to know how they can be attacked before someone else finds out the hard way, DM me or comment below.
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I think most AI agents are less secure than their builders realize

Reddit r/AI_Agents

The article argues that AI agent security is often overstated with a focus on prompt injection, while overlooking broader risks such as unauthorized tool use, data access, and financial transactions. It calls for more attention to what agents can actually be made to do in production environments.