7 Resources to Break-Test Your AI Agents Including Hermes Agent

TL;DR

• Security testing is mandatory for any modern hermes agent interacting with external environments.
• Prompt injection and indirect attacks can completely hijack an intelligent agent.
• Leveraging open-source benchmarks helps you simulate attacks before production deployment.
• Relying on rigid safety filters is no longer enough in 2026.

Prompt injection and Security for 2026

If you're building AI agents, don't just test whether they work. Test how easily they can be tricked.

AI agents can read external content, use tools, access files, and take actions. That makes security testing important because an agent can sometimes be manipulated through hidden instructions, malicious inputs, or unsafe tool interactions. A compromised hermes agent might silently exfiltrate sensitive data while pretending to execute normal commands.

I’ve listed down 7 resources that can help you break-test your agents and find these weaknesses before they become real problems. The goal isn't to prove that your agent can never be attacked. It's to understand where it can fail, how badly it can fail, and what you can do about it before deployment.

what is an ai agent

An intelligent agent is an autonomous system that uses a large language model to reason, make decisions, and execute tools to achieve specific goals. Imagine you deploy a hermes agent to act as a personal assistant. You might ask it to plan a complex hiking itinerary or simply place an online order for a salad.

The whole time the system is running, it continuously reads external websites, parses emails, and interprets API responses. That constant exposure to untrusted data introduces massive security risks. If your hermes agent encounters a poisoned website while looking up a hiking trail, the attacker can hijack the goal state of the agent entirely.

how to create an ai agent

Creating an agent requires linking a core reasoning model to actionable tools. Developers usually integrate a framework like LangChain or define custom APIs that the hermes agent can invoke. You set up a system prompt to define the boundaries of the agent, and then you bind specific functions to it.

For instance, you might give your hermes agent a tool to search a database for the best hiking gear and another tool to pay for a fresh salad delivery. Once the framework is built, you have to secure the environment. The moment an external Uniform Resource Locator feeds malicious text into the tool pipeline, standard safety filters often fail. That is why robust evaluation frameworks are critical.

7 Resources to Break-Test Your AI Agents

Here are the top tools available right now for evaluating agent defenses.

01. AgentDojo

Use case: Test how agents resist prompt injection in tool-using environments. (GitHub)

AgentDojo provides a realistic environment for testing how tool-using agents respond to prompt injection attacks. Since a standard hermes agent frequently interacts with outside data, attackers often hide instructions inside innocent-looking text. AgentDojo lets you simulate these conditions safely.

You can run your hermes agent through various attack vectors to see if it executes unauthorized commands. It is especially useful for verifying whether your application strictly separates data channels from instruction channels.

# Example of running an evaluation suite against a hermes agent
agentdojo evaluate --agent hermes-v2 --suite prompt_injection

02. BIPIA

Use case: Test indirect injections hidden inside emails, webpages, tables and code. (GitHub)

BIPIA serves as a benchmark for testing attacks hidden inside external content such as emails, webpages, tables, and documents. Indirect prompt injection is notoriously difficult to block because the hermes agent perceives the malicious input as legitimate retrieved data.

If your hermes agent reads a receipt for a salad that contains hidden white text commanding it to forward your emails, BIPIA helps you catch that vulnerability. It aligns heavily with the OWASP AI Testing Guide for indirect prompt injections.

03. AgentInjectionBench

Use case: Test tool-output injection, goal hijacking, privilege escalation and data exfiltration. (GitHub)

AgentInjectionBench is a benchmark focused on attacks against modern AI agents, including tool manipulation, goal hijacking, and data exfiltration. Attackers often exploit tool outputs to escalate privileges.

For example, if your hermes agent uses a weather API to check conditions for a hiking trip, a compromised API could return an instruction that overrides the original system prompt. AgentInjectionBench tests these exact edge cases, which means you can identify privilege escalation paths early.

04. Agent Security Bench

Use case: Evaluate agent security across hundreds of tools and different attack scenarios. (GitHub)

You must test your agent beyond prompt injection, including unsafe tool use, memory poisoning, approval bypasses, and data leaks. Agent Security Bench provides adversarial cases that stress-test how a hermes agent handles persistent threats and malicious tools.

If an attacker tries to poison the long-term memory of your hermes agent with false preferences about your favorite hiking spots or salad dressings, this benchmark will reveal if your approval gates actually hold up.

// Mocking an approval bypass test on a hermes agent
import { evaluateSecurity } from 'agent-security-bench';
import { HermesAgent } from 'hermes-sdk';

const myAgent = new HermesAgent({ tools: ['book_hiking_trip', 'order_salad'] });

evaluateSecurity(myAgent, {
  attackCategory: 'approval_bypass',
  strictMode: true
});

05. Agent3Sigma-Stage (A3S-Bench)

Use case: End-to-end security evaluation framework for autonomous agents testing resistance against multi-turn injections. (GitHub)

Agent3Sigma-Stage is an advanced framework designed to systematically measure both an agent's ability to resist attacks during multi-turn interactions and its utility in completing legitimate tasks. Attackers often split malicious payloads across multiple conversation turns.

Your hermes agent might block a direct attack, but if the payload is fragmented across three different queries about a hiking route, the agent might inadvertently assemble and execute the dangerous command. A3S-Bench uses automated LLM-as-a-Judge pipelines to evaluate this exact vulnerability.

06. Bordair

Use case: Test prompt injections across text, images, documents, audio and agentic workflows. (GitHub)

Bordair is a dataset for testing adversarial inputs across text, images, documents, and audio. As multimodal capabilities expand, an attacker does not even need text to hijack your hermes agent.

They could embed a malicious payload inside an image of a salad or encode an attack within an audio file. Bordair provides over 250,000 attack payloads across different modalities so you can harden your multimodal endpoints.

07. ASPI

Use case: Test whether agents become vulnerable when they ask users for clarification. (Hugging Face)

ASPI is an interesting benchmark that tests whether an attacker can influence an agent during the clarification process itself. Sometimes a hermes agent will pause and ask the user for more details before taking a sensitive action.

Attackers can use this specific clarification window to inject secondary commands. If your agent asks to confirm a hiking reservation, the attacker might reply with an approval coupled with a command to disable security logging. ASPI helps you identify these behavioral flaws.

Analyzing the Frameworks

To make it easier to choose the right tool for your specific needs, here is a breakdown of how these resources compare.

Securing the Uniform Resource Locator Data

Every Uniform Resource Locator your agent fetches is a potential attack vector. You must treat all external data as untrusted. If your hermes agent fetches a menu to order a salad, the text on that page must be sanitized before it enters the reasoning context.

The same applies when booking a hiking lodge. You cannot assume the booking API is completely safe just because it uses standard protocols. Security frameworks help you build resilient architectures, but you have to integrate them into your continuous integration pipelines. By doing so, you ensure your hermes agent remains a helpful assistant rather than a liability.

Frequently Asked Questions