Pentest your AI features before someone talks them into a breach.
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If your AI can reach it, so can anyone who chats with it.
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From the first chat message to a proven exploit.

Scope your pentest with an expert
Multiple checks across your prompts, tools, data and agents.
Direct prompt injection and jailbreaks
Indirect prompt injection
System prompt leakage
Guardrail and safety filter bypass
Goal manipulation
Sensitive information disclosure
Memory and context poisoning
RAG (retrieval-augmented generation) and vector weaknesses
Data and model poisoning
Excessive agency
Tool and function misuse
Insecure tool and plugin integration
Unsafe autonomous actions
Multi-agent communication poisoning
Privilege compromise and confused deputy
Broken authorization on AI features
Identity spoofing
Improper output handling
Unbounded consumption and denial of wallet
Model and supply chain exposure
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One poisoned file is all it takes to leak customer data
A hidden instruction in an uploaded file gets your assistant to call an internal tool, the tool skips a permission check, and another tenant's invoices show up in the chat.
Agents follow that chain as far as it safely goes and show you every step.
If agents confirm a web or API issue while testing your AI features, you'll find that in the report too.
LLM red teaming frameworks vs a real AI Capabilities pentest
AI Capabilities Pentest or a Web App Pentest?
Your whole application, AI features included
Hundreds of agents audit one app
Logic, roles, APIs and AI features get tested
You provide: your app, plus code or test users if you're going the white-box route
Your copilots, chatbots and AI agents
Agents spend the whole run on your LLM features only
Prompts, tools, memory, retrieval and AI permissions get tested
You provide: a staging URL, test users and ideally your code

Built your app using Lovable or Supabase?
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Pentest your AI features today
Point Aikido at your staging app and add a few test users. Agents take it from there.

FAQs about LLM and AI agent pentesting
AI agents attack the LLM features in your application, like copilots, chatbots, RAG search and tool-using agents, the way an attacker would. They look for prompt injection, data leaks, tool misuse, memory and retrieval poisoning, and broken authorization on AI actions, then prove each finding with a working exploit.
If you've built an LLM feature into your product, you need a test that covers the model together with the tools, data and permissions behind it. Aikido's AI Capabilities pentest does that and gives you proof of exploit and an audit-ready report.
Frameworks give you building blocks: attack prompts, orchestrators and graders. You still need to set up targets, run the tests, judge the results and write the report. Aikido's agents find your AI features on their own, test everything including tools and data, validate every finding and hand you the report.
Yes. Aikido tests the main risks from both lists, including prompt injection, sensitive information disclosure, excessive agency, tool misuse, memory poisoning, system prompt leakage, vector and embedding weaknesses and unbounded consumption.
Yes. Agents run several separate conversations, each with many turns and several attempts, so they catch guardrails that only give way after a long back-and-forth.
Yes. Agents plant instructions in the content your AI reads, like uploaded files, retrieved documents, web pages, emails and tool output, and check whether those instructions take control.
Yes. Agents test what your AI agent can do through its tools, including whether an attacker can make it call a tool with malicious parameters or reach systems it shouldn't.
Both. Connect your repositories and agents read the code to map chat entry points, prompts, tools, memory and retrieval, which finds more for the same credits. Without code, agents work from your app and any context you give them.
A staging URL with your AI features, domain verification, test users for each role you want tested and Aikido's IP addresses on your allowlist. Connecting your code is optional, but recommended.
Run it on staging. Agents use your AI features like a real user would, and that includes tools that can create, change or delete data. Use a test instance with non-production data and switch off destructive tools like payments or outgoing email where you can. You can stop every agent instantly with the panic button.
Yes. Every Aikido Web and Mobile Pentest includes the AI features in scope. The AI Capabilities Pentest makes agents focus only on AI features, and keeps the report focused on AI risks.
Yes. You get an audit-ready report with validated findings, proof of exploit and fix guidance, covering technical controls for SOC 2 Type II, ISO 27001 and HIPAA.
Yes. Aikido connects to Lovable and Supabase, so you can pentest an AI-generated app or an app with a Supabase backend in just a few clicks.
Pentests run on credits. You see the exact price before anything starts. Check our pentest pricing for the details.
Agents use the same techniques a human red teamer would, from slow multi-turn manipulation to chaining a jailbreak into a tool call. Because they run many conversations at once, you can rerun the whole test every time you change a prompt, a model or a tool.