Cost guide

AI and LLM Penetration Testing Cost

AI and LLM penetration testing starts at $4,500 for a single LLM feature, agreed as a fixed price before testing begins. It covers prompt injection, jailbreaks, data leakage, and unsafe tool use, mapped to the OWASP Top 10 for LLM Applications and MITRE ATLAS, with full reporting and a free retest.

Get your fixed price What the test covers

AI & LLMFixed price

Small

One LLM feature such as a chatbot or copilot, a single model, basic guardrails, and no tool access, covering prompt injection, jailbreaks, and data leakage.

$4,500

Medium

An application with a retrieval (RAG) pipeline, several prompts, and one or two tools the model can call, or a couple of models tested together.

$7,500

Large

An agentic system with many tools, multiple models or agents, MCP servers, and integrations, or classical ML models tested for poisoning and extraction.

$12,000+

Free retest includedFrom $4,500

What moves the number

What drives the cost of AI and LLM penetration testing

Number of models

One model is contained; several models, or a mix of hosted and self-hosted ones, each need their own testing. More models means more guardrails, behaviors, and failure modes to probe.

Tools and agent actions

An agent that can read email, query data, or call APIs turns a prompt injection into a real action, and every tool is a permission to test. More tools and more agency drive the effort up sharply.

RAG and data pipelines

Retrieval pipelines, vector stores, and the documents a model ingests add poisoning and data-exposure paths. The more data sources and retrieval logic behind the model, the more pipeline testing the scope needs.

Guardrail and integration complexity

Custom filters, system prompts, and multi-step orchestration each add bypass and extraction cases. A simple chatbot with one prompt is quicker than a layered application wired into your own systems.

Application versus model-level

Testing the application around the model is where most engagements start. Adding model-level red teaming, for a model you host or fine-tune, is extra scope agreed when a regulator or standard asks for it.

In the price

What every AI and LLM penetration testing price includes

✓Prompt injection and jailbreak testing against your production guardrails
✓System-prompt and sensitive-data extraction, and unsafe tool-use testing
✓Findings mapped to the OWASP Top 10 for LLM Applications and MITRE ATLAS
✓A fixed price agreed in writing before work begins, with no hourly billing
✓An executive summary for leadership and a full technical report with reproduction steps
✓A free retest of remediated findings, with the report updated to show them closed
✓An attestation letter and findings platform access at no extra cost
✓Senior in-house testers, OSCP and OSCE3 certified

Keep it tight

How to keep the price down

01Give us a staging environment with real tool definitions and sandboxed accounts. Testing agent actions safely there is faster and cheaper than engineering guardrails around production.
02Scope to the application around the model first. Prompt injection, guardrail bypass, and unsafe tool use are where real risk sits; model-level red teaming can be added only if a standard asks.
03Share your architecture: the models, prompts, tools, and data sources in play. Knowing the wiring up front means the engagement tests it rather than spending time discovering it.
04Start with one LLM feature rather than every AI surface at once. A focused first test on the highest-risk copilot or agent is cheaper and tells you where to look next.

Timeline

Onboarding starts within 24 hours of a signed proposal, and testing typically begins within a week of scoping. A single LLM feature runs about a week of testing plus reporting; systems with many models, agents, and tools take longer. Critical findings are shared as we confirm them, and the free retest follows your hardening.

Priced the same forSOC 2 ISO 27001 GDPR

FAQ

Questions about AI and LLM penetration testing cost

01How much does an AI penetration test cost?

It starts at $4,500 for a single LLM feature, fixed before work begins, with a free retest. Systems with more models, agents, or integrations start at $7,500 for medium and $12,000 and up for large. Share your architecture during scoping for a fixed price. See the pricing page.

02What drives the price of an AI test?

The number of models, how many tools an agent can call, and the complexity of any retrieval pipeline and guardrails. A single chatbot with one prompt is quick; an agentic system with many tools, several models, and MCP integrations is a much larger engagement.

03Do you test the model itself or the application around it?

Primarily the application: prompt injection, guardrail and system-prompt bypass, unsafe tool use, and retrieval abuse, which is where real-world risk concentrates. Model-level red teaming of a model you host or fine-tune can be added when a regulator or standard asks for it. We agree the boundary during scoping.

04Can you test an agent with tool access safely without extra cost?

Yes. We test in staging with real tool definitions where possible, and in production we use sandboxed accounts and read-only or dry-run tool modes so every action stays reversible. Proving an injection would have sent the email, without it actually sending, is part of the fixed price.

05How can we keep an AI test affordable?

Start with the application around one high-risk LLM feature rather than every AI surface at once, provide a staging environment with sandboxed tool access, and share the models, prompts, and data sources in play. Model-level red teaming can wait until a standard requires it.

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