AI Security Has Become
Noisy.
Every week brings another framework, another disclosed vulnerability, another vendor change, another alarming post about what could go wrong. Engineering teams don't need more of that. They need less. They need clarity.
Another framework claiming to be the standard
Another disclosed vulnerability that may or may not apply to you
Another vendor with a pitch deck and a discount code
Another post insisting you're already behind
We don't do security assessments unless they create measurable value to you.
Evidence over fear. Clarity over noise.
Not every AI application requires a security assessment. Our goal was never to sell as many pentests as possible — it's to determine whether one is actually needed.
That means some conversations end after a single call, with no proposal attached. Others uncover evidence worth acting on. Either way, you leave with clarity about where you actually stand — not a sales pitch dressed up as a risk report. This is why our clients keep coming back: they know we don't waste their time, and they know we tell them the truth.
We Don't Start
With a Proposal.
Before we talk about services, we figure out together whether you need one. That's the whole point of the first two steps.
Discovery Call
We ask to understand of your AI — what it does, what it touches, and who relies on it. No pitch. Just understanding.
AI Security Qualification
We might offer a free probing to determine whether there's enough security risk in your app to justify a deeper engagement — before you spend a dollar.
Two Possible Outcomes
Either way, you get a straight answer.
You are doing it right
We just confirm. No proposal. No pressure. You go back to shipping, and you know exactly why we passed.
Meaningful findings
We present the evidence first. Then we discuss next steps together — only if you decide it's worth it.
We won't waste your engineering team's time if there's nothing to fix.
If we don't identify meaningful AI security risks, we'll tell you. If we do, we'll show you the evidence so you can decide for yourself whether a deeper assessment is worthwhile.
You May Not Need Us If...
We'll tell you honestly if another assessment won't create value — even before the discovery call ends.
Your AI application is still an early prototype.
You've recently completed an independent AI security assessment with us.
You already perform continuous AI red teaming internally and we guided you.
Your AI doesn't process sensitive information.
If any of that sounds like you, say so on the call. We'd rather tell you that today than send you a proposal you don't need.
Hybrid AI Security Assessment
When the qualification step surfaces real risk, we combine automated scanning with hands-on assessment experience to determine whether AI risks exist, validate production readiness, and help your engineering team prioritize fixes — purpose-built for growth-stage companies without a dedicated security team.
What's Included Every Cycle
Each monthly engagement covers your full LLM attack surface — from the model interface down to the data layer, agents, and integrations.
- Full OWASP LLM Top 10 + LLMSVS assessment
- Prompt injection & jailbreak campaign testing
- RAG boundary testing & knowledge base poisoning
- AI agent attack surface mapping & hijacking tests
- Insecure tool use & function call abuse testing
- Guardrail bypass & model behavior analysis
- Training data poisoning review (fine-tuned models)
- Full findings report with severity-ranked remediations
Investment
Annual retainer · Monthly billing · Fixed fee
Exact price depends on model count, integration complexity, and agent scope — scoped on the initial 15-min call.
How We Validate
Your AI Systems
Once an engagement is warranted, every assessment follows four phases. Every finding comes with a reproduction path and a fix — evidence first, recommendations second.
Architecture Mapping
We document every model endpoint, integration, agent tool, data pipeline, and trust boundary before a single test runs. No assumptions.
Active Validation
Prompt injection tests, jailbreak sequences, RAG boundary probes, agent hijacking simulations, and tool call abuse — run to confirm what's actually exploitable, not just theoretical.
Technical Report
Every finding includes the exact reproduction path, proof-of-concept, CVSS-based severity score, and step-by-step remediation. Evidence first, recommendations second.
Debrief & Retest
Live debrief call with your engineering team. One free retest cycle for critical findings. Confirm fixes before the next sprint ships.
From qualification to full evidence report in 30 days.
Here's exactly what happens if the qualification step surfaces something worth acting on.
Discovery & Qualification
We ask about your architecture, listen, and confirm honestly whether there's a problem worth solving.
Written Proposal
Only if warranted: within 48 hours you receive a written proposal — scope, deliverables, and a fixed price.
NDA + 50% to Start
We sign an NDA. You pay 50% upfront. We start the following Monday. Weekly sync throughout.
Report in <30 Days
Full password-protected report + debrief call. You pay the remaining 50%. Done.
Starting $3,500/month
20 hours of dedicated LLM security work per month, just for you. Annual commitment with monthly billing. Cancel anytime after the first year.
Exact price depends on model count, integration complexity, and agentic surface area — scoped on the initial call.
NDA + Contract Signed
Everything is confidential from the first technical discussion.
50% on Signed Contract
Work begins the next Monday so both sides can prepare.
50% on Report Delivery
Full findings + remediations in less than 30 days. Pay when it lands.
The only question we're trying to answer on the call
"Does your AI application
actually have a problem worth solving?"
That's it. That's the entire call. Your answers tell us whether there's real risk worth investigating — and whether we can help.
15 minutes. No pitch deck. No obligation. If it's a fit, we'll tell you exactly what we'd assess and what it costs. If it's not, we'll tell you that too.
Determine if Your AI Needs an Assessment
What Happens When
You Get an Honest Answer
Karl T.
Managing Partner, Fintech Company
"We're glad we let the Pentestiverse team show us where we actually stood in production — with clear evidence, not guesswork. Our reputation was genuinely on the line, and they gave us exactly what we needed to fix it. Thank you."
Katriin L.
CTO, AI Startup
"Our internal RAG assistant had access to contracts, HR data, and financial projections. We never considered it a risk surface until Pentestiverse showed us, with evidence, how documents could cross user boundaries. That clarity was worth more than the report itself."