Adversarial AI security testing

AI Security Testing with Receipts

We attack the AI your team built — LLM applications, RAG systems, in-house agents — and hand you reproducible evidence your auditor, your board, and your enterprise buyers can all read. No vague findings. Proof you can hand to anyone.

Founded by a TryHackMe Top-10 India offensive researcher with 10+ acknowledged disclosure reports.

The accountability gap

The platforms didn't get here first

Enterprises ship AI agents faster than their security teams can govern them — and the vendors who guard your network don't test the AI you built yourself.

82% / 44%

82% of organizations run AI agents; only 44% have a policy to secure them.

SailPoint — AI Agent Adoption Report, May 2025 (n=353, Dimensional Research)

~70% / 67%

Roughly 70% of enterprises have AI agents in production and 67% build them in-house.

Team8 — CISO Village Survey 2025

46%

46% say enterprise security platforms assume staff and budget they don't have.

Intruder — Middle Child Report

The regulators are watching too: EU AI Act Articles 9, 15 and 55 require testing, robustness and documented adversarial testing for in-scope systems — with penalties up to €15M or 3% of turnover.

The receipts standard

We never claim what we cannot reproduce

Every engagement ends with evidence, not a promise. Here is what a receipt looks like.

01

Reproducible attack inputs

Every scenario ships as an exact input you can copy-paste and run yourself. See the same behavior on your own copy.

02

Captured impact

Logs, screenshots, video and tool-call traces of exactly what happened — time-stamped and stored for your records.

03

Framework-mapped findings

Each finding mapped to OWASP LLM Top 10 (2025), MITRE ATLAS and NIST AI RMF, so your compliance team can act on it directly.

04

A fix path with effort estimates

Prioritized remediation with effort estimates and a re-test that confirms the fix actually holds.

05

A CI regression pack

Findings become automated tests wired into your pipeline, so the issues you fixed stay fixed.

The output is one audit-ready report plus an executive summary that answers buyer questionnaires and speaks the language of the boardroom and SOC 2.

Engagements

Scoped, time-boxed, evidenced every time

Three ways to engage. Price is set by risk and surface, never by the race to the bottom.

AI Security Readiness Sprint

A trust-pack for teams shipping AI: scoped AI-surface inventory, vulnerability scan, AI pentest report, and an executive summary that answers questionnaires.

$8,000–15,000

1 week · 5-day re-test window

Continuous Agent Security

Monthly red-team rounds plus a CI regression suite and an evidence ledger your auditors can read any quarter.

$4,000–8,000/mo

Monthly retainer · pause anytime, prorated

50% deposit to book, 50% on delivery (retainers month-in-advance).

No outcome guarantee — we sell the scoped assessment and its receipts, never a promise of what we'll find. The work is time-boxed and evidenced either way.

Lab evidence, in the open

Read how we test, before you pay for it

We publish our lab findings with full evidence on file — exact inputs, harness, and runtime captured. See a real adversarial run and how the receipts read before you commission anything.

Explore the AI model security research

Names of any tested model families identify copies evaluated in a controlled run and are trademarks of their owners. Arica is not affiliated with or endorsed by those providers; we test local model copies on hardware we control, never a provider's hosted service.

Questions

Frequently asked

What exactly do you test?

LLM applications, RAG systems, and in-house AI agents — the AI surfaces you built and ship. We test the application logic, prompt, tooling and data flows, not your general network infrastructure.

How do you prove what you found?

With receipts: exact attack inputs you can reproduce, captured impact (logs, screenshots, video, tool-call traces), framework mapping, a prioritized fix path, and a re-test confirming the fix holds.

Which frameworks does your report map to?

Every finding is mapped to OWASP LLM Top 10 (2025), MITRE ATLAS and NIST AI RMF, so your compliance and engineering teams can act with a standard they already use.

How long does an engagement take?

A Readiness Sprint is 1 week, a Red Team Assessment is 2–3 weeks, and Continuous Agent Security is a monthly retainer. Deposits book capacity immediately.

Do you run tests against our production systems?

Only under a written authorization you sign first, covering a defined scope. We never touch a system without owner-signed authorization, and we run against your environments or approved mirrors exactly as scoped.

How much does it cost?

Readiness $8,000–15,000, Red Team $18,000–35,000, and Continuous Agent Security $4,000–8,000/month. Pricing is set by risk and surface — never by price competition.

Ship your AI with evidence, not hope

Tell us what you shipped. We'll scope the surface, agree a plan, and get you receipts your next security questionnaire can't argue with.

Email prathamesh@aricatech.com

Prefer a 20-minute call? Ask for availability in your email — we'll send a meeting link.