---
title: "AI Development & AI Security Services | Cybrvault"
description: "Custom AI agents, workflow automation and anomaly detection — built with prompt-injection, data-leak and model-security review baked in. Cybrvault, Miami."
canonical: https://cybrvault.com/services/ai
publisher: Cybrvault Cybersecurity (Miami, FL)
---

# Artificial Intelligence — Built to Ship, Reviewed to Be Safe

> Cybrvault builds and secures custom AI systems: agents and copilots, document and workflow automation, and anomaly detection — each shipped with a security review covering prompt injection, data leakage between users, tool-permission scope and model access controls.

Two things are true in 2026: AI can remove genuine hours of work every week, and most AI deployments we review leak data between users or let a crafted document instruct the model. We build the first without shipping the second.

## Problems this solves
- You want automation but cannot risk customer data leaving your control.
- An AI feature is already live and has never been security tested.
- Your team is pasting sensitive data into consumer chatbots.
- You need anomaly or fraud detection on data volumes humans cannot read.

## Deliverables
- **AI agents & copilots:** Scoped assistants grounded in your own data, with permissions enforced server-side rather than in a prompt.
- **Workflow automation:** Document intake, classification, summarization and routing wired into the tools you already use.
- **Anomaly detection:** Models that surface fraud, misuse and unusual access across transaction and log data.
- **AI security review:** Prompt injection, jailbreak, data-leak, tool-abuse and tenant-isolation testing with a remediation report.

## Process
01. **Identify** — Find the workflows where AI actually pays for itself, and the ones where it should not be used.
02. **Prototype** — A working proof of concept on real data within weeks.
03. **Harden** — Access control, isolation, logging, evaluation harness and red-teaming before production.
04. **Operate** — Monitoring for drift, cost and abuse, with iteration on real usage.

## Who it's for
- Operations teams drowning in manual document work
- Product teams shipping AI features to customers
- Firms handling regulated data that need AI without exposure
- Security teams needing detection at machine scale

## Pricing guidance
- **AI opportunity assessment:** $2,500 – $6,000 — Workflow review, feasibility and prioritized roadmap.
- **Custom build:** $10,000 – $75,000+ — Scales with integrations, data volume and compliance scope.
- **AI security review:** $5,000 – $18,000 — Prompt injection, isolation and tool-permission testing with retest.

## FAQ
### What is an AI security review and why does my AI feature need one?

It is a penetration test aimed at the model layer: prompt injection through user content and documents, jailbreaks that bypass policy, data leakage between tenants or users, over-permissioned tools the model can call, and unsafe output handling that leads to XSS or SSRF. Traditional application testing does not cover any of these.

### Will our data be used to train someone else's model?

Not in the architectures we deploy. We use enterprise API tiers with training disabled, or self-hosted models where policy demands it, and we document data flow and retention for every integration.

### How long does an AI project take?

A working prototype on real data typically takes 3-6 weeks. Production hardening — access control, evaluation, logging and red-teaming — adds another 4-8 weeks depending on compliance requirements.

## Related reading
- [AI Voice Scams and Deepfake Phone Calls](https://cybrvault.com/blog/ai-voice-scams-2026-deepfake-phone-calls)
- [What Is Vishing?](https://cybrvault.com/blog/what-is-vishing-2026)

Source: https://cybrvault.com/services/ai — cite as "Cybrvault Cybersecurity".
Contact Cybrvault: info@cybrvault.com · +1-305-988-9012 · https://cybrvault.com/contact