# Your agent has keys. Who else does?

> Security testing for LLM apps and AI agents: prompt injection, data leakage, excessive agency, insecure tool use. OWASP Top 10 for LLM applications, red teaming and guardrails that hold.

URL: https://ai.arcvs.tech/en/services/ai-security · Português: https://ai.arcvs.tech/pt/servicos/seguranca-de-ia.md · ARCVS AI: https://ai.arcvs.tech/en.md

An agent that can read email, query databases and call APIs is a new attack surface. We red-team your LLM apps and agents the way an attacker would, then fix what we find: permissions, guardrails, isolation and evals that keep it fixed.

- **Week 1**: Prototype on your data
- **Day 30**: Production pilot
- **100%**: Yours: code & weights

## Prompt injection is the new SQL injection.

Any text an agent reads (a web page, an email, a PDF, a ticket) can carry instructions. Combine that with tool access and you get data exfiltration, unauthorized actions and leaked system prompts. Most teams ship agents without ever testing for it.

## What we build

- **LLM app & agent red teaming**: Direct and indirect prompt injection, jailbreaks, system-prompt extraction, tool abuse and cross-tenant leakage, tested against your real deployment.
- **Agent permission review**: Every tool, credential and scope your agents hold, mapped against what they actually need. Least privilege, enforced.
- **RAG & data-leak testing**: Can a user retrieve documents they shouldn't? Can a poisoned document steer answers? We find out.
- **Guardrails & regression evals**: Input/output filters, policy checks and an attack eval suite that runs on every release, so fixed stays fixed.

## What you get

- Threat model of your AI system mapped to the OWASP Top 10 for LLM applications
- Authorized, scoped red-team engagement with reproducible findings
- Prioritized report: severity, proof, fix, and owner
- Hardening: permissions, isolation, output handling, guardrails
- Attack regression suite wired into your CI

## Stack

OWASP LLM Top 10, MITRE ATLAS, Garak, PyRIT, Promptfoo, Guardrails, Sandboxing, MCP security

## FAQ

### Is this a pentest?

It's a focused, authorized security assessment of your AI layer: models, prompts, retrieval, tools and agent permissions. We can combine it with a classic web/API assessment.

### Do you need production access?

We prefer a staging copy with realistic data and tools. Every engagement is scoped and authorized in writing before testing starts.

### Can prompt injection be fully prevented?

Not with filters alone. The durable fixes are architectural: least-privilege tools, isolation of untrusted content, human approval on sensitive actions and monitoring. We design for that.

### We built our agent with a vendor platform. Can you still test it?

Yes. We test the deployed behavior and configuration, whatever framework or platform sits underneath.

## Other capabilities

- [AI agents](https://ai.arcvs.tech/en/services/ai-agents): Agents that use your tools, follow your rules and finish real tasks end to end.
- [Agentic orchestration](https://ai.arcvs.tech/en/services/multi-agent-orchestration): Planner, workers and reviewers that run in parallel, with one owner of state and a full audit trail.
- [Model training & fine-tuning](https://ai.arcvs.tech/en/services/llm-fine-tuning): Fine-tuned and distilled models that win on your task, run cheaper, and belong to you.
- [RAG & knowledge systems](https://ai.arcvs.tech/en/services/rag-knowledge-systems): Search and answers over your company data, with citations, permissions and measured accuracy.
- [AI automation](https://ai.arcvs.tech/en/services/ai-automation): Workflows where AI reads, classifies and decides, and code does the rest. Measured in hours reclaimed.
- [Private & on-prem AI](https://ai.arcvs.tech/en/services/private-ai): Open-weight models on your cloud or hardware. Your prompts and documents never leave your perimeter.
- [OSINT & security audits](https://ai.arcvs.tech/en/services/osint-security-audits): Your exposure, seen from outside: breaches, leaks, forgotten assets, CVEs. Then authorized testing and fixes.

## Contact

- WhatsApp: +5532999143361 (https://wa.me/5532999143361)
- Telegram: @w1ldcrow (https://t.me/w1ldcrow)
- Email: contact@arcvs.tech
- Contact section: https://ai.arcvs.tech/en#contact
- Parent studio: https://www.arcvs.tech