Get my agent

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
Ch. 01The problem

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.

Ch. 02What we build

  • 01

    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.

  • 02

    Agent permission review

    Every tool, credential and scope your agents hold, mapped against what they actually need. Least privilege, enforced.

  • 03

    RAG & data-leak testing

    Can a user retrieve documents they shouldn't? Can a poisoned document steer answers? We find out.

  • 04

    Guardrails & regression evals

    Input/output filters, policy checks and an attack eval suite that runs on every release, so fixed stays fixed.

Ch. 03What you get

  1. 01Threat model of your AI system mapped to the OWASP Top 10 for LLM applications
  2. 02Authorized, scoped red-team engagement with reproducible findings
  3. 03Prioritized report: severity, proof, fix, and owner
  4. 04Hardening: permissions, isolation, output handling, guardrails
  5. 05Attack regression suite wired into your CI
Stack
  • OWASP LLM Top 10
  • MITRE ATLAS
  • Garak
  • PyRIT
  • Promptfoo
  • Guardrails
  • Sandboxing
  • MCP security

Your competitor's agent is working right now.

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Ch. 04FAQ

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.

Ch. 05Now

Tell us the pain. We answer in one business day.

  • ✓Reply in 1 business day
  • ✓Fixed price before we start
  • ✓NDA on request