TactX
Application Security

AI & LLM Security Testing

We attack your AI features the way real adversaries do — before someone else does.

How we work
The problem

Why this matters.

Companies are shipping LLM-powered chatbots, copilots, and automations faster than anyone is securing them. A single crafted prompt can leak system instructions, expose other users' data, or trigger actions the model was never meant to take.

What it is

In plain language.

A hands-on security assessment of your AI features — prompt injection and jailbreak resistance, sensitive data leakage, and excessive agency in tool and API integrations — aligned with the OWASP Top 10 for LLM applications.

Our methodology

Manual, expert-led, aligned to recognized standards.

Every engagement follows the same disciplined process. We don't run a scanner and email you a PDF.

  1. 01

    Map

    Understand the model, system prompts, tools, data sources, and trust boundaries.

  2. 02

    Attack

    Probe with direct and indirect prompt injection, jailbreaks, and data-extraction techniques.

  3. 03

    Chain

    Test what an attacker can reach through the model — tools, APIs, and downstream systems.

  4. 04

    Report

    Ranked findings with concrete attack transcripts and practical mitigations.

  5. 05

    Retest

    Verify your guardrails hold once fixes are in place.

What you get

A report your team will actually use.

The deliverables every TactX testing engagement includes, designed to be acted on by both engineers and executives.

  • Findings mapped to the OWASP Top 10 for LLM applications
  • Attack transcripts for every successful prompt attack
  • Guardrail and system-prompt recommendations
  • Tool and agent permission review
  • Debrief call with the testing team
  • Free retest to confirm guardrails hold