AI LLM Penetration Testing

CQR Company conducts deep offensive security testing against AI models, exposing jailbreaks, prompt injections, data leakage, and tool-call abuse — across AI assistants, chatbots, RAG pipelines, and autonomous AI agents.

Designed for:

AI Assistants & Chatbots
LLM APIs & System Prompts
RAG Pipelines & Memory Chains
LangChain / Function-Calling Agents
and other…

Deliverables

What We Deliver

Full-spectrum LLM testing: real-world exploits, automation, and red team simulation to ensure resilience.

Prompt Injection Stress Testing

Tests model defenses using obfuscated prompts and multilingual adversarial inputs.

Jailbreak Chain Simulations

Simulates filter bypass through roleplay, recursion, and deceptive prompt sequences.

Model Abuse & Hallucination Audits

Detects biased, false, or harmful outputs under controlled testing conditions.

Training Data Extraction

Attempts to reveal memorized or sensitive data from the model’s training set.

Function Injection

Tests for unauthorized API calls via manipulated parameters and crafted JSON payloads.

Autonomous Offensive Modules

Uses PyRIT and AutoPentest for automated attacks and evolutionary fuzzing.

Realized

What CQR’s AI Pentest Covers

Full Offensive Coverage for Your AI Stack

Attack Surface

What We Do

AI Data Extraction

Echo pretraining data via divergence prompts

AI Prompt Injection

Bypass input filters using direct/indirect payloads

AI Jailbreak Simulation

Test resistance to DAN, role-play, hypotheticals

AI Tool Injection

Hijack function-calling & autonomous agents

AI Hallucination Testing

Abuse false answers to escalate trust attacks

Autonomous AI Pentesting

Use AI agents (PyRIT, AutoPentest) to simulate threat loops

Process

How we Operate?

Full Offensive Coverage for Your AI Stack

Scoping & Recon

1

Corpus Generation

2

Simulated Exploitation

3

Red Team Deep Dive

4

Report & Proof Package

5

Retesting & Validation

6

Industries

Who Needs LLM Penetration Testing

Whether you’re deploying LLMs into products or using them internally, real-world offensive testing helps you prevent prompt-based exploits, jailbreaks, and data leaks — before attackers do.

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