LLM Security & Prompt Injection Testing

Secure Large Language Models

Specialized security testing for LLM applications including prompt injection, jailbreaking, and LLM specific vulnerabilities. We test GPT, Claude, and custom LLM implementations.

AILLMSecurity

What's Included

Comprehensive service features designed to meet your security and development needs.

Prompt Injection Testing

Test for direct and indirect prompt injection attacks that bypass safety controls.

Jailbreak Detection

Identify methods to bypass content filters and safety guardrails.

Data Leakage Testing

Test for training data extraction and sensitive information disclosure.

RAG Security

Audit retrieval augmented generation systems for injection and manipulation.

Key Benefits

Why organizations choose this service

Prevent prompt injection attacks

Protect sensitive data in LLM systems

Ensure content safety and compliance

Build trust in AI products

LLM Security Testing Process

Our proven methodology for delivering llm security & prompt injection testing

1
01

LLM Application Profiling

Understand LLM architecture, identify model providers (GPT, Claude, custom), map prompt flows, analyze RAG implementations, document tool calling mechanisms, and review system prompts.

2
02

Direct Prompt Injection Testing

Test for prompt injection attacks through user input, attempt to override system instructions, bypass content filters, inject malicious instructions, and manipulate model behavior.

3
03

Indirect Prompt Injection & RAG Attacks

Test indirect injection through external data sources, exploit RAG document poisoning, manipulate retrieval contexts, test vector database security, and assess document upload vulnerabilities.

4
04

Jailbreaking & Safety Bypass Testing

Attempt to bypass safety guardrails, test content moderation effectiveness, identify jailbreak techniques, assess ethical AI controls, and evaluate harmful content generation prevention.

5
05

Data Leakage & Privacy Testing

Test for training data extraction, attempt to leak system prompts, assess PII exposure risks, test for memorization of sensitive data, and evaluate data retention policies.

6
06

LLM Tool Calling & Plugin Security

Test function calling security, assess tool access controls, validate parameter injection protection, test plugin authorization, and evaluate tool chaining risks.

7
07

Reporting & LLM Security Hardening

Deliver comprehensive LLM security report with OWASP LLM Top 10 mapping, provide prompt engineering security guidance, input validation recommendations, and content moderation strategies.

Ready to Get Started?

Contact us today to discuss your llm security & prompt injection testing needs and receive a custom proposal.