# AI / LLM Security Testing

> Prompt injection, jailbreaks, agentic abuse & model supply chain - our core focus.

AI is our primary offensive security specialization. We test LLM-powered apps, RAG pipelines and autonomous agents for prompt injection, jailbreaks, sensitive-data leakage, insecure tool/agent use and model supply-chain risk - mapped to the OWASP Top 10 for LLM Applications and MITRE ATLAS. It's the deepest bench of our practice, alongside full-spectrum VAPT, red teaming, API, cloud, mobile and network security.

## Outcomes

- Prompt injection and jailbreak testing across text, tool-call and multimodal inputs
- Sensitive-data leakage, output handling and RAG retrieval-boundary testing
- Insecure tool/agent, plugin and multi-agent orchestration abuse
- Model supply-chain, fine-tuning and guardrail review

## Process

01. **Map** - Understand the model, system prompts, tools, agents and data flows.
02. **Attack** - Injection, jailbreak, leakage, agent-abuse and adversarial-input testing.
03. **Assess** - Guardrails, tool permissions, RAG boundaries and supply chain.
04. **Report** - Findings mapped to OWASP LLM Top 10 and MITRE ATLAS, with fixes.

## Deliverables

- AI/LLM security report
- OWASP LLM Top 10 & MITRE ATLAS mapping
- Guardrail & agent-permission recommendations
- Re-test

## Standards

OWASP Top 10 for LLM Apps, MITRE ATLAS, NIST AI RMF


## Overview

Integrating LLMs and AI agents introduces unique attack vectors, including prompt injection, jailbreaks, data poisoning, and insecure output handling.

We test AI systems against the OWASP Top 10 for LLM Applications. We simulate adversarial injection attempts to bypass safety guardrails and hijack connected APIs.


## What we cover

### Prompt Injection Attacks
Attempting direct and indirect injections to override system instructions and hijack outputs.

### Safety Guardrail Bypasses
Probing models with jailbreaks and adversarial tokens to bypass safety filters.

### Agent Tool Abuse
Evaluating if connected API tools can be coerced into unauthorized writes, deletes, or access.

### RAG Pipeline Leakage
Testing if user prompts can extract unauthorized documents through RAG query tampering.


## FAQ

**Do you test AI agents and RAG apps?**
Yes - including tool-using agents, RAG pipelines and multi-step workflows where injection and data-leakage risks compound.

**Is this your main focus?**
Yes - AI/LLM security is our specialization. We still cover the full offensive spectrum (VAPT, red team, API, cloud, mobile, network) but AI-driven systems are where our deepest expertise sits.

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