AI/LLM Penetration Testing

Safeguard your intelligent systems with SA Infotech's cutting-edge AI & LLM Penetration Testing. We specialize in identifying prompt injection, data poisoning, and model inversion.

Service Overview

About This Service

As AI and Large Language Models (LLMs) become integrated into core business processes, they introduce entirely new classes of vulnerabilities. At SA Infotech, we are at the forefront of AI security research. Our specialized AI VAPT service focuses on the unique risks of generative AI, including unauthorized data access, malicious prompt manipulation, and poisoning of training datasets. We help you build 'Security by Design' into your AI applications, ensuring they are resilient against both traditional attacks and new, AI-specific threats.

Our Methodology

Prompt Injection & Jailbreaking

Attempting to bypass safety filters and system prompts to force the model to generate restricted content, reveal internal instructions, or execute unauthorized commands.

Training Data Poisoning Audit

Assessing the integrity of the data used to fine-tune or train your models, ensuring that malicious actors haven't introduced biases or backdoors.

Model Inversion & Data Extraction

Testing if an attacker can 'reverse-engineer' the model's training data to extract sensitive information, such as PII or proprietary trade secrets.

OWASP Top 10 for LLMs

Full systematic audit against the OWASP Top 10 for Large Language Model Applications, covering risks like Insecure Output Handling and Indirect Prompt Injection.

Insecure Plugin & Tool Integration

Testing the security of the tools and plugins your AI uses to interact with the real world (e.g., browsing, database access, or API calls).

Adversarial Example Testing

Analyzing how your AI reacts to cleverly crafted inputs designed to cause misclassification or erroneous outputs.

Key Features & Benefits

First-to-Market AI Security: We are one of the few agencies globally with a dedicated research team for Generative AI security.
Custom Jailbreak Research: We develop proprietary techniques to test the robustness of your AI's guardrails beyond standard benchmarks.
Privacy-First AI Audits: Focus on ensuring that your AI implementations comply with GDPR and other data privacy regulations regarding automated processing.
RAG Infrastructure Security: Auditing the security of Retrieval-Augmented Generation (RAG) systems, including vector database security.
AI Red Teaming: Comprehensive simulation of a sophisticated adversary targeting your AI-driven business workflows.

Frequently Asked Questions

What is Prompt Injection and why should I care?

Prompt Injection is when an attacker uses specific inputs to override the AI's intended behavior. This can lead to your AI being used to generate phishing emails, leak company secrets, or even execute code.

Is AI testing different from normal software testing?

Yes. Traditional software is deterministic, while AI is probabilistic. This requires a completely different mindset involving behavioral analysis, adversarial inputs, and ethical guardrail testing.

Do you test local AI models or just cloud-based ones?

We test both. Whether you are using OpenAI's API, a self-hosted Llama-3 instance, or a custom-built neural network, we have the expertise to secure it.

Can you help us build safer AI systems?

Absolutely. Our reports don't just show flaws; we provide architectural guidance on implementing robust guardrails, input sanitization, and output monitoring for your AI applications.

Ready to Secure Your Application?

Request a Quote