What is the pricing for LLM Security Testing?

LLM Security Testing is a commercial Services solution. For detailed pricing information, visit https://artificesecurity.com/llm-security-testing/ or contact Artifice Security directly. View more details at https://cybersectools.com/tools/llm-security-testing

What are alternatives to LLM Security Testing?

Popular alternatives to LLM Security Testing include: 1. Packet33 - Penetration testing & compliance advisory services for SaaS & healthcare. (Commercial) 2. Siemba Penetration Testing as a Service (PTaaS) - Continuous, on-demand penetration testing service with platform-based mgmt. (Commercial) 3. DeepStrike Penetration Testing - Manual penetration testing service simulating real-world attacks (Commercial) 4. DeepStrike Cloud Penetration Testing Services - Cloud penetration testing services for AWS, Azure, and GCP environments (Commercial) 5. DeepStrike Mobile Application Penetration Testing - Mobile app penetration testing service for iOS and Android applications (Commercial) Compare these tools and more at https://cybersectools.com/categories/cybersecurity-services

Who should use LLM Security Testing?

LLM Security Testing is for security teams and organizations that need AI Security, Large Language Models, RAG, Penetration Testing, Security Testing. It's particularly suitable for enterprises requiring robust, commercial-grade security capabilities. Other Services tools can be found at https://cybersectools.com/categories/cybersecurity-services

LLM Security Testing

by Artifice Security

Pentest service for LLM apps, RAG systems, and AI agents.

Services Commercial

Visit website

LLM Security Testing

by Artifice Security

Pentest service for LLM apps, RAG systems, and AI agents.

Services•Penetration Testing Services

Commercial

Ai Security Large Language Models Rag

Visit Website

Updated 06 Mar 26

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LLM Security Testing Description

LLM Security Testing by Artifice Security is a penetration testing service focused on identifying security vulnerabilities in LLM-powered applications, specifically RAG (Retrieval-Augmented Generation) systems and AI agents. The service evaluates how LLM-enabled features behave under adversarial input and hostile data conditions. Testing covers the full AI system stack: prompts and guardrails, memory and session state, retrieval sources, tool and API integrations, and authorization controls. **Key Testing Areas:** **Prompt Injection:** Tests both direct chat-based injection and indirect injection, where attacker instructions are planted in content retrieved by the model (e.g., knowledge base articles, PDFs, tickets, web pages). **Sensitive Data Leakage:** Attempts to force cross-user or cross-tenant data exposure, extract system prompts, and surface sensitive fields that should be masked or access-controlled through retrieval and memory mechanisms. **Tool and API Abuse:** For AI agents, validates whether tools enforce authorization independently of the model, whether parameters are constrained, and whether high-risk actions require explicit user confirmation. **Authorization and Tenant Boundaries:** Tests whether low-privilege users can access high-privilege data or actions through the AI feature, validating controls at the data and tool layers rather than just the UI. **Insecure Output Handling:** Traces where model output is consumed and attempts to convert generated text into XSS, SSRF, injection, or other downstream vulnerabilities. **Unbounded Consumption:** Evaluates rate limits, token and tool budgets, caching, timeouts, and abuse detection to assess resilience against cost and denial-of-service attacks. Engagements produce reproducible evidence, a prioritized remediation plan, and an optional retest to verify fixes.

LLM Security Testing Description

LLM Security Testing FAQ

Common questions about LLM Security Testing including features, pricing, alternatives, and user reviews.

LLM Security Testing is Pentest service for LLM apps, RAG systems, and AI agents. developed by Artifice Security. It is a Services solution designed to help security teams with AI Security, Large Language Models, RAG.

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