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Security for the AI Era
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SCOPED APPLICATION ASSESSMENT • LLM PENETRATION TESTING

LLM Penetration Testing &
AppSec Vulnerability Assessment.

Rigorous security testing for production LLM interfaces, copilots, chatbots, and generative AI APIs. We test prompt injection boundaries, guardrail bypass techniques, insecure function calling, and RAG data exfiltration to provide engineering teams with actionable, reproducible findings.

Penetration Testing vs. AI Red Teaming:

While our AI Red Teaming executes open-ended, multi-turn campaigns across the entire system, LLM Penetration Testing provides a tightly scoped, time-boxed audit focused on specific LLM applications, API endpoints, and guardrail layers prior to release.

Scope LLM Penetration Test →Compare Full-Scope AI Red Teaming
Testing Scope

What We Test in an LLM Penetration Test

Structured testing aligned with OWASP Top 10 for LLM Applications (2025/2026):

LLM-01

Direct Prompt Injection

Testing token smuggling, payload splitting, multi-language bypasses, and instruction overrides on user input fields.

LLM-02

Indirect Injection in RAG

Embedding adversarial payloads inside retrieved documents, uploaded files (PDF, DOCX), and database records.

LLM-03

System Prompt Extraction

Attempting to leak proprietary system instructions, internal developer notes, and embedded formatting templates.

LLM-04

Guardrail & Filter Evasion

Evaluating whether input/output guardrails (e.g. NeMo, Llama Guard, custom regex) can be circumvented.

LLM-05

Insecure Function & Tool Calling

Manipulating LLM tool invocation parameters to trigger unauthorized database modifications, SSRF, or data retrieval.

LLM-06

API Authentication & Rate Abuse

Testing token consumption abuse, denial of wallet vectors, session fixation, and API authorization checks.

Deliverables

Clear, Reproducible Findings

Every finding includes raw request/response transcripts, exact exploit replay payloads, CVSS-AI scoring, and verified developer remediation code:

1Detailed Vulnerability Report with Reproducible Proof-of-Concept Scripts
2Developer Remediation Guide with Code Snippets & Guardrail Configurations
3Complimentary 45-Day Retest to Verify Deployed Mitigations

Commercial Parameters

Typical Duration:1 to 2 Weeks
Standard Investment:$10,000 – $25,000
Founding Client Deal (1/3):$3,300 – $8,300
Scope LLM Penetration Test →
Reference Technical Lab

Lab 001: RAG Prompt Injection & Vector Defense Guide

Learn how indirect prompt injection exploits work in retrieval pipelines and review verified Python mitigation code.

Read Lab 001 →
Interactive Scope & Pricing Estimator

Scope Your AI Security Engagement

Configure your production AI architecture to calculate recommended testing depth, duration, and Founding Deal pricing.

⚡ 1/3 Price for First 5 Clients
3. High-Risk Integration Factors
RECOMMENDED ENGAGEMENT:Navira Security AI Red Teaming + Agentic IAM
Est. Duration: 3 to 4 Weeks

Scope Focus: Full-Stack Adversarial Testing, MCP Schema Audit, Delegated IAM Boundaries & 45-Day Retest.

Standard Scope Price:$25,000 – $50,000
⚡ Founding Client Deal (1/3 Price):$8,300 – $16,500 (1/3 Price)
Included: ✓ 45-Day Retest Guarantee2 of 5 Founding Spots Remaining

Confidential intake. Protected under Navira Security Standard Mutual NDA. Direct communication with [email protected].