LLM Application Security Assessment

LLM Risks Traditional Testing Misses

Most application security programs were not built with LLMs in mind. Prompt injection, insecure output handling, and context manipulation live in the integration layer between your application and the model, invisible to traditional scanners and outside the scope of standard penetration tests.

Expose Hidden LLM Application Risks

Our LLM Application Security Assessment tests that layer directly. Whether you have shipped a customer-facing chatbot, an internal copilot, a content generator, or an AI-powered workflow, we identify what your existing testing is missing and what an attacker would find first.

What We Test

Prompt Injection - Direct and indirect injection attacks against system prompts, including multi-step and context-window manipulation.
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Data Leakage - Testing whether the LLM exposes training data, system prompts, internal context, or sensitive user data across sessions.

Insecure Output Handling - XSS, SSRF, command injection, and other traditional vulnerabilities via LLM-generated output that’s rendered or executed.

• Cross-site scripting (XSS) via model output
• Server-side request forgery (SSRF) through generated content
• Command injection via LLM-produced code or instructions
• SQL injection and other injection flaws in generated queries

Authentication & Authorization Bypass - Exploiting the LLM to access functions, data, or API calls beyond the user’s intended permissions.

‍Excessive Agency - Evaluating what the LLM can do (tool calls, database writes, API access) versus what it should be able to do.

‍Rate Limiting & Abuse - Denial-of-wallet, resource exhaustion, and token consumption attacks.

Deliverables

• Executive summary with risk narrative for security leadership and stakeholders
• Detailed finding report with severity ratings, reproduction steps, and remediation guidance
• System prompt and guardrail evaluation with specific weakness and recommended controls
• Architecture recommendations for defense-in-depth LLM integration

References: OWASP Top 10 for LLM Applications, MITRE ATLAS