LLM Security

LLM Security Audit & Threat Modeling

Stress-test your LLM application before users and attackers do, with practical threat modeling and remediation guidance for real production systems.

Threat model for prompts, tools, retrieval, data boundaries, and user permissions

Prompt injection and data exfiltration test cases matched to your application

Remediation plan for guardrails, output validation, monitoring, and access controls

Scope

What the LLM security audit covers

LLM security audits for AI applications covering prompt injection, data exfiltration, tool misuse, RAG poisoning, output validation, access control, and OWASP Top 10 for LLMs risks.

Prompt injection, indirect prompt injection, jailbreak paths, and instruction hierarchy

Tool calling permissions, agent action boundaries, and confused-deputy risks

RAG poisoning, retrieval leakage, source trust, and document-level authorization

Sensitive data exposure, logging, retention, and provider boundary review

Output validation, policy enforcement, abuse monitoring, and escalation paths

OWASP Top 10 for LLMs mapping and prioritized remediation

Deliverables

  • LLM threat model
  • Security findings report
  • Prompt injection test plan
  • Remediation roadmap

Engagement Flow

  1. 1

    Scope the AI feature, users, permissions, tools, and data sources

  2. 2

    Review prompts, retrieval, tool calls, logs, and security boundaries

  3. 3

    Run targeted abuse and prompt injection tests

  4. 4

    Deliver findings and help prioritize remediation

Risk Signals

Common LLM security problems

Retrieval systems that expose documents without enforcing user authorization

Agents with tools that can act across tenant or privilege boundaries

Prompt injection protections that only rely on wording inside the system prompt

Logs or traces that quietly retain sensitive user or business data

Questions Teams Ask

Short answers before the discovery call.

Do you follow OWASP Top 10 for LLMs?

Yes. OWASP Top 10 for LLMs is used as a practical reference, but the review is adapted to the actual architecture, data flows, and threat model.

Can you test agentic systems?

Yes. Tool-calling and agent workflows are a core part of the review because they create the highest-impact failure modes.

Will this produce a penetration-test style report?

The output is a security findings report with reproduction notes, risk ranking, and remediation guidance. It can be shaped for internal security review or engineering execution.

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