What is included in LLM Security & Prompt Injection Audit
Every engagement covers these core deliverables. No hidden add-ons, no scope creep surprises.
Direct & Indirect Prompt Injection Red-Teaming Attacks
SLA-backed engineering implementation of direct & indirect prompt injection red-teaming attacks tailored to your system architecture.
System Prompt Extraction & Jailbreak Risk Assessment
SLA-backed engineering implementation of system prompt extraction & jailbreak risk assessment tailored to your system architecture.
Agent Tool Hijacking & Privilege Escalation Audit
SLA-backed engineering implementation of agent tool hijacking & privilege escalation audit tailored to your system architecture.
Data Exfiltration & Cross-Tenant Leakage Verification
SLA-backed engineering implementation of data exfiltration & cross-tenant leakage verification tailored to your system architecture.
NeMo Guardrails & Llama Guard Integration Setup
SLA-backed engineering implementation of nemo guardrails & llama guard integration setup tailored to your system architecture.
OWASP Top 10 for LLM Applications Benchmark Review
SLA-backed engineering implementation of owasp top 10 for llm applications benchmark review tailored to your system architecture.
From kickoff to delivery
A repeatable, transparent process we have refined across 200+ projects. No guesswork on your side.
Threat Modeling
Adversarial Red-Teaming
Guardrail Architecture
Verification Report
Ready to build your LLM Security & Prompt Injection Audit project?
A free 30-minute call. We review your requirements, identify risks early, and give you an honest assessment of what it takes to ship this right.
What We Solve in LLM Security & Prompt Injection Audit
Attackers using clever prompt tricks to force the LLM to reveal proprietary system instructions.
System prompt hardening and pre-inference prompt sanitization filters.
Indirect prompt injection where malicious text inside PDFs or web pages hijacks AI agent tools.
Document parsing sanitization and secondary tool call verification guardrails.
Model outputting sensitive user data or toxic content during multi-turn chats.
Real-time output guardrail integration (NeMo Guardrails / Llama Guard).
Expert Guidance on LLM Security & Prompt Injection Audit
What is indirect prompt injection?
Indirect prompt injection occurs when an attacker hides malicious instructions inside a PDF or web page that the AI agent later parses, tricking the agent into executing bad commands.
How do guardrails protect LLM applications?
Guardrails act as a real-time firewall, checking user prompts before they reach the model and verifying model answers before sending them to the user.
Ready to deploy production-grade LLM Security & Prompt Injection Audit?
Talk directly with our senior software architects. No sales fluff, just clear engineering blueprints, cost estimates, and rapid execution.