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AI Agent Penetration Testing

Security assessment of AI agents, LLM integrations, and autonomous systems

1-2 weeks Starting at $9,500
AI Agent Assessment 9 FINDINGS
CRITICAL Prompt injection bypasses system guardrails
CRITICAL Agent executes arbitrary tool calls without auth
HIGH API keys stored in agent memory context
HIGH Agent output rendered without sanitization
MEDIUM Excessive DB permissions on agent connections
Overview

What This Engagement Covers

A comprehensive assessment tailored to your environment.

AI agents and LLM-powered applications introduce novel attack surfaces including prompt injection, tool misuse, data exfiltration through model outputs, and privilege escalation via autonomous actions. Our AI agent penetration testing identifies vulnerabilities unique to agentic systems before they reach production.

Our Process

What We Test & How

What We Test

We assess AI agents, LLM-powered applications, RAG pipelines, tool-calling implementations, multi-agent systems, and autonomous workflows. Testing covers prompt injection (direct and indirect), tool and function call abuse, data leakage through model outputs, guardrail bypasses, privilege escalation through agent actions, and supply chain risks from plugins and integrations.

Our Approach

Our testers combine deep LLM security expertise with traditional penetration testing methodology. We test your AI agent's system prompts, tool definitions, guardrails, output filters, and access controls. We evaluate agentic workflows for permission boundaries, assess RAG poisoning risks, and test for data exfiltration through side channels. Every finding includes proof-of-concept and tailored remediation guidance.

Deliverables

What You'll Receive

Everything included in your engagement report.

AI agent security assessment report

Prompt injection vulnerability analysis

Tool and function call abuse findings

Guardrail bypass documentation

Data leakage risk assessment

OWASP Top 10 for LLM mapping

Agentic permission boundary analysis

Remediation and hardening guidance

Methodology

Our Testing Methodology

A structured approach to identifying and validating vulnerabilities.

1

AI agent architecture review and threat modeling

2

Direct and indirect prompt injection testing

3

Tool and function call abuse testing

4

RAG pipeline poisoning assessment

5

Guardrail and output filter bypass testing

6

Multi-agent privilege escalation testing

7

Data exfiltration and leakage analysis

8

Supply chain and plugin security review

Findings

Common Vulnerabilities We Find

Typical security issues discovered during this type of engagement.

Prompt Injection Leading to Tool Misuse Insufficient Permission Boundaries on Agent Actions Data Exfiltration Through Model Outputs Guardrail Bypass via Encoding or Jailbreaks RAG Poisoning Through Untrusted Data Sources Excessive Permissions on Tool Integrations Missing Rate Limiting on Agent Interactions System Prompt Leakage
Who It's For

Ideal For

Companies Deploying AI Agents in Production
SaaS Platforms with LLM Integrations
Enterprises Building Agentic Workflows
AI Startups with Tool-Calling Agents
Organizations Using RAG Pipelines
Companies Offering AI-Powered Customer Interactions
Compliance

Standards We Support

OWASP Top 10 for LLM NIST AI RMF ISO 42001 EU AI Act

Ready to Get Started?

$9,500

Typical engagement: 1-2 weeks

Why Us

Why Lorikeet Security

Certified Experts

OSCP, OSCE, CEH, GPEN certified professionals

Auditor Ready

Reports designed for compliance audits

Free Retesting

Validate fixes at no additional cost

Expert Support

Direct access to testing team during remediation

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