Your AI Product Ships Fast. Is It Secure?

AI startups face attack surfaces that traditional security testing was never designed for. We test LLM-powered applications, AI agents, prompt injection resistance, and the vibe-coded infrastructure underneath it all.

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Threat Landscape

Why This Industry Is Targeted

The sectors and verticals we protect in this space.

LLM-Powered Applications AI Agent Platforms AI Infrastructure & MLOps AI-Enhanced SaaS Computer Vision & Robotics

AI startups are building products with novel attack surfaces that the security industry is still catching up to. LLM-powered applications are vulnerable to prompt injection, jailbreaking, and data extraction attacks that bypass traditional input validation. AI agents with tool access, API keys, and database credentials create privilege escalation paths that did not exist 18 months ago. The rapid development pace - often using AI coding tools like Cursor, Copilot, and Claude to build the product itself - compounds the risk with vibe-coded infrastructure that may contain hardcoded secrets, broken authentication, and insecure defaults. Meanwhile, enterprise buyers evaluating AI products are increasingly requiring evidence of security testing before procurement, making a pentest a revenue enabler rather than just a risk mitigation exercise.

Our Services

Recommended Security Engagements

Tailored testing scoped for your industry's specific risk profile.

AI Agent Penetration Testing

Test your agents for prompt injection, tool abuse, and privilege escalation.

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Web Application Penetration Testing

Your AI product still runs on a web application with traditional attack surfaces.

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API Penetration Testing

AI products are API-heavy. Test your inference endpoints, webhooks, and integrations.

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Vibe Coding Security Reviews

If your product was built with AI coding tools, verify the code is secure.

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SOC 2 Penetration Testing

Enterprise AI buyers expect SOC 2 compliance. Get audit-ready reports.

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Security Code Reviews

Find logic flaws in your AI pipeline, data handling, and authentication code.

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Why Us

Why Lorikeet Security

What sets us apart for this industry.

Specialized testing for LLM applications, AI agents, and prompt injection attack vectors

Experience reviewing AI-generated codebases built with Cursor, Copilot, and Claude

Reports designed to satisfy enterprise buyers, SOC 2 auditors, and investor due diligence

Real-time client portal with live findings, compliance-ready PDF reports, and free retesting after remediation.

Partner network with SOC 2, ISO 27001, and CMMC audit firms for end-to-end compliance support.

FAQ

Frequently Asked Questions

What is prompt injection and should we worry about it?

Prompt injection is an attack where malicious input manipulates your LLM into ignoring its system prompt and following attacker instructions instead. If your AI product processes any user input, you are potentially vulnerable. We test for direct injection, indirect injection via retrieved content, and multi-step attacks that chain prompt manipulation with tool access.

We built our product with Cursor/Copilot. Is that a security risk?

AI coding tools generate functional code fast but consistently produce insecure patterns - hardcoded credentials, missing authorization checks, verbose error messages, and insecure defaults. Our vibe coding reviews are specifically designed to catch what LLMs get wrong.

Do AI agents need different security testing than regular apps?

Yes. AI agents introduce attack surfaces that traditional pentesting does not cover - tool call authorization, credential exposure in agent context, autonomous decision-making boundaries, and the ability to chain actions in ways the developer never intended. We test the agent itself, its tool integrations, and the boundaries of what it can do.

When should an AI startup get a security assessment?

Before your first enterprise customer, before your SOC 2 audit, or before any fundraise where investors will ask about security. If your AI product handles customer data, has tool access to external systems, or processes sensitive information, you should be testing now.

Can you test our AI product without breaking it?

We always coordinate testing scope and boundaries with your engineering team. For AI products, we use controlled test inputs, sandboxed environments when available, and escalation procedures for any unexpected behavior. We will never run destructive tests against production AI systems without explicit authorization.

Ready to Secure Your Organization?

Book a free consultation to discuss your security requirements, compliance needs, and how we can help protect your business.

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