Professional Cyber Security Services
White Knight Labs assesses AI-enabled web applications for vulnerabilities such as prompt injection, insecure AI outputs, exposed API keys, and AI-specific business logic flaws — combining traditional penetration testing with AI security testing in a single assessment.
AI features bolted onto a web application don’t remove the traditional web application attack surface — they add a new one on top of it. An AI-enabled web app can be vulnerable to the same SQL injection, broken authentication, and business logic flaws as any other application, plus a new class of AI-specific risks: prompt injection through user input, insecure handling of model outputs, and exposed API keys for the underlying LLM provider. White Knight Labs’ Web Application AI Implementation Assessment tests both layers in a single, coordinated engagement.
This matters because AI-specific vulnerabilities often interact with traditional ones. A prompt injection vulnerability that lets an attacker manipulate an AI feature’s output becomes far more dangerous if that output is later used to construct a database query or rendered without sanitization — a business logic flaw that spans both worlds.
We test whether user-controllable input can manipulate the AI feature’s behavior, including through indirect injection via uploaded files, retrieved content, or third-party data sources.
We assess how model outputs are handled downstream — whether they’re rendered, executed, or used to construct further application logic without proper validation.
We look for LLM provider API keys, tokens, and other AI-related credentials exposed through client-side code, misconfigured endpoints, or insecure storage.
We evaluate whether AI features can be manipulated to bypass rate limits, pricing logic, content restrictions, or other business rules the application depends on.
We conduct standard web application penetration testing across the rest of the application, since AI features rarely exist in isolation from conventional attack surface.
White Knight Labs pairs our established web application penetration testing methodology with AI-specific adversarial testing techniques, run by the same engagement team so findings that span both layers are identified and correlated rather than missed in the gap between two separate assessments.
We test AI features in the context of how they’re actually integrated into your application — the surrounding authentication, data flow, and business logic — rather than testing the AI model in isolation, since real-world exploitability almost always depends on that integration.
Most organizations shipping AI features are moving fast, often integrating third-party LLM APIs into existing applications without a dedicated security review of the new attack surface that introduces. This assessment closes that gap, testing your AI implementation with the same rigor as the rest of your application.
This engagement is especially valuable before launching a new AI feature, after integrating a third-party LLM provider, or as part of a broader security review of an application that has grown AI capabilities over time.
We map how AI features are integrated into the broader application, including data flow, API calls, and dependent business logic.
We test for prompt injection, insecure output handling, and AI-specific business logic abuse.
We conduct standard web application security testing across the full application.
We identify and prioritize findings where AI-specific and traditional vulnerabilities compound each other.
Our risk reduction strategy melds unparalleled technical acumen with a client-focused approach to deliver targeted, cost-effective, and accessible solutions that fortify your organization against the ever- evolving cyber threat landscape.
We leverage our cybersecurity expertise to safeguard your business integrity, ensuring you operate securely, move forward confidently, and build trust in an interconnected digital world.
We deploy cutting-edge cybersecurity measures and personalized strategies to offer unwavering data protection, reinforcing our commitment to preserving your company’s invaluable digital assets.
Reach out to us today and discover the potential of bespoke cybersecurity solutions designed to reduce your business risk.