Lars-Georg Paulsen
CTO & Principal Consultant
Assessing AI in Application Workflows
"We are seeing a massive shift where AI models are now influencing core business processes directly. The challenge is that when a system trusts AI-generated content blindly, it creates a massive attack surface. We’re currently seeing a spike in supply chain exploits that take advantage of this exact lack of validation. Our goal in River Security is to help firms move from 'blind trust' to 'verified automation' before those vulnerabilities are exploited.
To do that, we look at how someone could realistically abuse the AI within your specific application. We don’t just test the AI as an isolated tool; we look at the big picture—where the AI’s outputs, your automated workflows, and your users all meet. That’s where the real risks live, and that’s where we focus our testing."
Active Focus:
Continuous Protection
By approaching AI as both a feature and a potential attack primitive, we assess how the system behave when confronted with malicious input and unexpected scenarios. This ensures that new technologies are evaluated with the same adversarial mindset applied throughout our penetration testing methodology.
For customers with Active Focus, we continuously identify new AI implementations and integrations as they emerge within the environment. When these components are discovered, we perform rapid penetration testing assessments to evaluate the associated security risks. This ensures that newly introduced AI capabilities and external integrations are assessed early, before they become exploited by other entities.
Securing Your AI Logic
We stress-test the connection between AI outputs and your core business logic to ensure unvalidated responses can't be used to trigger unauthorized system actions.
Adopt an Adversarial Mindset
We treat every AI component as a potential entry point, applying rigorous penetration testing to see exactly how your system holds up against malicious inputs and unexpected scenarios.
Stay Protected
We provide continuous monitoring to identify new AI integrations as they appear in your environment, performing rapid security assessments before these new features can be exploited.
