Category: Tech, Technology, Business

Tags: cybernx, brand risk monitoring, dark web monitoring

As organizations adopt AI-driven applications, the attack surface expands beyond traditional infrastructure. Traditional penetration testing focuses on servers, APIs, authentication controls, databases, and network boundaries. AI penetration testing goes further by evaluating model behavior, agent logic, RAG pipelines, tool permissions, and workflow integrations. Understanding both approaches helps organizations identify modern threats and secure AI-powered systems effectively.