As cyber threat actors increasingly target AI systems, the data pipelines used to train these systems will similarly come under attack as a potentially easier or more covert route to poisoning and altering the operation of these systems. This excerpt highlights technical methods for implementing stealthful training data manipulation through targeted adjustments in pipeline automation.

Rapid industry adoption of chatbot technology is driving efficiency and improving customer service but also expanding cyber risk. Implementation of conversational AI solutions have outpaced many cybersecurity controls and may leave organizations vulnerable to cyber-attack. This series will improve awareness of potential chatbot exploitation methods, map the expanded attack surface, and provide guidelines for improving the technical and procedural controls required to address these threats.