Bot Defense is Table Stakes. Machine Traffic Requires a Business Strategy
Blog post from Fastly
AI-driven traffic on the internet is increasing at a pace that surpasses human traffic, posing new challenges for businesses in managing this machine-to-machine interaction. Companies must discern between AI interactions that add value and those that pose risks, recognizing that simply blocking AI traffic is insufficient and can lead to missed opportunities or degraded user experiences. Effective management requires a nuanced approach to each request, leveraging the edge as a real-time decision layer to inspect and enforce policies. Businesses need strategies that focus on visibility, context, and precision to understand AI systems’ behaviors, ensuring they can differentiate valuable automation from harmful activities. Fastly offers solutions that help organizations execute these strategies by providing the necessary tools to balance performance, security, and bot management, ultimately aiding in distinguishing between beneficial and unwanted machine traffic. Forward-looking statements in the text highlight potential risks and uncertainties related to the growth and impact of AI traffic, advising stakeholders to remain aware of these factors as they evolve.