The Coming 'Good Bot' Revolution: Why Companies Must Prepare Now

"The future internet will be populated not just by malicious bots but predominantly by beneficial AI agents working on behalf of users," states Guy Tytunovich, CEO and founder of cybersecurity company Cheq. "This fundamental shift will require companies to completely rethink their digital infrastructure to accommodate legitimate automated interactions."
End of Miles reports that while much attention focuses on detecting and preventing malicious AI activity, businesses must equally prepare for the impending wave of authorized AI agents that will transform how consumers interact with digital services.
The Rise of the Machine Customer
According to Tytunovich, we're witnessing the early stages of a transformation where AI agents increasingly mediate consumer interactions with businesses. These delegated agents will handle everything from product research to purchase decisions.
"We're moving toward a reality where most internet traffic will come from authorized agents acting on behalf of humans. These aren't malicious bots trying to scrape data or conduct fraud – they're legitimately helping people accomplish tasks more efficiently." Guy Tytunovich, Cheq CEO
The cybersecurity expert elaborates that persistent agent identities will become increasingly important as these systems build reputational metrics across multiple interactions. Companies must develop frameworks for distinguishing between authorized and unauthorized automated activities.
Reimagining Digital Interactions
Tytunovich believes businesses that fail to adapt to this dual-audience reality will face significant competitive disadvantages as consumer preferences shift toward agent-mediated experiences.
"Companies need to start thinking about optimizing their digital experiences not just for human users but for machine customers as well. This means creating machine-readable interfaces alongside traditional human-focused ones. The businesses that do this well will capture significant market share." The Cheq founder
The security expert explains that these adjustments extend beyond technical implementations to fundamental business model considerations. Organizations must determine pricing structures, service tiers, and interaction frameworks specifically designed for AI agent engagement.
The Multi-Layered Authentication Challenge
One of the most complex challenges in this emerging landscape involves verifying the legitimacy of AI agent interactions. Tytunovich describes this as a multi-dimensional problem requiring new technical solutions.
"We're developing systems that can assess three critical questions: Is this an AI agent? Is it authorized to act on behalf of a specific user? And is it performing legitimate actions within its permission scope? This creates an entirely new verification paradigm that didn't exist before." Tytunovich
The recognition and accommodation of legitimate AI agents represents just one facet of the broader challenges businesses face as machine customers become increasingly prevalent. While cybersecurity concerns remain significant, Tytunovich emphasizes that companies focusing exclusively on threat detection will miss the transformative opportunities presented by beneficial AI agents.
Preparing for the Inevitable Shift
The Cheq CEO advises businesses to begin experimenting with AI agent interactions now, before competitive pressures force reactive rather than strategic adaptations.
"Forward-thinking companies are already developing agent-friendly APIs and interaction models. The transition to an agent-mediated internet isn't speculative – it's already underway. The question isn't if your company will need to accommodate beneficial AI agents, but how quickly you can implement effective strategies for doing so." The cybersecurity expert
As AI agent adoption accelerates, Tytunovich predicts that consumer expectations will rapidly evolve to favor businesses offering seamless agent-mediated experiences. This shift will create substantial advantages for early adopters while potentially disrupting companies that delay adaptation to this emerging paradigm.