Stop Blocking Good Bots: How to Govern AI Agents Without Losing Revenue

Overview

Watch our demo to see how security teams identify malicious automation while protecting legitimate traffic and revenue-critical user journeys.

We cover how to:

• Detect AI agents, partner bots, and scrapers in real traffic
• Prevent credential stuffing without blocking customers
• Understand where bot defenses hurt login, search, and checkout

Bots, AI agents, and automation is now a significant share of traffic across most enterprise digital platforms.

The problem isn’t just blocking bots anymore. It’s identifying humans, good bots, bad bots and AI agents to trust and which to stop without harming real customers.

Automation now includes:

• AI agents
• Partner integrations
• Monitoring and QA tools
• Aggregators and legitimate automation

Alongside malicious activity like:

• Credential stuffing
• Scraping
• Business logic abuse

Security teams must now govern automation intelligently — allowing legitimate traffic while stopping harmful activity.

This webinar shows how leading teams are solving that challenge.

In this demo, Andrew Ash and Mark Greenwood will show how security and fraud teams use our server-side detection to identify this malicious automation.

Bot strategies that were designed to block worked well when automation was mainly hostile. As automation now includes AI agents, partner tooling, aggregators, monitoring, QA, and other legitimate use cases, alongside malicious bots, scrapers, credential stuffing, and business logic abuse, enterprises now need to govern harder.

• Real traffic classification for bots, AI agents, and automation
• How security teams detect malicious activity without harming legitimate traffic
• Where automation impacts critical customer journeys
• How automation exposure can be communicated to leadership

This session is designed for leaders responsible for protecting digital platforms while maintaining customer experience:

• CISOs and security leaders
• Fraud and risk leaders
• CTOs and digital platform owners
• Heads of digital experience and ecommerce
• Architects responsible for edge, identity, WAF, and traffic governance

Key Takeaways:

• Identify and segment automation (AI agents, benign automation, partner tooling, malicious bots) using real traffic signals and intent indicators
• Pinpoint misclassification risk in high-value journeys (login, search, add to basket, checkout) and see where friction or exposure is introduced
• Verify legitimate automation without creating unnecessary customer disruption
• Enforce precise policy outcomes based on intent, including allow, challenge, and block actions
• Explain automation exposure in plain English with reporting views that make outcomes and business impact easy to communicate