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Here are three key takeaways that highlight what’s changing and what prospective buyers must consider.
The rise of AI agents blurs the line between human and automated traffic. Agents can represent legitimate customers, business partners, or malicious actors. Formerly trusted agents can be hijacked into performing malicious activities.
This creates a fundamental tension: Blocking too aggressively risks disrupting real customer experiences, but allowing the wrong automated traffic opens the door to fraud and abuse. As a result, the market is evolving from a security-first mindset to a trust-first model that emphasizes understanding intent, distinguishing between good and bad automated traffic, and enabling beneficial agent activity while stopping harmful traffic.
What this means for buyers: Solutions must go beyond detection and response. They must identify who or what is interacting with your applications, why, and how that aligns with business value.
We’ve noted for years that security, fraud, eCommerce, marketing, and business leaders all have a stake in bot management. With the evolution into bot and agent trust management, cross-functional participation becomes critical. Bot and agent traffic impacts far more than security teams. Organizations must now coordinate across the full set of stakeholders to define policies that balance:
For example, different stakeholders may have different attitudes about LLM scraping – while some on the team will be concerned about the potential loss of IP and the infrastructure costs from heavy scraping, others will prefer to allow certain LLMs to scrape so that their brand and site shows up more in AI responses and drives more human customers to the site. This also means that bot and agent trust management software must integrate across the ecosystem (including identity providers, eCommerce platforms, and marketing tools) and support use-case-specific workflows and dashboards.
What this means for buyers: Treat bot and agent trust management as a shared discipline, not a point solution. Success depends on governance, cross-team alignment, and the ability to operationalize policies across multiple business functions.
Bot detection is no longer sufficient. Organizations increasingly require deeper analytics to understand:
At the same time, buyers are relying more heavily on vendors as strategic partners, not just technology providers. Ongoing threat research, proactive support, and collaboration on tuning models and preparing for major events are critical to maintaining effective defenses, especially as bot operators continue to evolve their attacks. For example, a few vendors offer features that allow customers to proactively notify them of upcoming hype sales.
What this means for buyers: Evaluate solutions not just on detection, but on visibility, explainability, and partnership.
The Forrester Wave™: Bot And Agent Trust Management Software, Q2 2026 describes these and other trends and dives into the capabilities of the top providers. Check out the report and schedule an inquiry or guidance session to learn more.
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