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Autonomous AI systems now browse, compare, purchase, and support your customers. Some attack your business, and most organizations can’t see any of them. Agent Intelligence gives enterprises the visibility and control to operate safety in the Autonomous Internet.
For the last 25 years, customer-facing applications were built on one assumption: every interaction came from a human.
That assumption is no longer true.
Autonomous systems now interact directly with your applications. Some help customers. Some optimize business processes. Some look for vulnerabilities. Some commit fraud. And most organizations cannot tell them apart.
Answers the wrong question.
What autonomous system is interacting with my application, what is it trying to accomplish, and how should I respond?
This is the gap.
Detect the autonomous systems interacting with your applications, in real-time, whether or not they announce themselves.
Determine each system’s identity, behavior, intent, and business impact, so a helpful shopping agent and a hostile script are never treated the same way.
Apply real-time policies that let trusted agents through and stop malicious ones before they reach your business.
Knowing who signed in is no longer enough. A runtime decision now depends on understanding whether the interaction is coming from a person, an AI assistant, a shopping agent, or a malicious autonomous system, and whether that behavior should be trusted at all.
This is the reframe. It is a different problem, not another signal bolted onto the old one.
Twenty years ago, enterprises added identity platforms because passwords weren’t enough. Then they added fraud platforms because authentication wasn’t enough. Today they’re adding Agent Intelligence, because neither identity nor fraud was built for autonomous interactions.
Not all automation is a threat. Tell the agent helping your customer apart from the script probing for weaknesses, and treat each accordingly.
Autonomous attacks start by mapping your application. Catch the exploration phase and you stop the fraud before it has a target.
See the paths agents actually take through your flows, where they concentrate, and what they are trying to reach.
Reset and recovery flows are prime targets for automated takeover. Spot autonomous pressure on those paths as it happens.
Shopping and booking agents are becoming real revenue. Let the legitimate ones complete transactions while everything else stays under control.
Stop forcing agents through rules written for humans. Set conditions built for machine actors and enforce them at runtime.
Schedule a personalized demonstration of Agent Intelligence and discover how autonomous systems are already interacting with your customer-facing applications.