Automation Detection

Automation frameworks are not new. They have been used to scrape websites for many years, they have also been used increasingly over the past few years to replay attacks against unsuspecting websites. You will no doubt have noticed the rise of Captcha challenges as a way to prevent the activity. However, evolution is a powerful thing in the world of automation, Agentic AI has changed the landscape and the need for greater automation detection. The detection methodology has changed from "What tool is driving the browser", to "What goal can I detect in this activity". WHile the methods are not new, the volume, the velocity are significantly higher (24x7) and the agents are now capable of learning in session.

Rules to prevent automation frameworks, such as behavioural timings flight, rythmn, sequence across a keyboard, mouse event, scroll and wheel event, copy and paste events all have value, however agents are adapting in session, changing timings to bypass controls. Such controls therefore need to be adapted and capable of consuming signals from a rich layer of data.

Our expertise can guide organisations to which signals are vital to for detection and prevention, which signals in combination and isolation add the most value and how to create a strong automation Agentic proof detection process that learn from your organisatons traffic patterns.