Bot detection check to prevent automated threats

Bot detection check to prevent automated threats are software applications that interact with websites, applications and networks, some performing legitimate functions such as search engine indexing while others can be malicious, engaged in data scraping, DDoS attacks or account takeover (ATO) fraud. Effectively detecting and mitigating bot traffic requires a comprehensive approach that relies on multiple techniques, such as device fingerprinting, analysis of user-agent strings and vigilant monitoring for anomalous behaviours. Bot developers are constantly updating their technologies to bypass security measures, creating a constant cat-and-mouse game that requires constant research and development of bot detection techniques.

Achieving a zero tolerance for bots means that only human traffic is allowed to enter a business website or app, while keeping digital experiences optimized and secure for users. This is possible with dynamic evaluation of incoming traffic in real time that can be supplemented by secondary screening for high-risk traffic to ensure the right balance is struck without impacting genuine human traffic.

Bot Detection Check to Prevent Automated Threats: Stay One Step Ahead

The best bot detection tools use a combination of methods to differentiate between human and non-human traffic. Abnormal traffic volume and rate is one indicator, as are mouse movements that don’t match those of humans, which typically browse content at a moderate pace. The use of outdated or generic user-agent strings also indicates bot activity, as does traffic from unusual or unlikely geographic locations. Text-based CAPTCHAs are another method that can be used to identify bots, which are unable to understand and interpret distorted characters. Other mitigation strategies include encouraging or forcing two-factor authentication (2FA) to mitigate the risk of bot-enabled account takeover and fraud.