The digital landscape is intelligent bot detection and blocking  with bots, from helpful ones used to crawl websites and index information to malicious ones hijacking user accounts, disrupting services or manipulating e-commerce platforms. They are often undetected, but they can significantly impact website performance and lead to costly financial losses. Intelligent bot detection and blocking is essential to protect web, mobile apps, and APIs.

Modern detection techniques recognize the erratic, programmatic nature of bot traffic versus human activity to detect and block suspicious connections. The best bot management solutions combine multiple detection triggers — including behavioral analysis, device fingerprinting, IP analysis and ML-based threat intelligence — to provide a comprehensive assessment of each request. This enables businesses to take the appropriate actions for each risk assessment, allowing beneficial bots and blocking adversarial ones without increasing latency.

Advanced bots can bypass traditional detection methods, such as watching for time delays and mouse movements that distinguish users from bots. They can even emulate human click patterns to evade basic detection methods. To effectively protect against these highly-sophisticated threats, security systems must use the power of machine learning (ML) to evolve defenses in real time.

Stytch’s intelligent bot detection and mitigation solution uses a combination of device fingerprinting, ML-based intelligence and supervised bot recognition to create unique identifiers for each browser. This enables security to identify devices, operating systems, software and hardware and generates highly stable device identifiers that are not affected by proxy tools or incognito browsing, as well as providing better visibility for business teams.