Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Netacea Approach | Smarter Bot Management Powered by Machine Learning

The majority of internet traffic is now made up of bots. Many bots are malicious, and actively looking for the next opportunity to attack. In fact, bots make 90% of all login attempts. They also pretend to be human, trying to bypass security measures and evade detection by mimicking human behaviour. Worse, the old defences aren’t enough on their own. Manual analysis, rules-based defences and web application firewalls just can’t keep pace with the ferocity of these attacks.

What is Machine Learning?

Over the last century, our technology devices have gone from being clunky systems that require tons of human interaction, to modern machines that seem to have a mind of their own. Our phones can do things like autocomplete sentences before we finish typing, suggest purchases based on sites we’ve visited in the past, and even predict our schedules on any given day based on our prior habits. This is all possible due to the growth of artificial intelligence and machine learning.

Technology Webinar: ImmuniWeb Application Security Platform

ImmuniWeb® Application Security Testing Platform leverages a machine learning technology for intelligent automation of web vulnerability scanning. Complemented by human intelligence, it detects the most sophisticated web application vulnerabilities and comes with zero false-positives SLA.