Intelligent Algorithms

Don’t know what you are looking for? Inspekt’s unique algorithms will detect unusual behavior and flag the activities that require your attention automatically. It’s like finding the needle in the haystack without even looking for it.

As opposed to most of the competition, Inspekt uses machine learning algorithms (often referred to as artificial intelligence) to adaptively learn what is unusual behavior on your network. The algorithms continuously monitors the flow and content of data, and builds models on the fly. It then correlates real-time information with historical data to determine whether the observed behavior has happened before and under which conditions.

Parallel to this, the data is being processed to extract variables, classify data, group similar data streams and log data, and link users and devices to their relevant data.

Based on this, events are created when the system determines that something is considered abnormal behavior. Usually this is less than 10 high priority events per day in a busy network.

Another advantage of this type of algorithmic analysis is that we are not just looking for things that we expect could happen. You could write a thousand rules but you will never know what tomorrow's attacker, worm, virus, or malfunction is. With InspektOne, that does not matter. Our algorithms will pick up activity that is not normal for your network and systems, and alert you to it.