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What problem are you trying to solve?

Detecting anomalies in big data in a non-supervised way.

How do you aim to solve this problem?

We invented many algorithms. We apply the algorithms and we fuse the results to get one coherent answer. We learn how the database works, we learn its standard behavior and then look for departures from regular behavior. Then we can pinpoint the anomalies.

Who is your competition?

Palantir, SkyTree, and there are companies that have rule-based solutions, so they are similar to us but not the same.

How are you different from them?

Other companies use supervised rule-based solutions. Our solution is unique, because we do it unsupervised and we use an algorithm that was developed by professors from Yale University. We have a higher anomaly detection rate.

What do you think is the greatest concern in the world of Cybersecurity?

Finding the next attack. The unknown.

Do you have any Breaking News you would like to share?

One of the biggest banks in Singapore, OCBC, chose our solution to be their AML detection platform.

Competitors According to TAG Cyber Security Annual
Bayshore Networks