Gleam is a cloud cybersecurity platform that protects the technological infrastructure of corporations and operators by applying artificial intelligence.

It protects corporate networks of any size by analyzing network traffic, creating models of normal behaviour and predicting abnormal traffic in real time.

The cybersecurity market is growing at a rate of 12.4% and an estimated investment of $124 billion this year. This remarkable growth is due to the fact that cyber-attacks are the order of the day: 54% of companies in 2018 have experienced one or more attacks compromising data and services.

The solution proposed by Gleam has been created by a team of entrepreneurs with great experience in the sector. Its team has already successfully developed cybersecurity solutions contracted by large companies such as Banco Santander.

Gleam already has the backing of relevant investors, highlighting Teleprocesing Services: a investment vehicle from a telecommunications company with more than 50 M€ of turnover and 3 exits of 7 investments made, most notably the Spanish cybersecurity company AllienVault which was sold for 700 M$.

Problem to be solved

• 54% of companies in 2018 have experienced one or more attacks that have compromised their data or services (source: The Ponemon Institute). And all this in spite of a very strong increase in investment in cybersecurity in recent years: more than one trillion investment expected in the next 5 years (figures in American notation) (source: Cybersecurity Ventures). For 2019 Gartner estimates an investment of 124 billion dollars with a growth of 12.4%.
• Traditional systems are expensive, intrusive and complex because today's cybersecurity stack typically consists of more than 20-30 different technologies. This causes these systems to respond poorly to unknown threats.

Solution: Gleam AI

• Allows detection of new-type attacks, no matter how sophisticated or novel they are. The change, although very subtle in communications, will reveal the attack to the eyes of Gleam thanks to the behaviour models of each device in the network created by Deep Learning (AI).

• Allows to protect networks of any size and with the necessary granularity collecting the information produced by the network natively in real time without intrusion (without the deployment of probes, installation of agents or collection devices in the networks to protect).

• Gleam can be implemented in seconds without any cost in management or resources.

• It is an active cybersecurity platform, i.e. its applicability is not limited to the detection of "attacks" but to the filtering of pernicious traffic by pushing policies and filters to the existing network infrastructure (e.g. ACL's to routers, rules to Firewalls or OpenFlow commands to SDN).