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What does? is a platform for delivering decision intelligence, that currently augments Security Operation Centers's capacity in dealing with incoming threats by increasing analyst efficiency in decision-making.

Our platform is a decision intelligence platform that uses AI, more specifically NLP (Natural Language Processing), Deep Learning and Expert Feedback for streamlining the process of alerts handling in Security Operation Centers.

For further information about, please check our documentation here
What is AI-Assisted Cybersecurity?
As the number of threats continues to grow while the gap in cybersecurity talent widens, artificial intelligence (AI) offers the help that analysts need to deal with their day-to-day challenges.

AI-Assisted Cybersecurity is a new form of technology that continously learns from the cybersecurity team's experience and expertise, assimilating this knowledge into it's AI models.

As such, your top tier analysts' knowledge is used to assist and augment the entire cybersecurity team streamlining operations.
Can I use data from multiple sources and environments? offers AI-Assisted Cybersecurity by bringing all the required data into a single place where it can be processed and analyzed in order to automate decision and post-decision tasks across the growing IT infrastructure.

To accommodate this we built our platform domain-agnostic meaning that it is capable of ingesting data from any source and in any format.

At the same time, the Alert Triage module of the platform is tuned to be applicable to data from any industry, not just IT. Alert noise can be reduced by the same algorithm using data from healthcare, manufacturing, retail or any other domain.
How is alert noise supressed?
AI-Assisted Cybersecurity follows the regular process that an operator would take in investigating an alert manually but without the need of human intervention. All the checks and information collection which previously were prone to human error are now performed automatically.

The result is that SOC engineers have fewer alerts to analyze and that the alerts that they need to investigate are correlated with additional information that enables them to efficiently address them.
How does manage SOC alerts?
For example, when a Cybersecurity alert is created in the ticketing system, the SOC analyst opens the ticket, collects more information about the attack and then addresses the issue. In many cases the alerts will turn out to be false-positives and could have been discarded right away to save the analyst’s time. not only reduces the number of false-positive alerts, but also automates several checks, contextual information collection and ticket creation.

When the algorithm decides to escalate an alert, it automatically creates a ticket and allocates it to the appropriate team for handling. Additionally, several checks are being made against threat intelligence sources and the information regarding the alert found in these databases are added to the ticket, so that your SOC analyst has more context to focus on addressing the issue
How can AI be used in Cybersecurity?
AI enables the analysis of massive amounts of data in a short time which is a key aspect in dealing with Cybersecurity threats. Moreso, with a serious talent shortage of experts, AI's role in Cybersecurity becomes even more important in dealing with threats in a timely manner by automating manual tasks and assimilating institutional knowledge to help streamline operations with the help of AI.
Does offers a free trial?
Yes, both our AWS Marketplace paid and on-premise versions include a free trial of 30 days.

You can check the available versions here
Does offers support?
Yes, you can contact us via our support page. Our team is always available to help with any questions you might have.
What are the installation options for
For installation options, please check our documentation here