How does Artificial Intelligence come to the rescue of cybersecurity?

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How does Artificial Intelligence come to the rescue of cybersecurity?

It is a reality, Artificial Intelligence has developed in many sectors of our daily life and our economy. It is able to process and analyze large amounts of data in the era of exponential growth of BIG DATA.

In the field of information systems security, the increase in attacks against the infrastructures of companies and institutions constantly leads to the development and implementation of new techniques to protect data integrity and service continuity
 
cybersécurity company
 

What is the challenge?

To protect themselves, it is imperative for companies to be able to analyze their data, identify attack patterns and detect anomalies in real time in order to “close the gates” before their data is stolen.

 

Current situation:

Today, cybersecurity solutions used by companies such as anti-virus, EDR, XDR are mainly based on the detection of existing threats.

What is the limit of these solutions? For example, when a malicious domain name is detected, it is very likely that information systems have already been the target of attacks and are already infected.

AI to help cybersecurity

Thanks to Artificial Intelligence and predictive analysis associated, disruptive solutions don’t just tell you where cybercriminals have tried to attack. These solutions tell you their next target and reveal your weak points to make it easier for you to make decisions about protecting your infrastructure.

Bfore.ai, the only predictive security solution for malicious domains

7 years of research and development have led to the PRECRIME solution and have resulted in 4 patents.

cybesécurité intelligence artificielle

Algorithms designed by Bfore.ai use Artificial Intelligence to identify malicious domain names by taking into account more than 1.7 million IOC’s (Indicators of Compromise).

The processing of these indicators via AI makes it possible to define a threat score associated with a domain name.

Now, Bfore.ai allows any organization to identify and block domain names predicted as malicious up to several months in advance. Today, over 6 million malicious behaviors have been identified.

The innovation brought by this new type of protection lies in the speed of identification of malicious domain names.

cybersécurité precrime

Unlike other cybersecurity solutions that focus on studying the threats themselves (malware, viruses, ransomware, etc.), Bfore.ai’s solutions analyze domain names in an agnostic manner. They study changes in the infrastructure around the domain name (DNS information, IP addresses, SSL certificates, etc.) as soon as it is created. Although no attacks have been launched yet, bfore.ai users are able to protect themselves against them.

Virus Total, the largest cybersecurity solution referencing system (owned by Google) identifies Bfore.ai as the fastest solution on the market in recognizing malicious domain names.

In summary, some key figures;

  • 7 years of research and development have led to Bfore.ai’s PRECRIME solution and have resulted in the filing of 4 patents by Bfore.ai.

  • 500,000 domain names analyzed per day. These domain names are injected into the BFORE.ai model and are identified as malicious or benign. Precrime uses indicators of compromise (IOCs) and then calculates a score for each domain name.

  • On average, 30,000 malicious domains are identified every day. These domain names are used by cybercriminals to carry out cyberattacks on companies: phishing, ddos, ransomware, botnet… Identifying these threats upstream gives companies a superpower that allows them to protect themselves against them.

  • <0.05% false positive rate. Bfore.IA’s Precrime system predicts malicious domain names with high accuracy. Out of 10,000 predicted malicious domain names, only 5 are not malicious, and 9,995 of them represent a threat to your information system. Artificial intelligence allows us to refine the identification process. In fact, the false positive rate has dropped from 5% to 0.05% in just one year.

  • Up to 4 months ahead of other solutions. Bfore.ai’s predictions have a significant advantage. Domain names are identified as malicious long before the cyber attack is carried out. As a result, Bfore.AI leads VirusTotal’s ranking in this area.

 

Case Study: How did Bfore.ai’s solutions save Signify?

cybesécurité precrime

Signify, the former Philips Lighting, one of the world’s leading lamp manufacturers, has decided to entrust part of its cybersecurity to Bfore.ai. Despite the fact that they had a very advanced cybersecurity system (using 3 market-leading Brand Protection solutions), Signify was constantly being targeted by cyber attacks.

Thanks to Bfore.ai, Signify was able to identify +60% of cyber threats up to 4 months in advance over existing solutions and thus avoided a +$30M ransomware attack estimated by Signify.

Today, Signify, like 92% of the companies that have tested Bfore.ai’s technology, has decided to adopt Bfore.ai’s solutions to predict cyberattacks in advance and strengthen the cybersecurity of their infrastructure.

IPSIP Group & BFORE.ai

Certified ISO 27001 and with a 24/7 SOC, IPSIP is the official distributor and integrator of Bfore.ai solutions in France and abroad.

 

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