Cybersecurity
How is Artificial Intelligence helping cybersecurity?
It is now a reality that artificial intelligence has developed in many areas of our daily lives and economy. It is capable of processing and analysing large amounts of data in this era of exponential growth in Big Data.
In the field of information system security, the resurgence of attacks against corporate and institutional infrastructure means that new techniques must constantly be developed and implemented to protect data integrity and service continuity.
Domain name theft: what are the risks?
To protect themselves, companies must be able to analyse their data, identify attack patterns and detect anomalies in real time in order to ‘close the floodgates’ before their data is stolen.
The current situation:
Today, cybersecurity solutions used by businesses, such as antivirus, EDR and XDR, are mainly based on detecting existing threats.
What are the limitations of these solutions? For example, when a malicious domain name is detected, it is highly likely that information systems have already been targeted by attacks and infected.
AI to the rescue of cybersecurity
Thanks to artificial intelligence and predictive analytics, disruptive solutions do more than just tell you where cybercriminals have attempted to attack. These solutions show you their next target and reveal your weak points. This will make it easier to take decisions about protecting your infrastructure.
Bfore.ai, the only predictive security solution for malicious domains
Seven years of research and development have led to the PRECRIME solution and resulted in four patents being filed by Bfore.ai.
The algorithms designed by Bfore.ai use Artificial Intelligence to identify malicious domain names by taking into account more than 1.7 million IOCs (Indicators of Compromise). Processing these indicators via AI makes it possible to define a danger score associated with a domain name.
Bfore.ai now enables any organisation to identify and block domain names predicted to be malicious up to several months in advance. To date, more than 6 million instances of malicious behaviour have been identified. The innovation offered by this new type of protection lies in the speed with which malicious domain names can be identified.
Unlike other cybersecurity solutions that focus on studying threats themselves (malware, viruses, ransomware, etc.), Bfore.ai solutions analyse domain names in an agnostic manner. They study changes in behaviour in the infrastructure surrounding the domain name (DNS information, IP addresses, SSL certificates, etc.) from the moment it is created. Even if no attack has been launched yet, bfore.ai users are able to protect themselves against it.
Virus Total, the largest cybersecurity solution referencing system (owned by Google), identifies Bfore.ai as the fastest solution on the market for recognising malicious domain names.
In summary, with a few key figures
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Seven years of research and development have led to the PRECRIME solution from Bfore.ai and resulted in 4 patents being filed by Bfore.ai.
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500,000 domain names analysed per day. These domain names are fed into the BFORE.AI model and identified as malicious or benign. Precrime uses indicators (IOCs – indicators of compromise) and then assigns a score to each domain name.
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On average, 30,000 malicious domains are identified every day. These domain names are used by cybercriminals to carry out cyberattacks on businesses: phishing, DDoS, ransomware, botnets, etc. Identifying these threats in advance gives businesses a superpower that allows them to protect themselves against them.
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<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, with 9,995 posing a threat to your information system. Artificial intelligence makes it possible to refine the identification process. In fact, the false positive rate has dropped from 5% to 0.05% in just one year.
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Up to 4 months ahead of other solutions. Bfore.ai's predictions have a considerable advantage. Domain names are identified as malicious well before the cyberattack is carried out. As a result, Bfore.AI ranks first in VirusTotal's rankings in this area.
How did Bfore.ai's solutions save Signify?
Signify, formerly 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 the company had a highly advanced cybersecurity system (using three market-leading brand protection solutions), Signify continued to be the target of cyberattacks.
Thanks to Bfore.ai, Signify was able to identify 60% more cyber threats up to four months in advance compared to existing solutions, thereby preventing a ransomware attack estimated by Signify to be worth over €30 million.
Today, Signify, like 92% of 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
ISO 27001 certified and with a 24/7 SOC, we act as an official distributor and integrator of Bfore.ai solutions in France and internationally.
Do you have any questions about a topic covered in this article? Please feel free to contact us, our experts will be happy to answer your questions.