Vectra AI Platform is being expanded. Through the latest update of Attack Signal Intelligence, SOC teams are better informed about potential weaknesses in their hybrid infrastructures.
Active posture monitoring is extremely important with the rise of AI, according to Vectra AI. This is because the technology not only helps security specialists make the solutions at their disposal more robust, but it also gives hackers more opportunities to penetrate online enterprise environments.
“We believe that SOC teams need visibility into their active posture to understand their vulnerability to attackers. With that foundation, they should be armed with the right information to actively detect and identify active attacks on their networks, identities, clouds and GenAI tools,” states Vectra AI CEO Hitesh Sheth.
Attack Signal Intelligence
Vectra AI is one of the providers of AI-driven security solutions specializing in extended detection and response (XDR). The solutions alert SOC teams and this gets more and more robust through the new Attack Signal Intelligence. This provides teams with a complete overview based on data to detect and stop attackers, but also primarily on what vulnerabilities and potential threats are currently present in the infrastructure. Attack Signal Intelligence uses AI to monitor more than 20 different data streams and hundreds of attributes simultaneously.
Specifically, security specialists can find information about poor password hygiene among users who do not have 2FA enabled and risks in network protocols, such as unencrypted data transfers. In addition, the platform generates insights about the use of Copilot on Microsoft 365 in organisations. Those insights can also help security teams adjust restrictions for specific user groups.
Vectra AI works with SentinelOne’s XDR platform: Mandiant Threat Intelligence integrates with SentinelOne XDR