On a basic level, artificial intelligence (AI) security solutions are programmed to identify “safe” versus “malicious” behaviors by cross-comparing the behaviors of users across an environment to those in a similar environment. This process is often referred to as “unsupervised learning” where the system creates patterns without human supervision. For some AI platforms, like Vectra, “deep learning” is another key application for identifying malicious behaviors. Inspired by the biological structure and function of neurons in the brain, deep learning relies on large, interconnected networks of artificial neurons. These neurons are organized into layers, with individual neurons connected to one another by a set of weights that adapt in response to newly arriving inputs.
Sophisticated AI cybersecurity tools have the capability to compute and analyze large sets of data allowing them to develop activity patterns that indicate potential malicious behavior. In this sense, AI emulates the threat-detection aptitude of its human counterparts. In cybersecurity, AI can also be used for automation, triaging, aggregating alerts, sorting through alerts, automating responses, and more. AI is often used to augment the first level of analyst work.
AI security solutions are able to identify, predict, respond to, and learn about potential cybersecurity threats, without depending on human input. Sophisticated AI security tools can:
AI cybersecurity provides many benefits to companies and their existing IT and security teams. A few of the most high-value benefits include:
As enterprises are beginning to implement AI technology in their cybersecurity infrastructure, malicious actors are staying up to date and begin to adapt their methods to stay off the radar. Cybercriminals have the chance to figure out the solution’s threat flagging mechanism, allowing them to modify their attack’s strategy to avoid detection and increase the speed of attacks.
When deciding on an AI security vendor, it is essential to ask the correct questions to evaluate whether or not that vendor provides an AI driven cybersecurity solution that can effectively protect your network. Below are nine of the best questions to ask and reflect on:
Thanks to automated detection capabilities, AI cybersecurity tools enable enterprises to identify, locate, quarantine, and remediate threats more efficiently.
With the development of machine learning technologies, AI is set out to become an integral part of cybersecurity. Though AI might not take over cybersecurity completely, it will be able to manage a network’s safety with minimal supervision.
There aren’t any inherent downsides to using AI for cybersecurity. The potential issues arise when cybersecurity experts start relying solely on the technology to hunt and fix threats.
As a leader in network detection and response (NDR), Vectra AI protects your data, systems and infrastructure. Vectra AI enables your security operations center (SOC) team to quickly discover and respond to would-be attackers—before they act. Vectra AI rapidly identifies suspicious behavior and activity on your extended network, whether on-premises or in the cloud. Vectra will find it, flag it, and alert security personnel so they can respond immediately. Vectra AI is Security that thinks®. It uses artificial intelligence to improve detection and response over time, eliminating false positives so you can focus on real threats.
Learn what criteria you should look for in a security product with machine learning and AI and how Vectra can help reduce the time spent on threat investigations by up to 90%.
Learn how Vectra provides the reliable way to detect hidden attacks and respond instantly to stop in-progress threats from becoming a data breach.
Learn how each attack stage contributes to the overall detection model, examples of specific detection techniques, and the various threats these detection techniques can find.
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