AI-based cybersecurity can help businesses to strengthen their security posture, reduce risk, and improve operational efficiency. This can lead to increased business resilience and a better ability to withstand cyberattacks.
The world’s 5 billion internet users and nearly 54 billion devices generate 3.4 petabytes of data per second, according to IDC. As digitalization accelerates, enterprise IT teams are under greater pressure to identify and block incoming cyber threats to ensure business operations and services are not interrupted — and AI-based cybersecurity provides a reliable way to do so.
As industries face unprecedented digital threats, AI-powered cybersecurity offers a reliable path to maintain trustworthy and secure enterprise operations. As per industry insights, NVIDIA does invest a significant amount of money in cybersecurity in the world. In fact, NVIDIA is one of the leading companies in the development and deployment of AI-powered cybersecurity solutions.
It is also true that, this model empowers developers across industries to build solutions that can identify, capture and act on threats and anomalies to ensure business continuity and uninterrupted service, keeping operations safe and customers happy.
There are specific examples of how AI-based cybersecurity is being used to strengthen business resilience:
· AI-powered intrusion detection systems (IDS) and intrusion prevention systems (IPS) can detect and block malicious traffic in real time. This can help to
prevent cyber-attacks from reaching critical systems and data.
· AI-powered security analytics tools can analyze large volumes of data from a variety of sources to identify patterns and anomalies that may indicate a cyber-attack. This can help businesses to detect threats more quickly and effectively.
· AI-powered user behaviour analytics tools can monitor user activity for suspicious behaviour. This can help businesses to detect insider threats and other malicious activity.
· AI-powered security orchestration, automation, and response platforms can automate many manual security tasks, such as incident response and security monitoring. This can free up security teams to focus on more strategic initiatives and reduce the overall cost of cybersecurity.
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In the last couple of years, there have been distributed denial of service (DDoS) attacks on airports and air traffic control centers and ransomware attacks on seaports, city municipalities, police departments and more.
AI-based cybersecurity is a rapidly evolving field, and new applications are emerging all the time. As AI technology continues to develop, it is likely that AI will play an even greater role in helping businesses to strengthen their security posture and protect against cyber-attacks.
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