25 Sep 2022| Cloud Based Technology & Micro Services
Artificial Intelligence in Cybersecurity
The world is developing at an unprecedentedly fast pace, and the changes are taking place even faster. The word digitalization implies everything is moving at lightning speed, including trends, businesses, and new products. Consumer interests are served almost instantly with various means available to the service providers to deliver them.
With digital evolution in all spheres of life, the threat to cybersecurity increases with each passing day. These days cybercriminals are making use of cutting-edge technologies to create cyber attacks on large organizations or corporations.
Earlier, traditional tools such as anti-virus software, firewalls, web proxies, etc, were used by organizations for security. However, with digitalization, there has been a dynamic shift in the cyber threat landscape, reducing these traditional security network tools’ effectiveness.
Many companies these days are using Artificial Intelligence (AI) and Machine Learning (ML) tools to prevent the growing number of attacks on networks. With the world moving towards technologies like the Internet of things and connected devices, AI’s deployment is crucial for cybersecurity firms to analyze massive amounts of data to save networks from infiltration efforts.
AI ideally solves some of the most challenging problems, including cybersecurity problems. With the increasing proliferation of devices and cyber attacks, Machine learning and Artificial Intelligence can help automate threat detection and respond efficiently compared to traditional cybersecurity tools.
An AI-based self-learning cybersecurity management system can solve many challenges that pose a threat to network security.
Many technologies are available to train a self-learning system to independently and continuously gather data from enterprise information systems. This gathered data is analyzed and used to perform the correlation of patterns across various signals relevant to the enterprise attack surface.
The effective integration of AI- technology into your existing cybersecurity systems helps you create more accurate login techniques based on bio-metrics, detect threats and malicious activities using detective analytics, secure conditional access, and authentication, and enhance learning and analysis with natural language processing.
Once AI is integrated into cybersecurity solutions, IT security employees and cybersecurity analysts should know how to use it effectively. The use of AI can be a huge boon to protect your organizations digital security. Many leading companies like Google, Fireye, Crowdstrike, IBM, and Juniper networks have already integrated AI security tools into their cybersecurity systems.
However, it is not sufficient to introduce AI tools for a cybersecurity purpose. It is equally essential for organizations to continually monitor and understand loopholes in the security systems as hackers are becoming sophisticated daily. For this purpose, few organizations are hiring ethical hackers and are turning towards crowd-sourced security measures to identify loopholes in their security systems.
No matter how advanced and efficient AI technology is, there are also few drawbacks and limitations that prevent Artificial Intelligence from becoming a mainstream security tool:
Artificial Intelligence in cybersecurity comes up with a risk in the form of adversarial AI, which refers to the development of AI for malicious purposes. As AI increasingly moves into a company’s cybersecurity practices, companies need to keep an eye and guard against AI technology’s potential downside.
With the emergence of AI technology in recent years, there is widespread adoption of AI tools into cybersecurity systems, although few risks are involved. Artificial Intelligence (AI) can identify and prioritize risks and instantly spot any malware on the network to guide cybersecurity incident response.
AI enables cybersecurity teams to have powerful human-machine partnerships pushing the boundaries of knowledge and drive cybersecurity in a more significant way.
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Tags: Technology Artificial Intelligence