- Generative AI will revolutionize cybersecurity in connected networks.
- IT experts warn that companies that don't implement AI risk falling behind in cybersecurity.
- This article is part of the 5G and Connectivity Playbook, a series that explores some of the most important technological innovations of our time.
Generative AI has become a double-edged sword for the security of connected networks.
On the other hand, generative AI accelerates cybersecurity issues, making identity attacks easier and cheaper for malicious parties. For example, it can be used to design sophisticated phishing campaigns by generating audio, images, or videos to create fake identities.
While hackers are exploiting AI technology, businesses are deploying AI as a defensive tool. As the number of connected devices on 5G networks increases, generative AI will become even more important in security operations, said David Cooper, global lead for Accenture Security.
“What used to take a human two hours to do can now be done in much less time with an AI solution,” Cooper said. “We can react faster, and with interesting transformational technologies we can catch up with the bad guys faster. We can move faster and do more with limited resources. can.”
Business Insider spoke to several cybersecurity experts who attended the annual RSA conference in San Francisco this week about how the use of generated AI is increasing in cybersecurity for 5G devices and networks. Ta. They said that while 5G networks have higher security standards, attacks can still occur from compromised identities of accounts and devices connected to those networks.
“The more you can get ahead of the risks you recognize when implementing a 5G solution, the better off you’ll be,” said Sean McCalmont, president and CEO of Ninjio, a cybersecurity awareness training company.
Accelerating cybersecurity
Generative AI can help speed up more routine security processes, freeing up resources, increasing productivity for cybersecurity professionals, and speeding decision-making. Automate the design and architecture of 5G applications, generate code samples, perform tests, accelerate certification, and more. It can also help prevent attacks by helping you configure and manage your network.
“There are clear benefits for organizations that can leverage AI to improve network quality, improve security, and remediate networks,” said Chris Novak, senior director of cybersecurity consulting at Verizon Business. “With AI, you have the potential to analyze network traffic flows in real time, know where problems are, and ensure they have little or no impact on network users.”
AI will also help 5G users monitor security and ensure that the services they connect to have proper authentication and authorization to transfer data.
Large-scale language models can help mitigate security threats by identifying suspicious patterns in traffic and anomalous network intrusion attempts. AI can process vast amounts of data about malicious threats, helping to isolate them before they spread further. Additionally, you can prioritize malware and other threats, understand complex attack path data, and automate threat responses.
David Aviv, Radware's chief technology officer, said AI-powered edge protection tools can be a “first layer of defense” that can handle large amounts of data.
“Competitors that didn't adopt these machine learning techniques were left behind,” said Steve Wilson, chief product officer at network security company Exabeam.
Powering AI with 5G
5G will also enhance the capabilities of AI applications themselves. With 5G, AI will be able to perform more computation and sensor analysis at the edge. This means that the calculations are closer to the data source.
“The combination of AI and 5G will make it inevitable to use machines for tasks currently performed by humans,” said Ev Kontsevoy, co-founder and CEO of Teleport, an identity access and management software company. says.
Rohit Ghai, CEO of RSA, said it is becoming increasingly important for companies to apply AI to their cybersecurity practices as humans cannot keep up.
“Any 5G network is very dynamic,” Guy said. “It's always changing. Human approaches to ensuring security can't keep up with the dynamic nature of networks.”
As mobile and Internet of Things devices become more prevalent, they use even more data, and generative AI can help filter and protect this data.
“We will be required to collect orders of magnitude more data from more devices and analyze it quickly,” Wilson said.