Understanding network traffic helps network

[rakhirhif8963]

Artificial Intelligence at the Cutting Edge
AI can analyze network traffic using deep packet inspection (DPI) at a speed that human analysts simply cannot match. “AI can quickly process large amounts of data to identify both external and internal threats,” Nair explains. “Since network data tends to be particularly voluminous, AI plays a key role in this use case.”

managers identify threats. “It allows you to manage the type of traffic that flows through your network,” Nair says. “For example, a cloud access security broker (CASB) allows you to understand whether traffic is going to high-risk SaaS applications or whether there is a data breach.” Meanwhile, AI-powered micro-segmentation tools make it easy to make changes to your network quickly.

More and more security and networking vendors are incorporating AI into their products to provide anomaly and threat detection capabilities. Enterprises should take advantage of these capabilities, advises Heren. “For a holistic solution, organizations should also consider independent AI tools that can integrate across multiple vendors, network layers, and segments,” he adds.

Integrated solution
AI-powered network detection and response (NDR) solutions are bosnia and herzegovina mobile database useful because they can detect malware, stealth attacks, and anomalies in networks, Nair says. When combined with security event management (SIEM) and orchestration, automation, and response (SOAR), an NDR system can be part of an integrated AI-powered solution that not only detects attacks but also enables automated responses to them.

Dynamic micro-segmentation is critical to containing cyberattacks by preventing attackers from moving laterally, says Nair. “CASBs can use network AI to gain visibility and control over data and users in cloud applications,” she explains. “This way, you can gain insight into who is using which SaaS application, and whether that application is high-risk or not sanctioned by the organization.”

How to Get Started with AI-Powered Network Security
The best way to get started with AI-powered network security is to use the technology in addition to existing tools and processes. “AI takes time and a lot of data to become effective, and engineers need to refine and validate AI models before an organization can be confident in the accuracy of the analytics,” Herren says.