Cyber threats are more sophisticated, pervasive, and frequent than ever before. As a result, traditional methods for network security are becoming obsolete. These solutions simply cannot handle the extraordinary scale and complexity of network traffic inherent in modern IT environments. AI-driven solutions, however, can. How to Use AI for Network Security Modern networks generate a massive amount of data. Login attempts, device connections, data transfers, application access logs, and other such events contribute to massively complex environments. With so many events occurring simultaneously…
No tags for this post.
Understanding AI in Network Security
Recent Posts
- CVE-2025-21630 – Linux Kernel: io_uring: Uninitialized Message Queue Inquire
- CVE-2025-21629 – “Linux Net IF – IPv6 extension header offload vulnerability”
- CVE-2024-5198 – OpenVPN for Windows DLL Injection Null Pointer Dereference
- CVE-2024-57903 – Linux kernel SO_REUSEPORT Inet Socket Restriction Comic Book Bug
- CVE-2024-57902 – Linux Kernel af_packet: VLAN Get TCI Vulnerability