In the ever-evolving landscape of networking, there are a plethora of three-letter acronyms that make up the wonderful alphabet soup that is a part of every engineer’s vocabulary. Whether it’s TCP, UDP, SSH, or one of the many other dozens, one acronym is commonly left out of the discussion: DDI. These seemingly simple letters are often overlooked or rarely thought of, but they are a crucial foundation for managing a stable, secure, and efficient network.

Artificial Intelligence (AI) tools have the potential to revolutionize IT infrastructure and operations (ITOps) by automating routine tasks, enhancing system reliability, and improving efficiency. However, the term “Artificial Intelligence” can sometimes be misleading in this context. A more accurate description might be “Automated Intelligence” because these tools often automate predefined tasks and processes rather than exhibit true cognitive intelligence.

In the rapidly evolving landscape of cybersecurity, AI-powered attackers are becoming increasingly sophisticated. To counter these threats, organizations must adopt advanced security technologies that leverage AI technology as part of a multi-layered approach to security.

In the ever-evolving landscape of cybersecurity, the year 2024 presents unprecedented challenges and opportunities. As organizations continue to embrace digital transformation, the need for robust security measures has never been more critical. New and emerging threats posed by Generative AI, Unsecured API integrations, agile cloud environments, and easy access to sophisticated nefarious code creation are driving the increase in the frequency, volume, and success rate for cybercriminals.

Let’s set the table a bit. As you know, in the U.S., Thanksgiving is coming up. And recently I had a conversation with my 83-year-old mother about Thanksgiving. Of course, we came across the inevitable parallels between Thanksgiving dinner and network security! That’s what you would be thinking when talking about Thanksgiving dinner with someone right? Before we dive into the feast, let me set the table.

As technology professionals, we must consider the evolution of security and its connection to literature, such as George Orwell’s “1984” and Aldous Huxley’s “Brave New World.” The digital threats we face are often unseen, lying dormant until they can be weaponized for both good and evil purposes. Advancements in machine learning and algorithms have revolutionized data analysis, allowing us to observe and analyze behavioral patterns both online and offline.

Running a hybrid network requires a deep understanding of how data is transmitted, received, and processed, as well as knowledge of different hardware, software, and security protocols. Additionally, as technology evolves, new challenges and considerations arise, such as the integration of IoT devices, SaaS, containers, and the increasing importance of cybersecurity. Overall, computer networking is a constantly evolving field that requires ongoing learning and adaptation.

In today’s digital landscape, the aviation industry faces increasingly sophisticated cyber threats that can compromise the safety and security of critical systems. To combat these challenges, the Transportation Security Administration (TSA) has implemented new cybersecurity requirements. In this blog post, we’ll explore how Teneo, in collaboration with Akamai Guardicore, can help aviation organizations meet these requirements and strengthen their cybersecurity defenses.

Artificial Intelligence (AI) is the current buzz word in IT with AI promoted as the magic ingredient for improving business performance across a wide range of areas. But how, specifically, does AI enhance Network Management? The idea that computers can manage themselves is nothing new.