EMA Research Blog: Navigating IT and Security Horizons

In 2024, we will continue to see globally significant advancements in information security and regulatory compliance spending for organizations of all sizes. From zero trust architecture to the integration of AI-driven solutions and the growing emphasis on regulatory alignment, 2024 will redefine how organizations safeguard sensitive information, navigate compliance complexities, and fortify their API ecosystems. Understanding and adapting to these transformative trends will be pivotal for businesses aiming to stay resilient, secure, and compliant in a time noted for rapid technological advancements and stringent regulatory landscapes. Here are our predictions for information security in 2024.

The Black Hat Europe 2023 conference, a gathering of cybersecurity professionals and experts, delved into the intricate world of cybersecurity, exploring emerging threats, innovative defense strategies, and the pressing need for collaboration between the private sector and government entities. Here's a breakdown of the key takeaways and highlights from a few of the conference sessions.

Every year, technology enthusiasts and industry leaders gather at the serene Rocky Gap in Western Maryland for Tech at the Gap, an event that has earned the reputation of being one of the hidden gems of Maryland's tech conference scene. This year, the conference's theme, "Decoding Intelligence," promised to unveil the mysteries behind artificial intelligence and its transformative potential. With an impressive lineup of keynote speakers and breakout presenters, the event did not disappoint.

Recently, I had the opportunity to attend Informatica World 2022 (IW22) in Las Vegas. Returning to the in-person conference scene caused some apprehension; however, reflecting on takeaways and engaging in discussions around data integration made this trip a worthwhile experience. I want to thank IW22 for a thought-provoking week of discussions centered on data management, data integration, interoperability, artificial intelligence, and navigating a complex, hybrid, multi-cloud digital environment with Informatica experts, sponsors, and customers.

What should machine and artificial intelligence (ML/AI) do for IT operations, DevOps and container management? The following table represents my quick outline of the key challenges and specific problem ML/AI needs to address. The table is based on the believe that ML/AI needs to look over the shoulder of IT ops, DevOps, and business management teams to learn from their decision making. In other words, every virtualization administrator fulfills infrastructure provisioning or upgrade requests a little bit differently. Please regard the below table as a preliminary outline and basis for discussion. At this point, and probably at no future point either, I won't claim to know the 'ultimate truth.'