Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

February 2024

AI, Advanced Analytics, & Cloud Migration: Top Trends in Data Modernization

Let’s dive into a world where data isn’t just growing — it’s exploding — setting the stage for an AI-driven future that’s as exciting as the next sci-fi blockbuster. With innovations like ChatGPT and Neuralink pushing the boundaries of what’s possible, we’re on the precipice of a data revolution.
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Quantum computing: The data security conundrum

One of the biggest challenges of digital technology today is around security systems and data. In response to this, sophisticated algorithms have been designed to encrypt data and protect it through frameworks known as symmetric cryptography. While this has proven successful, advancements in quantum computing - which utilises quantum mechanics to solve complex problems faster than conventional computers - could potentially turn data security on its head.

Data Modernisation in Telecom: From Reactive Protection to Proactive Opportunity

In our last blog, we discussed the many challenges faced by telecom organisations in this ever-changing regulatory and technical landscape. While it is clear to see the challenges the industry faces in this digital world, there’s also a unique opportunity to solve the many problems that hold them back.

Balancing Data Privacy, Regulations and Revenue in Telecom

The need to find the balance between providing a unique and tailored customer experience, ensuring data privacy, and adhering to market regulations has become more critical than ever for Communications Service Providers (CSPs). In a world where customers are more demanding, regulations are more stringent, and attacks are more sophisticated, it’s easy to see how telecom organisations deem balancing act challenging.