Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In today’s digital age, online security has become a major concern for businesses of all sizes. With the increasing number of cyber-attacks and data breaches, it is crucial that organizations take measures to protect their sensitive information from falling into the wrong hands. This is where SSL/TLS certificates come in handy as they provide encryption and authentication to ensure secure communication between servers and clients.

In 1999, a far-fetched movie about a dystopia run by intelligent machines captured our imaginations (and to this day, remains my favorite film). Twenty-four years later, the line between fact and fiction has all but vanished and the blockbuster hits much differently. Are we entering the Matrix? Are we already in it? Can anyone be sure?

Digital and cloud transformation has unlocked new business opportunities and operational efficiencies for organisations. But migration to the cloud also means our approach to deploying applications and services has radically changed, as enterprises move away from traditional data centres. Likewise, flexible working means users have also moved away from traditional offices and branches.

IoT Device Management (IDM) is a software platform that helps businesses manage their IoT devices, from identifying and tracking assets to automating operations. IDM features a wide range of features to help businesses manage their IoT devices. IoT device management platforms allow you to remotely control, monitor and update your entire fleet of IoT devices at scale.

Security AI usage has surged, and enterprises are reaping the benefits. In its 2022 Cost of a Data Breach Report, IBM found that organizations deploying security AI and automation incurred $3.05 million less on average in breach costs – the biggest cost saver found in the study. According to the study, organizations using security AI and automation detected and contained breaches faster. However, while leveraging AI clearly makes a difference, organizations must implement the right architecture.

It's no surprise that organizations are moving to the cloud to innovate — to meet the growing demands of their customers and digital transformation. Organizations want to build applications that are fast and scalable. They want to make use of the latest cloud-native capabilities like containers, orchestrators, microservices, APIs, and declarative infrastructure. However, this also means security in the cloud cannot be an afterthought.

Artificial intelligence has arguably overstayed its welcome as a buzzword in the technology realm, leading to debates around the efficacy of the tool and definition of the term for the better part of two decades. But in the world of cybersecurity, businesses are just beginning to reap the benefits of advanced machine learning models that can actually keep up with ever-changing threats from cybercriminals with nothing but time on their hands to break algorithm-based defenses.

The advent of connected devices has brought about significant change in the technology industry. We all accept that data is power – the more we know about our devices and users, the more effectively we can serve their needs. The integration of connected devices has transformed several industries, including healthcare, transportation, and manufacturing.

This MIT Technology Review headline caught my eye, and I think you understand why. They described a new type of exploit called prompt injection. Melissa Heikkilä wrote: "I just published a story that sets out some of the ways AI language models can be misused. I have some bad news: It’s stupidly easy, it requires no programming skills, and there are no known fixes.

The efficiency, security, and scalability of cloud operations are driving financial institutions’ adoption of the technology faster than ever before. The ability to meet customers where they want to transact, personalize solutions, and leverage new data and analytics solutions (including AI) on-demand is driving this growth. In fact, according to Accenture, the banking industry's workloads in the cloud more than doubled from 2021 to 2022.