Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Businesses generate vast amounts of unstructured data daily. Securing this data is essential to prevent breaches, ensure compliance, and maintain business integrity. Unstructured data protection requires different strategies for on-premises and cloud environments. Strong security measures help organizations safeguard sensitive information, minimize risks, and prevent unauthorized access. Businesses face data leaks, regulatory fines, reputational damage, and financial losses without proper security.

Welcome to our Data Security Innovators series, where we talk to security practitioners who are navigating the frontiers of security with novel processes and technologies. In this episode, we speak to Kheun Chan, Principal Security Architect at Iron Mountain. Iron Mountain is renowned as one of the world’s best secure information storage and management services, with 95% of the Fortune 1000 as customers of the company.

In the 21st century, the lifeblood of several multi-billion dollar corporations is the data of their users they possess and how they go upon it, whether it be including new policies benefitting the users of their platform, or finding more aspects of data they can take to their advantage to increase their profit margins ever so slightly? All of the above requires data in the baseline.

The AI revolution that kicked into overdrive last year has taken the world by storm, and as the development and productization of Large Language Models and other AI technologies continue – the revolution shows no signs of slowing down.

In this day and age, data runs the world and the livelihood of many companies. Data has become so integral that there are many people who pay top dollar to read this data and make insights which will increase their profits by a huge amount. There are courses provided to study and understand the behemoth that is data. While it is lucrative, its sensitive content is also subject to misuse in the wrong hands.

Today’s cybersecurity landscape poses one of the most significant risks to data. This holds true for organizations of all sizes, across all industries, tasked with protecting their most essential data amid an increasingly regulated environment and faster, more innovative adversaries. Recent years have introduced a steady drumbeat of new data privacy regulations. There are now 14 U.S. states that have passed privacy laws.