The digital business environment brings huge opportunities, but also brings data leakage risks for important business data assets. These data are an important part of decision-making, sustainable operations, market competitiveness and regulatory compliance.
As business data contains so much value, threats and attacks against the "crown jewel" of enterprises have become more complex and targeted. Companies must provide adequate data protection for data security measures to ensure intellectual capital, reduce risks, prevent attacks and comply with requirements.
Companies that fail to make data protection the focus of their daily work face the risk of losing funds, losing business, and destroying reputation. Unlike traditional jewelry that is securely locked in a safe on the crown, the value of key data is realized through access and exchange.
Taking into account the cultural driving factors of information security risks, how can organizations more effectively deal with today's cyber threats? Data security requires a computational, integral and dynamic combination of business processes and technologies. Critical data usually exists across multiple business lines and must be processed by multiple businesses together.
In addition to the professional skills and knowledge of the IT security team, the critical data security program also contains the needs and perspectives of other business departments, including marketing, sales, finance and supply chain business, from the most valuable identification and classification of data to the survival of the enterprise Vital.
When it comes to data security, companies often set their own barriers from being IT-centric to avoiding risks. To make matters worse, companies equate compliance with security. The following are three basic issues that companies should understand in detail when considering adequate data security:
Where is it stored?
Who uses it?
How to protect it?
Critical data is usually fluid, reflecting the data life cycle-creation, storage, consumption or destruction. The key data protection strategy is data-centric and does not rely on the latest security implementations to protect the crown jewel. As mobile, big data, social media, cloud computing, and virtual computing make the data environment more complex, this is a holistic perspective on data risk, which can be used for everything from trusted insiders, cybercriminals to competitors The threat was well thought out. An effective critical data protection program must regard data-centric security as the core model to combat ever-changing data threats.
This article is reproduced from snow beast software
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