Important to understand how to stop

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While it's the spread of malware that has emerged on the wave of interest in cryptocurrency mining, security experts also need to be proactive—customers are unlikely to appreciate their servers becoming command nodes for ransomware.

Five Security Truths That Have Standed the Test of Time
Alex Sidorov | 02/19/2018
For the past three decades, data security professionals have been in a race against the cavalry attacks of the 1990s and early 2000s, then against hacktivists and profiteers, and now against increasingly dangerous campaigns targeting governments, businesses, and public infrastructure, writes Chris Preimsberger at eWEEK.

All of these threats have evolved and improved, as have netherlands whatsapp data security requirements. Plus, many new technologies have emerged—from antivirus, firewalls, data loss prevention, log analysis, and next-However, there are some fundamental security requirements that have stood the test of time. Security software and services provider Optiv identifies five such maxims.

The “throw money at the problem” approach doesn’t work. For years, companies have been fighting malware and sophisticated cybercriminals by reacting to their actions. They respond to new challenges and regulatory demands in the same spirit: buying new technology, hiring new people, creating new templates. This approach has created a crisis of corporate security. Workers don’t know what assets they have, infrastructures are bloated and unmanageable.

This strategy not only wastes money, it also turns the IT infrastructure into a collection of uncoordinated, ad hoc solutions. In many cases, companies think they have a solid foundation, when in fact there are cracks that allow cybercriminals to sneak in. More spending does not always lead to fewer incidents.

generation SIEM to threat intelligence. Each promises to solve our cybersecurity problems.

Over the years, we have seen the rise and fall of various approaches to security—basic client-server schemes, as well as network-centric, server-centric, task-centric, cloud-centric, file-centric, or even block-centric approaches.