In the 21^st century, Zephyr Networks has found that the complexities of digital business in an algorithmic economy have significantly increase the dangers faced by companies across the board. After all, what business is not a digital business with an online presence to at least a certain extent in 2016? As the hacker industry becomes an emergent reality, every digital business is vulnerable with size, geography and industry no longer being the main determinate risk factors. While most companies rely on perimeter defense and rule-based security, such an old-fashioned approach to cybersecurity is no longer adequate.

Digital Business = Cybersecurity Priority

Given the evolution into cloud-based services, your company needs the support that allows threats to be both detected and responded to in real time. Beyond blocking and other past measures to prevent attacks, you need to realize that cybersecurity includes an intrinsic approach to dealing with threats that overcome traditional barriers. The new adaptive security architecture offered by Zephyr Networks evolves and grows to meet emerging threats.

Today’s hackers are now using negative machine learning. Machine learning is a field of computer science that leverages pattern recognition algorithms. Negative machine learning is when this technology is employed for malicious purposes. In 2016, hackers will use negative machine learning more broadly. As a result, positive machine learning needs to be employed to keep up with and even pre-empt sophisticated cyber attacks. Although positive machine learning has been a part of all cybersecurity options for years, only now is it being adapted to respond to negative machine learning.

Machine Learning And Digital Business

As Hackers broaden their targeting and expand their range beyond the specific, cyber targets have significantly increased. No longer will your company be specifically targeted. Rather, the cyber vulnerabilities of your company will turn your business into a target, regardless of size, industry or geography. If there is an opening found, the hackers will take advantage of it.

As data becomes more contextually rich, it becomes more valuable to cybercriminals once it is shown to be vulnerable. Suddenly, the context is not as important as the opportunity. The growing risk of attack will require next-generation techniques for cybersecurity, including improvements in identity access management and now information management.

Even more importantly, public clouds need security system architectures that protect the private companies operating within this matrix. Acceptable risk levels and controls radically shift once a private company with context-rich intellectual property and proprietary information becomes part of a public cloud. Zephyr Networks has designed protocols and strategies to address such issues while also offering private cloud access.

Positive Machine Learning For Your Digital Business

Although positive machine learning algorithms have been used by security applications for years with varying success, big data analytics in the cloud is changing the potential effectiveness of these applications. Since Zephyr Networks runs our own data centers, managing a private cloud for our clients, we help ensure safety beyond the dangers of the public cloud. Our goal is to help make sure your company is protected from hackers. By working with Zephyr Networks, you can make cybersecurity a priority in 2016.