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TECHNOLOGY

WordPress Now Offers Website Development

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WordPress Now Offers Website Development

The commercial arm of WordPress announced they were entering the website building business. The announcement was generally not well received by the WordPress web development community. Many softened their response and saw opportunity as more information became available.

WordPress Business

People think of WordPress as the company that develops the open source content management system (CMS) called WordPress. But WordPress is more than the open source development community hosted on WordPress.org.

There is also a for profit site that’s hosted on the WordPress.com domain that offers website hosting and domain name registration, among other related services.

The WordPress.com business is a part of a larger collection of WordPress related businesses that are under the Automattic umbrella.

Sister sites run by Automattic include WooCommerce, Gravatar, Jetpack and Akismet, among other businesses.

Automattic’s slogan is:

“We don’t make software for free, we make it for freedom.”

Built By WordPress

The WordPress ecosystem has thrived because web developers and programmers contributed to building and testing the open source WordPress CMS and in return they have a great software for offering web design services, plugins and themes.

But now the WordPress brand is being used to sell web development, which is a step beyond offering plugins or hosting.

The service is called Built By WordPress.

According to the official web page:

“Whether you need a fast and performant eCommerce store for your products and/or services, a polished website for your professional services firm, or an educational website for your online courses, our experts can build it for you on WordPress.com…”

Website Building Plans

The Built By WordPress site offers three kinds of “website building plans” that are focused on three kinds of sites.

  • Online Stores
  • Educational Sites
  • Professional Services

That covers eCommerce, online courses, educational sites, and professional services websites. That last category, professional services websites may be local brick and mortar sites like a yoga studio or a moving company.

The landing page states that an “engagement manager” is assigned to the website building project that serves as the point person.

The cost of the websites starts at $4,900. But oddly, the offering is offered at a limited capacity.

According to the site:

“Custom websites starting at $4,900, but space is currently limited as we launch this new service.”

Web Development Community Responds

An important issue raised in the community is the perception that the web development community helped create WordPress. For WordPress to turn around and begin competing against them is like using their own work against them.

One person tweeted:

“See Automattic’s business model has changed. Feel for the developers this will affect. While WordPress built wordpress[dot]com platform and manage the project, it is the unpaid dev community that made it and gave it the rep they market and capitalize on.”

Someone else compared Automattic and WordPress to Amazon and how Amazon created their own products to compete against the retailers selling on their platform.

The other issue is the perception that the goodwill of the open source WordPress.org project domain name is exploited by Automattic through the use of the WordPress brand, potentially confusing consumers who might not know that WordPress.com is different from WordPress.org.

Matt Mullenweg, founder of WordPress stated that this product is meant to compete with the companies like Squarespace, where people on the entry level of creating an online business might turn to.

The goal then is to keep new businesses within the WordPress ecosystem as opposed to buying into the Wix and Squarespace markets where there is no market at all for WordPress developers.

Others were looking on the bright side of the announcement to see if WordPress.com would open the program up to white label work by trusted agencies. Matt indicated he was open to that.

The entire community wasn’t against the development. Some commented that this did not represent a head-on competition with the WordPress development community, as it was more about competing against companies like Wix and keeping more of the Internet within the WordPress ecosystem.

Citations

Blog Announcement
Let Our Experts Build Your Dream Website

Official Built By WordPress Page
Built By WordPress

Searchenginejournal.com

TECHNOLOGY

How Deep Learning Has Proved to Be Useful for Cyber Security

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How Deep Learning Has Proved to Be Useful for Cyber Security


The threat of cyber attacks has recently increased dramatically and traditional measures now appear to be insufficiently competent.

Because of this, deep learning in cyber security is rapidly gaining ground and may hold the key to solving all your cybersecurity issues.

With the advent of technology, there is also an increase in threats to data security and the need to protect an organization’s operations using cybersecurity tools. However, companies are struggling due to most cybersecurity tools being dependent. They rely on signatures or evidence of compromise for the threat detection capabilities of the technologies they use to safeguard their business. Because they are only useful for identifying risks they are already aware of, these technologies are useless against unknown attacks. Here is where deep learning in cyber security can alter the course of events. Deep learning, a branch of machine learning, is excellent at using data analysis to address issues. By subjecting the deep neural network to a vast quantity of data, which no other machine learning in the world can handle, digest, and crunch, we are mimicking the brain and how we operate.

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The cyber security industry is facing numerous challenges and deep learning technology might just be its salvation.

Behavior Analysis

An essential deep learning-based security strategy for any firm is tracking and examining user activities and habits. Since it goes beyond security mechanisms and sometimes doesn’t trigger any signals or alerts, it is substantially harder to spot than conventional malevolent behavior against networks. For instance, insider attacks happen when employees utilize their legitimate access for nefarious purposes rather than breaking into the system from the outside, making many cyber protection systems ineffective in the face of such attacks.

 

One effective defense against these attacks is User and Entity Behavior Analytics (UEBA). After a period of adjustment, it can learn the typical patterns of employee behavior and identify suspicious activity that may be an insider attack, such as accessing the system at odd hours, and then raise alarms.

Detection of Intrusion

Intrusion Detection and Prevention Systems (IDS/IPS) are capable of identifying suspicious network activity, blocking hackers from gaining access, and notifying the user about the same. They are generally characterized by well-known signatures and common attack formats. This is helpful in defending against risks like data leaks.
Previously, ML algorithms handled this operation. However, the system generated several false positives as a result of these algorithms, which made the work of security teams laborious and added to their already excessive exhaustion. By more accurately analyzing the traffic, lowering the number of erroneous alerts, and assisting security teams in differentiating between malicious and lawful network activity, deep learning, convolutional neural networks and recurrent neural networks (RNNs) can be used to develop smarter ID/IP systems.

Dealing with Malware

A signature-based detection technique is used by conventional malware solutions like typical firewalls to find malware. The business maintains a database of known risks, which is regularly updated to include brand-new dangers that have recently emerged. Although this method is effective against basic threats, it fails to counter more sophisticated threats. Deep learning algorithms can identify more complicated threats since they are not dependent on the memory of well-known signatures and typical attack techniques. Instead, they become familiar with the system and can see odd behavior that can be a sign of malware or malicious activity.

Email Monitoring

To stop any form of cybercrime, it is essential to monitor the employees’ official email accounts. For instance, phishing attacks are frequently carried out by sending emails to employees and requesting sensitive information from them. Deep learning and cybersecurity software can be used to prevent these kinds of attacks. Using natural language processing, emails may be checked for any questionable activity. Automation is essential for defending against the enormous amount of risks that businesses must deal with, but ordinary machine learning is too constrained and still needs a lot of tweaking and human involvement to produce the desired outcomes. Deep learning in cyber security goes above and beyond to keep improving and learning over time so that it can foresee hazards and stop them before they materialize.



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