Can Artificial Intelligence (AI) Protect Your Content from Hackers?

The Internet.

It’s the key for billions of people to watch your show.

If you’re using a secure cloud technology, someone will try to steal your content.

The problem? Hackers are

  1. targeting your vendors or your servers. To get the movies and TV shows before they’re released and
  2. betting that your vendors have a weak network security. That allows them to steal and hold your content for ransom.

Your goals?


  • disrupt attacks before they occur
  • manage risk and compliance issues and
  • make better use your security resources.

From an anti-piracy point of view, you can use the best technologies to guard your content at every step of the creative process. But these innocent devices will be used to hack your server:

  • bonded cell/wifi camera backs
  • smart phones on set
  • USB stick and
  • personal information on remote productions.

Keep in mind that not all your customers have the same content security needs.

The system must be flexible to work with customer’s needs without having to create a customized solution for each one.

And you’ll need an integrated analysis, a powerful user insights into what people are watching.

One solution?

You could use a premium security to protect your content, like white box cryptography. Or watermarking.

Or use an audience detection per view transaction company. That bridges the gap between the theatrical release and streaming services. For example, companies such as XCinex offers a per viewer ticketing model. Everyone in the room must have a ticket as if they’re going to a movie or concert. No ticket? No show.

But have you considered how artificial intelligence (AI) can help you?

By using

  • machine learning (ML) to analyze data to protect your IT systems. Machine learning can help you to identify the weak network elements or hosts where malware can exploit the weakness in the network. While scanning the network to identify and eliminate false positives and
  • behavior analytics. Instead of using a learned behavior approach (pre-learn or dynamic learning) over a period of time, AI can analyze network, application and user behavior to identify problems to prevent attacks.

Detecting threats to your servers is the main focus of AI and machine learning’s technology push.

Machine learning, advanced analytics and cutting edge technology will help companies track the data from their networks and Internet.

Big data will help you stay one step ahead of the hackers.

Before they can steal your content.

End Notes

Kadakia, Smit. “So, How Does Machine Learning Apply to Cyber Security?” ITSP Magazine (

Ng, David, Ryan Faughnder and Paresh Dave. “Cyberattacks once again roil Hollywood but can anything be done about it?” May 23rd, 2017

Oggel, Peter. “Mastering security to transform your media business.” (, July 13, 2017

\Suciu, Peter. “OTT. The Challenges of Infrastructure: ‘Quality of Service’ not guaranteed.”TV Technology (, July 21, 2017

Thomas, Brian E. “Why AI is crucial to cyber security.” June 16, 2017

Tribbey, Chris. “Deep Inside The Internet Backbone.” (, July 17th, 2017

Vogel, Beth. “How Does Your Digital Transformation Effort Stack Up” May 3, 2017

Wong, Steve. “Hacking Hollywood: How Safe Is Your Data?”




Published by Nick, aka, Research Guru

My real name is Nick but my clients call me the Research Guru. Why? Because I love researching and finding information. And they’re literally amazed when I find the information for them. I love analyzing how technology influences the media and entertainment world. Because the media and entertainment industry is constantly changing. And technology is playing a big role in changing it (from CD’s to live-streaming). Finally, I love coffee, going to the gym/working out and anything to do with athletic leisure clothing (I’m a big Lululemon fan). P.S. If you need to follow me on social media: Twitter: @nickhtang Instagram: @the_information_guru