It’s the key for billons 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
- targeting your vendors or your servers. To get the movies and TV shows before they’re released and
- betting that your vendors have a weak network security. That allows them to steal and hold your content for ransom.
- 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.
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?
- 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.
Kadakia, Smit. “So, How Does Machine Learning Apply to Cyber Security?” ITSP Magazine (https://itspmagazine.com/from-the-newsroom/so-how-does-machine-learning-apply-to-cyber-security)
Ng, David, Ryan Faughnder and Paresh Dave. “Cyberattacks once again roil Hollywood but can anything be done about it?” http://www.latimes.com/business/hollywood/la-fi-ct-hacking-disney-netflix-20170523-story.html May 23rd, 2017
Oggel, Peter. “Mastering security to transform your media business.” (https://v-net.tv/2017/07/13/mastering-security-to-transform-your-media-business/), July 13, 2017
\Suciu, Peter. “OTT. The Challenges of Infrastructure: ‘Quality of Service’ not guaranteed.”TV Technology (http://www.tvtechnology.com/resources/0006/ott-the-challenges-of-infrastructure/281371), July 21, 2017
Thomas, Brian E. “Why AI is crucial to cyber security.” http://www.cio.com/article/3201147/cyber-attacks-espionage/why-ai-is-crucial-to-cyber-security.html June 16, 2017
Tribbey, Chris. “Deep Inside The Internet Backbone.” (http://www.broadcastingcable.com/news/technology/deep-inside-internet-backbone/167181#.WW-tYB0Xi00.twitter), July 17th, 2017
Vogel, Beth. “How Does Your Digital Transformation Effort Stack Up” https://blog.box.com/blog/how-does-your-digital-transformation-effort-stack/ May 3, 2017
Wong, Steve. “Hacking Hollywood: How Safe Is Your Data?” http://www.mesalliance.org/wp-content/uploads/2017/04/Hacking-Hollywood-How-Safe-Is-Your-Data-SW-04-24-2017.pdf