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Beyond the legal and ethical considerations, account sharing poses a substantial business challenge for service providers. It affects revenue generation and the ability to measure viewership data for content valuation and advertising purposes. It becomes imperative for service providers to address this issue promptly.

Monitoring user behavior and activity can provide valuable insights into potential password sharing incidents. By employing advanced analytics tools, service providers can detect unusual usage patterns and identify accounts that may be shared without authorization.

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Although these legacy technologies are gradually becoming outdated and will eventually need to be replaced, they’re still forming a considerable part of the content protection technology stack of traditional pay-TV operators, and maintaining backwards compatibility is important. Thus there is a need to support both traditional broadcast services and OTT services.

It had been standard practice for STBs to be locked down by specific CAS vendor technology. The optimal scenario is a unified content protection technology that can cater to all broadcasters. Such a scenario lets the consumers make that choice as they purchase a smart TV and select a service provider with just a click of the remote. No more waiting for a cable operator to ship a box and or send a support engineer to install it. 

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Golden age of streaming service providers also must contend with the fragmentation within the generations of operating systems. This is especially challenging when it comes to dealing with Android devices, which in the smartphone sector accounts for 87% of the global user base according to International Data Corporation (IDC). 

Since then sports programming has become a part of leading OTT TV service bundles worldwide, drawing ever larger audiences to online consumption. For example, Amazon has launched live streaming of Thursday Night NFL Football, Premier League Soccer, and other high-profile events.

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To provide for the considerable needs of copyright holders and enforcing content licensing agreements, a number of DRM vendors have sprung up. Like any key partnership choice, a major decision facing content providers and OTT streaming operators is which digital rights management vendor can deliver the best DRM solution for their specific needs.

If a digital rights management vendors solution can’t provide that kind of accessibility to different kinds of content consumers will rapidly be turned off the platform itself, creating a major business risk for the pay-TV operator.

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Content piracy is so big that its impact is felt beyond the bank account — it’s changing business models. Traditionally in the movie business, new releases often stayed in theaters for months to maximize revenues. As digital downloads, and now streaming, have made it easier for content pirates to obtain and distribute illegal copies.

Unlike pirated TV shows or movies, the value of a sporting event is fleeting, with revenue being lost in a very small window. If stakeholders aren’t fighting piracy in real time and in collaboration with others across the delivery chain, losses can increase rapidly.

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As shown by the scale of loss estimates, piracy ecosystem is a big business that leverages the same advances in streaming, asset management, advertising support, and other components of legitimate OTT operations.

But since older devices don’t support later versions of HDCP, then that could limit the content reach for the streaming service provider, and therefore the latest HDCP versions are not enforced at all times. Therefore, professional pirates rely on HDCP stripper devices to set up their piracy ecosystem operations. Not only can they feed the pirated  content to origin servers for distribution of live streaming, but there is next to no loss in quality compared to the legitimate service. 

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The live sports watermarking world is a direct threat to sports teams’ sponsorship deals. Because sports organisations are unable to include pirated audiences in their audience estimates, the numbers of viewers are grossly under-reported.

The next step is to protect content once it arrives at its intended legitimate destination. To ensure that playback devices are secure, in comes forensic watermarking. Described simply, a video watermark is an embedded overlay that identifies ownership.

Time to detection of content theft can be as little as a few seconds. With current technology, organisations involved in the broadcast of live sports must protect content worldwide, in real time (remember that content thieves act without physical borders).

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The least technically sophisticated approaches that pirates use to get around the robust protection of sophisticated ott drm systems include high-quality camcording from 4K UHD TV displays. Advanced methods, similar to those of professional pirates, include high-bandwidth digital content protection (HDCP) strippers.

Content Encryption Keys (CEK), it is critical that the content packaging workflow and the multi-DRM system are tightly integrated. The content packager needs to retrieve the CEK from a multi-DRM service provider that manages these keys securely.

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All online video watermarking services originate from legitimate sources let alone rights holders. The rapid growth and value of live streaming services has attracted the attention of professional pirates and multi-national crime syndicates.

Illegitimate live OTT sports services have proliferated in many regions reflecting the global demand for streaming services, which has accelerated partly as a result of the pandemic lockdowns combined with the ease of access to such content on all kinds of consumer devices.

While piracy of live sports is nothing new, what has changed is the content distribution technology. With traditional broadcast TV, piracy was initially focused on smart card cloning, or even full set top-box replication, followed by so-called control word sharing.

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Conditional access system (CAS) are used by content providers, such as pay-TV operators, to ensure only those subscriber devices which meet certain conditions can access the protected content.

Conditional access systems work by encrypting digital transport streams (the pay-TV content) and sending authorizations to decrypt the content separately via entitlement management messages (EMM) .

One of the main attributes of traditional (legacy) broadcasting is that it is a one-way distribution system. Under this system, the satellite or cable feed is distributed to everyone, and the transmitting organization does not receive any feedback regarding who is picking up their feed or what they are doing with it. 

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Digital rights management works by encrypting content and then ensuring users meet certain conditions in order to decrypt it. The world’s hunger for content can now be met with near immediate gratification. Today, you can watch or listen to almost anything you want, at any time, on any device.

To bolster overall content protection, business rules were added that define DRM policies, such as when and how the keys can be used. The enforcement of those rules upon the devices used to consume the content came next and with it arrived our current digital rights management definition.

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The wind sector has always had a challenging business model. Wind energy projects depend on high initial investments with fluctuating production and price levels. To mitigate financial risk, wind project developers secure fixed revenues through power purchasing agreements (PPAs). 

As new recruits are being trained, operators and technicians from other sites can fill in without having to learn an entirely new system. With greater worker availability, energy companies can avoid overuse of overtime and reduce human capital costs.

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The short answer is yes, with the right infrastructure, machine learning, and informed, real-time response. The long answer is more complicated. Until recently, ai energy sites were islanded, operating in a vacuum. The rollout of AI and diversified portfolio management has made this status quo untenable. Coordinating and optimizing sites that run on separate but interdependent systems come with significant difficulties in operations, monitoring, management and compliance.

The short answer is yes, with the right infrastructure, machine learning, and informed, real-time response. The long answer is more complicated. Until recently, ai energy sites were islanded, operating in a vacuum. The rollout of AI and diversified portfolio management has made this status quo untenable. Coordinating and optimizing sites that run on separate but interdependent systems come with significant difficulties in operations, monitoring, management and compliance.

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Setting data governance policies, roles and responsibilities and instituting processes that ensure data is managed effectively reduces the risk of non–compliance with regulatory and industry standards

Streamlining processes for the sake of regulatory compliance also helps organizations to reduce the cost of non-compliance while increasing operational efficiency and preventing data mismanagement

The framework includes 5 key risk management areas: identify, protect, detect, respond, and recover. Each stage is examined and guidance is provided so organizations can establish the processes, resources, and tools to minimize cybersecurity risks.

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With the increasing availability of data throughout the energy data lifecycle, we can create a more sustainable and cost-effective way of living. Grid data sharing is the key to unlocking this potential and transitioning to a clean energy economy with better service.

The more detail and data customers have on t how they’re using energy, the better decisions they are able to make to decrease unnecessary load and reduce their own bills.

In the case of grid data sharing, this is especially relevant as personally identifiable information like names and addresses of customers are prominent. Without checks in place, criminals could use supplementary information, such as energy usage or home occupancy patterns, to identify households to target if the data is not protected properly.

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Data virtualization is the core technology that allows for fully compliant and secure data processing across expansive, spread out networks. A virtual representation of data is combined and processed securely according to the existing business rules. This creates an interoperable layer where analytics can be conducted on custom datasets, regardless of where the data is stored, eliminating the need for slow and costly data transfers.

The virtual environment allows secure data processing on sensitive data stored anywhere. When data is combined for querying, all operations take place in secure containers to minimize the chances of security breaches or data leakage.

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Companies and creators can now create and issue their own tokens as a means of fundraising, incentivizing users’ engagement, and providing value to the entire ecosystem. New business models and revenue streams are emerging through the tokenization of assets such as real estate, art, and intellectual property. Purchasing possibilities such as fractional ownership, are allowing more people to invest in high-value assets.

The value of digital products is often determined by the rights that users have to modify, reuse, alter, or monetize them. These rights can range from extensive to limited. For example, where users have broader rights to modify and reuse assets, they are more likely to become an engaged and loyal customer base. On the other hand, restricting usage rights may increase the perceived value of assets and create a more exclusive user base.