News Broadcasting
Conditional Access: A basic guide
MUMBAI: What is conditional access? How does it work? Is it prevalent globally? What should India do? Is the CAS Amendment a good enough framework?
These are among many more questions that are plaguing industry, planners and the viewer. To make CAS simpler and understandable for both the technophile and the technophobe, Indiantelevision.com scoured the net and came up with a list of resources on the WWW. We hope these will help clear out some of the cobwebs and haze around CAS. Happy Reading!!
Conditional access (CA) is a technology used to control access to digital television (DTV) services to authorized users by encrypting the transmitted programming. CA has been used for years for pay-TV services. There are numerous ATSC and DVB-compliant CA systems available for a broadcaster to choose from. The CA system provider provides the equipment and software to the broadcaster who then integrates the CA system into his equipment.
The following describes the conditional access process:
*The receiver receives the digital data stream.
*The data flows into the conditional access module, which contains the content provider’s unscrambling algorithms.
*The conditional access module verifies the existence of a smart card that contains the subscriber’s authorization code.
*If the authorization code is accepted, the conditional access module unscrambles the data and returns the data to the receiver. If the code is not accepted, the data remains scrambled restricting access.
*The receiver then decodes the data and outputs it for viewing.’
A CA system consists of several basic components:
Subscriber Management System (SMS): The SMS is a subsystem of the CA system that manages the subscriber’s information and requests entitlement management messages (EMM) from the Subscriber Authorization System (SAS). An EMM provides general information about the subscriber and the status of the subscription. The EMM is sent with the ECM. The ECM is a data unit that contains the key for decrypting the transmitted programs.
Subscriber Authorization System (SAS): The SAS is a subsystem of the CA system that translates the information about the subscriber into an EMM at the request of the SMS. The SAS also ensures that the subscriber’s security module receives the authorization needed to view the programs, and the SAS acts as a backup system in case of failure.
Security module: The security module, usually in the form of a smart card, extracts the EMM and ECM necessary for decrypting the transmitted programs. The security module is either embedded within the set-top box or in a PC Card that plugs into the set-top box.
Set-top box: The set-top box houses the security module that gives authorization for decrypting the transmitted programs. The set-top box also converts the digital signal to an analogue signal so an older television can display the programs. .
Smart Cards: For years, smart cards have been used for pay TV programming. Smart cards are inexpensive, allowing the content provider to issue updated smart cards periodically to prevent piracy. Detachable PC cards allow subscribers to use DVB services anywhere DVB technology is supported.
There are two DVB protocols used by CA systems: SimulCrypt and MultiCrypt. SimulCrypt uses multiple set-top boxes, each using a different CA system, to authorize the programs for display. The different ECMs and EMMs required by each CA system are transmitted simultaneously. Each set-top box recognizes and uses the appropriate ECM and EMM needed for authorization. The ATSC standard uses SimulCrypt. MultiCrypt allows multiple CA systems to be used with one set-top box by using a PC card with an embedded smart card for each CA system used. Each card is then plugged into a slot in the set-top box. Each card recognizes the ECM and EMM needed for authorization.
A typical CA process involves three basic elements: the broadcast equipment, the set-top box, and the security module. The broadcast equipment generates the encrypted programs that are transmitted to the subscriber. When these are transmitted, the set-top box filters out the signals and passes them to the security module. The security module then authorizes these programs for decryption. The programs are then descrypted in real time and sent back to the set-top box for display
News Broadcasting
Newsrooms rethink AI, trust and revenue models
Editors and tech leaders debate tools, deepfakes and viability.
MUMBAI: If yesterday’s newsroom ran on caffeine and chaos, tomorrow’s may well run on code but with a human still holding the pen. At the 22nd edition of the Video Broadcast and Broadband Tech Summit hosted by IndianTelevision.com, some of the sharpest minds in Indian media gathered to examine how artificial intelligence, automation and shifting audience behaviour are reshaping journalism. The session, titled The Newsroom of Tomorrow Tools, Trust, and Business Viability In Focus, did not descend into techno-utopian hype. Instead, it wrestled with a more uncomfortable question: how do you stay relevant, credible and profitable when the audience is changing faster than the headline cycle?
The panel featured Govindraj Ethiraj, Editor of The Core, Dr Nilesh Khare, COO of Sakal Media Group; Prakaran Tiwari, Chief Executive Producer at NDTV Profit; Manoj Padmanabhan, Head of Business Media and Entertainment at AWS; Neeraj Mishra, Key Account Manager at Vizrt and session chair; and Mayuresh Konnur, Bilingual Correspondent at Collective Newsroom, publisher for BBC in India.
Govindraj Ethiraj set the tone with a frank assessment. “The reason people do not consume as much news through us is because they are consuming news through other sources they trust more,” he said. In a fragmented ecosystem flooded with content, trust has become the real differentiator.
Yet AI is undeniably transforming workflows. Ethiraj admitted he now uses AI tools to proofread his own articles. “Sometimes it is scary how much it picks, but it helps,” he said. What once required layers of sub-editing can now be assisted by machines trained to flag errors, inconsistencies and structural weaknesses.
He pointed to how newsroom roles have evolved. The desk editor, widely advertised over the last 15 years, barely existed in its current form before the internet boom. As digital publishing accelerated, tasks such as curating listicles, ranking stories and optimising headlines became specialised functions. Now, many of those responsibilities can be performed or at least supported by AI systems. The disruption is not hypothetical; it is operational.
Dr Nilesh Khare approached the issue from both a business and technological standpoint. Sakal Media Group is developing its own large language model, built on 60 years of text and photo archives. The goal is independence. “We won’t need to depend on other platforms to develop ours,” he said, underscoring the strategic value of proprietary data.
For Khare, AI represents opportunity as much as anxiety. It can help expand content across geographies and languages, particularly in bridging North and South Indian markets. It can streamline production and reduce costs. He did not shy away from the implications. “As a journalist I feel bad but as a content producer I feel good that we will require less manpower,” he said, articulating a tension many in the room recognised but few openly admit.
He also highlighted how audience behaviour is evolving. Today, a retail investor can follow a stock using Gemini or GPT instead of toggling between multiple news channels. News is no longer consumed linearly; it is queried, personalised and synthesised. The newsroom must therefore produce content that survives not just on screens but within AI-generated summaries.
Prakaran Tiwari offered a more philosophical reflection. “AI has developed itself and adapted on the basis of how news is consumed. It’s all about giving a perspective,” he said. In his view, the competitive edge will not lie in speed alone but in interpretation. Facts are increasingly commoditised; context is not.
He also suggested that formats are fluid. While short-form video dominates social feeds, long-form audio is resurging. Govindraj Ethiraj noted that in the United States the 2024 election was described as the “podcast election”, reflecting how audiences are investing time in deeper, long-form discussions. The newsroom of tomorrow must cater to both scrolling and sustained listening.
Manoj Padmanabhan of AWS reframed the debate. Technology, he argued, is not an existential threat but an amplifier. “The power is given to the human journalist with all this technology in their hand, with it acting as a support or assistant to deliver the correct and relevant news to the people,” he said.
The traditional divide between a “normal” newsroom and a “digital” newsroom is fading. “It will not be two newsrooms,” he said. “It will be one newsroom.” In that integrated environment, the storyteller remains central. AI may assist with research, editing and distribution, but editorial judgement remains human.
Neeraj Mishra of Vizrt echoed the assistive narrative. India, he said, is a market of organised chaos, where news broadcasters are pushing ever-increasing volumes of content. AI will help manage scale. It is not here to replace people but to assist them.
Production barriers are already collapsing. “You don’t need a green screen to produce content now,” Mishra observed, hinting at virtual production tools and real-time rendering technologies. And this, he said, is only the beginning. In a cost-conscious market like India, AI adoption in both B to B and B to C segments is likely to rise sharply. The skills are available, he argued, the real question is whether organisations are willing to invest.
If opportunity was one half of the conversation, risk was the other. Mayuresh Konnur warned that fake news is now being peddled with alarming ease using AI tools. Deepfakes, synthetic audio and fabricated visuals can damage credibility overnight. Several journalists, he said, have already faced instances where manipulated content was circulated in their name.
“Eventually it becomes a question of how authentic you are in the market,” Konnur noted. In a crowded information economy, credibility is the ultimate moat. Regulations and clear guidelines, he argued, are necessary to curb misuse without stifling innovation.
Mishra added a note of caution against overuse. “AI should not be everywhere. It has to be used optimally,” he said. The value lies not in blanket automation but in strategic integration.
One of the most resonant metaphors came from Padmanabhan. AI, he suggested, is like a brush in a human hand. Powerful, versatile, transformative but inert without the artist. It cannot survive without the human touch.
Konnur distilled the session’s core takeaway, AI is inevitable, but the art of storytelling will never disappear.
In a media landscape defined by speed, shrinking attention spans and intense competition, the newsroom of tomorrow is not simply a technological upgrade. It is a recalibration. Between efficiency and ethics. Between automation and authenticity. Between reducing manpower and retaining meaning.
The algorithms may write cleaner copy and generate sharper graphics. They may even predict what audiences want before audiences know it themselves. But the enduring task remains unchanged to tell stories that inform, interrogate and inspire.
And for that, the human newsroom is still very much open for business.
