#FactCheck - Debunking Manipulated Photos of Smiling Secret Service Agents During Trump Assassination Attempt

Introduction

AI has penetrated most industries and telecom is no exception. According to a survey by Nvidia, enhancing customer experiences is the biggest AI opportunity for the telecom industry, with 35% of respondents identifying customer experiences as their key AI success story. Further, the study found nearly 90% of telecom companies use AI, with 48% in the piloting phase and 41% actively deploying AI. Most telecom service providers (53%) agree or strongly agree that adopting AI would provide a competitive advantage. AI in telecom is primed to be the next big thing and Google has not ignored this opportunity. It is reported that Google will soon add “AI Replies” to the phone app’s call screening feature. 

How Does The ‘AI Call Screener’ Work?

With the busy lives people lead nowadays, Google has created a helpful tool to answer the challenge of responding to calls amidst busy schedules. Google Pixel smartphones are now fitted with a new feature that deploys AI-powered calling tools that can help with call screening, note-making during an important call, filtering and declining spam, and most importantly ending the frustration of being on hold.  

In the official Google Phone app, users can respond to a caller through “new AI-powered smart replies”. While “contextual call screen replies” are already part of the app,  this new feature allows users to not have to pick up the call themselves. 

• With this new feature,  Google Assistant will be able to respond to the call with a customised audio response.
• The Google Assistant, responding to the call, will ask the caller’s name and the purpose of the call. If they are calling about an appointment, for instance, Google will show the user suggested responses specific to that call, such as ‘Confirm’ or ‘Cancel appointment’.

Google will build on the call-screening feature by using a “multi-step, multi-turn conversational AI” to suggest replies more appropriate to the nature of the call. Google’s Gemini Nano AI model is set to power this new feature and enable it to handle phone calls and messages even if the phone is locked and respond even when the caller is silent.

Benefits of AI-Powered Call Screening

This AI-powered call screening feature offers multiple benefits:

1. The AI feature will enhance user convenience by reducing the disruptions caused by spam calls. This will, in turn, increase productivity.
2. It will increase call privacy and security by filtering high-risk calls, thereby protecting users from attempts of fraud and cyber crimes such as phishing.  
3. The new feature can potentially increase efficiency in business communications by screening for important calls, delegating routine inquiries and optimising customer service. 

Key Policy Considerations

Adhering to transparent, ethical, and inclusive policies while anticipating regulatory changes can establish Google as a responsible innovator in AI call management. Some key considerations for AI Call Screener from a policy perspective are:

1. The AI screen caller will process and transcribe sensitive voice data, therefore, the data handling policies for such need to be transparent to reassure users of regulatory compliance with various laws. 
2. AI has been at a crossroads in its ethical use and mitigation of bias. It will require the algorithms to be designed to avoid bias and reflect inclusivity in its understanding of language. 
3. The data that the screener will be using is further complicated by global and regional regulations such as data privacy regulations like the GDPR, DPDP Act, CCPA etc., for consent to record or transcribe calls while focussing on user rights and regulations. 

Conclusion: A Balanced Approach to AI in Telecommunications

Google’s AI Call Screener offers a glimpse into the future of automated call management, reshaping customer service and telemarketing by streamlining interactions and reducing spam. As this technology evolves, businesses may adopt similar tools, balancing customer engagement with fewer unwanted calls. The AI-driven screening will also impact call centres, shifting roles toward complex, human-centred interactions while automation handles routine calls. They could have a potential effect on support and managerial roles. Ultimately, as AI call management grows, responsible design and transparency will be in demand to ensure a seamless, beneficial experience for all users.

References

• https://resources.nvidia.com/en-us-ai-in-telco/state-of-ai-in-telco-2024-report
• https://store.google.com/intl/en/ideas/articles/pixel-call-assist-phone-screen/ 
• https://www.thehindu.com/sci-tech/technology/google-working-on-ai-replies-for-call-screening-feature/article68844973.ece
• https://indianexpress.com/article/technology/artificial-intelligence/google-ai-replies-call-screening-9659612/ 

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Introduction 

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The digital landscape of the nation has reached a critical point in its evolution. The rapid adoption of technologies such as cloud computing, mobile payment systems, artificial intelligence, and smart infrastructure has led to a high degree of integration between digital systems and governance, commercial activity, and everyday life. As dependence on these systems continues to grow, a wide range of cyber threats has emerged that are complex, multi-layered, and closely interconnected. By 2026, cyber security threats directed at India are expected to include an increasing number of targeted, well-organised, and strategic cyber attacks. These attacks are likely to focus on exploiting the trust placed in technology, institutions, automation, and the fast pace of technological change.

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1. Social Engineering 2.0: Hyper-Personalised AI Phishing & Mobile Banking Malware

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Cybercriminals have moved from generalised methods to hyper-targeted attacks through AI-based psychological manipulation. In addition to social media profiles, data breaches, and digital/tracking footprints, the latest types of cybercrimes expected in 2026 will involve AI-based analysis of this information to create and increase the use of hyper-targeted phishing emails.

Phishing emails are capable of impersonating banks, employers, and even family members, with all the same regionally or culturally relevant tone, language, and context as would be done if these persons were sending the emails in person.

With malicious applications disguised as legitimate service apps, cybercriminals have the ability to intercept and capture One-Time Passwords (OTPs), hijack user sessions, and steal money from user accounts in a matter of minutes.

These types of attempts or attacks are successful not only because of their technical sophistication, but because they take advantage of human trust at scale, giving them an almost limitless reach into the financial systems of people around the world through their computers and mobile devices.

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2. Cloud and Supply Chain Vulnerabilities

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As Indian organisations increasingly migrate to cloud infrastructure, cloud misconfigurations are emerging as a major cybersecurity risk. Weak identity controls, exposed storage, and improper access management can allow attackers to bypass traditional network defences. Alongside this, supply chain attacks are expected to intensify in 2026.

In supply chain attacks, cybercriminals compromise a trusted software vendor or service provider to infiltrate multiple downstream organisations. Even entities with strong internal security can be affected through third-party dependencies. For India’s startup ecosystem, government digital platforms, and IT service providers, this presents a systemic risk. Strengthening vendor risk management and visibility across digital supply chains will be essential.

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3. Threats to IoT and Critical Infrastructure

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By implementing smart cities, digital utilities, and connected public services, IoT has opened itself up to increased levels of operational technology (OT) through India’s initiative. However, there is currently a lack of adequate security in the form of strong authentication, encryption, and update methods available on many IoT devices. By the year 2026, attackers are going to be able to exploit these vulnerabilities much more than they already are.

Cyberattacks on critical infrastructure such as energy, transportation, healthcare, and telecom systems have far-reaching consequences that extend well beyond data loss; they directly affect the provision of essential services, can damage public safety, and raise concerns over national security. Effectively securing critical infrastructure needs to involve dedicated security solutions to deal with the specific needs of critical infrastructure, in contrast to conventional IT security.

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4. Hidden File Vectors and Stealth Payload Delivery

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SVG File Abuse in Stealth Attacks

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Cybercriminals are continually searching for ways to bypass security filters, and hidden file vectors are emerging as a preferred tactic. One such method involves the abuse of SVG (Scalable Vector Graphics) files. Although commonly perceived as harmless image files, SVGs can contain embedded scripts capable of executing malicious actions.

By 2026, SVG-based attacks are expected to be used in phishing emails, cloud file sharing, and messaging platforms. Because these files often bypass traditional antivirus and email security systems, they provide an effective stealth delivery mechanism. Indian organisations will need to rethink assumptions about “safe” file formats and strengthen deep content inspection capabilities.

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5. Quantum-Era Cyber Risks and “Harvest Now, Decrypt Later” Attacks

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Although practical quantum computers are still emerging, quantum-era cyber risks are already a present-day concern. Adversaries are believed to be intercepting and storing encrypted data now with the intention of decrypting it in the future once quantum capabilities mature—a strategy known as “harvest now, decrypt later.” This poses serious long-term confidentiality risks.

Recognising this threat, the United States took early action during the Biden administration through National Security Memorandum 10, which directed federal agencies to prepare for the transition to quantum-resistant cryptography. For India, similar foresight is essential, as sensitive government communications, financial data, health records, and intellectual property could otherwise be exposed retrospectively. Preparing for quantum-safe cryptography will therefore become a strategic priority in the coming years.

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6. AI Trust Manipulation and Model Exploitation

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Poisoning the Well – Direct Attacks on AI Models

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As artificial intelligence systems are increasingly used for decision-making—ranging from fraud detection and credit scoring to surveillance and cybersecurity—attackers are shifting focus from systems to models themselves. “Poisoning the well” refers to attacks that manipulate training data, feedback mechanisms, or input environments to distort AI outputs.

In the context of India's rapidly growing digital ecosystem, compromised AI models can result in biased decisions, false security alerts or denying legitimate services. The big problem with these types of attacks is they may occur without triggering conventional security measures. Transparency, integrity and continuous monitoring of AI systems will be key to creating and maintaining stakeholder confidence in the decision-making process of the automated systems.

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Recommendations

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Despite the increasing sophistication of malicious cyber actors, India is entering this phase with a growing level of preparedness and institutional capacity. The country has strengthened its cyber security posture through dedicated mechanisms and relevant agencies such as the Indian Cyber Crime Coordination Centre, which play a central role in coordination, threat response, and capacity building. At the same time, sustained collaboration among government bodies, non-governmental organisations, technology companies, and academic institutions has expanded cyber security awareness, skill development, and research. These collective efforts have improved detection capabilities, response readiness, and public resilience, placing India in a stronger position to manage emerging cyber threats and adapt to the evolving digital environment.

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Conclusion 

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By 2026, complexity, intelligence, and strategic intent will increasingly define cyber threats to the digital ecosystem. Cyber criminals are expected to use advanced methods of attack, including artificial intelligence assisted social engineering and the exploitation of cloud supply chain risks. As these threats evolve, adversaries may also experiment with quantum computing techniques and the manipulation of AI models to create new ways of influencing and disrupting digital systems. In response, the focus of cybersecurity is shifting from merely preventing breaches to actively protecting and restoring digital trust. While technical controls remain essential, they must be complemented by strong cybersecurity governance, adherence to regulatory standards, and sustained user education. As India continues its digital transformation, this period presents a valuable opportunity to invest proactively in cybersecurity resilience, enabling the country to safeguard citizens, institutions, and national interests with confidence in an increasingly complex and dynamic digital future.

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References

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1. https://www.seqrite.com/india-cyber-threat-report-2026/ 
2. https://www.uscsinstitute.org/cybersecurity-insights/blog/ai-powered-phishing-detection-and-prevention-strategies-for-2026
3. https://www.expresscomputer.in/guest-blogs/cloud-security-risks-that-should-guide-leadership-in-2026/130849/ 
4. https://www.hakunamatatatech.com/our-resources/blog/top-iot-challenges 
5. https://csrc.nist.gov/csrc/media/Presentations/2024/u-s-government-s-transition-to-pqc/images-media/presman-govt-transition-pqc2024.pdf
6. https://www.cyber.nj.gov/Home/Components/News/News/1721/214 

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Introduction:

CDR is a term that refers to Call detail records, The Telecom Industries holds the call details data of the users. As it amounts to a large amount of data, the telecom companies retain the data for a period of 6 months. CDR plays a significant role in investigations and cases in the courts. It can be used as pivotal evidence in court proceedings to prove or disprove certain facts & circumstances. Power of Interception of Call detail records is allowed for reasonable grounds and only by the authorized authority as per the laws. 

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Admissibility of CDR’s in Courts:

Call Details Records (CDRs) can be used as effective pieces of evidence to assist the court in ascertaining the facts of the particular case and inquiring about the commission of an offence, and according to the judicial pronouncements, it is made clear that CDRs can be used supporting or secondary evidence in the court. However, it cannot be the sole basis of the conviction. Section 92 of the Criminal Procedure Code 1973 provides procedure and empowers certain authorities to apply for court or competent authority intervention to seek the CDR. 

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Legal provisions to obtain CDR:

The CDR can be obtained under the statutory provisions of law contained in section 92 Criminal Procedure Code, 1973. Or under section 5(2) of Indian Telegraph Act 1885, read with rule 419(A) Indian Telegraph Amendment rule 2007. The guidelines were also issued in 2016 by Ministry of Ministry of Home Affairs for seeking Call details records (CDRs)

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How long is CDR stored with telecom Companies (Data Retention)

Call Data is retained by telecom companies for a period of 6 months. As the data amounts to high storage, almost several Petabytes per year, telecom companies store the call details data for a period of 6 months and archive the rest of it to tapes. 

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New Delhi 25Cr jewellery heist 

Recently, an incident took place where a 25-crore jewellery theft was carried out in a jewellery shop in Delhi, It was planned and executed by a man from Chhattisgarh. After committing the crime, the criminal went back to Chhattisgarh. It was a case of a 25Cr heist, and the police started their search & investigation. Police used technology and analysed the mobile numbers which were active at the crime scene. Delhi police used advanced software to analyse data. The police were able to trace the mobile number of thieves or suspects active at the crime scene. They discovered suspected contacts who were active within the range of the crime scene, and it helped in the arrest of the main suspects.  From around 5,000 mobile numbers active around the crime scene, police have used advanced software that analyses huge data, and then police found a number registered outside of Delhi.  The surveillance on the number has revealed that the suspected criminal has moved to the MP from Delhi, then moved further to Bhilai Chattisgarh. Police have successfully arrested the suspected criminal. This incident highlights how technology or call data can assist law enforcement agencies in investigating and finding the real culprits.

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Conclusion: 

CDR refers to call detail records retained by telecom companies for a period of 6 months, it can be obtained through lawful procedure and by competent authorities only. CDR can be helpful in cases before the court or law enforcement agencies, to assist the court and law enforcement agencies in ascertaining the facts of the case or to prove or disprove certain things. It is important to reiterated that unauthorized seeking of CDR is not allowed; the intervention of the court or competent authority is required to seek the CDR from the telecom companies. CDRs cannot be unauthorizedly obtained, and there has to be a directive from the court or competent authority to do so.

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References:

• https://indianlegalsystem.org/cdr-the-wonder-word/#:~:text=CDR%20is%20admissible%20as%20secondary,the%20Indian%20Evidence%20Act%2C%201872.
• https://timesofindia.indiatimes.com/city/delhi/needle-in-a-haystack-how-cops-scanned-5k-mobile-numbers-to-crack-rs-25cr-heist/articleshow/104055687.cms?from=mdr
• https://www.ndtv.com/delhi-news/just-one-man-planned-executed-rs-25-crore-delhi-heist-another-thief-did-him-in-4436494

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