The Evidence Problem in the Age of Deepfakes
Introduction
Digital evidence has become part of almost every modern investigation. A photograph can place a person at a location, an audio recording can capture a conversation, and a video can appear to show an event as it happened. For years, the main forensic concern was whether such material had been altered. The rapid growth of generative artificial intelligence has added a harder question: even when a file is preserved exactly as received, can investigators still trust what it appears to show?
Deepfakes have made this question practical rather than theoretical. Synthetic or manipulated audio, video and images can imitate real people and real events with increasing realism. CERT-In describes deepfakes as a high-risk threat because they can support disinformation, fraud, social engineering and reputational harm.[1] NIST research likewise treats AI-generated media as a digital-forensics challenge that requires systematic evaluation of detection technologies.[2]
The result is an evidence problem. The answer is not to stop trusting digital evidence, but to become more disciplined about establishing its origin, integrity, context and authenticity.
The evidence problem begins before the laboratory
When a suspicious video reaches an investigator through WhatsApp, Telegram, email or social media, the file may already have passed through several transformations. It may have been compressed, re-encoded, cropped, renamed or stripped of metadata. A screenshot may preserve what is visible but lose the original file structure. A forwarded audio clip may contain no reliable information about where it was first recorded.
For that reason, forensic examination should begin with acquisition and provenance, not with a quick “deepfake detector” result. Investigators should ask: Who supplied the file? Where was it obtained? Is there an original version? What device or account produced it? What happened to the file before it reached the investigator?
Cryptographic hashing remains important because it can demonstrate that an acquired working copy has not changed during examination. But a valid hash does not prove that the underlying event was genuine. A perfectly preserved fake is still a fake.
What a professional examination should look for
A reliable assessment combines several forms of evidence rather than relying on one technical indicator.
Source and acquisition. The original artefact should be preserved whenever possible. Investigators should record the acquisition method, date and time, source account or device, and any known transformations before collection. A documented chain of custody is essential when material may later support a legal, disciplinary or regulatory decision.
Metadata and file structure. Metadata may provide useful clues about creation, encoding, editing software and timestamps. File structure, compression behaviour and related technical characteristics can also reveal inconsistencies. However, these indicators are supporting evidence, not proof on their own, because metadata can be removed or rewritten during normal processing.
Content-level examination. Forensic analysis can include frame-by-frame video review, audio waveform and spectral examination, and inspection for inconsistencies in lighting, reflections, facial movement, lip synchronisation or background elements. Such signs may help guide an investigation, but they are not a permanent checklist. Generative systems continue to improve.
Independent corroboration. This is often the strongest step. If a recording allegedly shows that a person was in a particular place at a particular time, investigators can compare it with CCTV, access-control records, device artefacts, communications, location information, eyewitness accounts or other independent records. The goal is to determine whether the wider evidence supports the event represented by the media.
A real-world lesson: the Pikesville case
The 2024 Pikesville High School incident in Maryland provides a practical example of why authenticity cannot be assumed from appearance alone. An audio recording circulated online that was presented as the principal making racist and antisemitic comments. On January 17, 2024, Baltimore County Public Schools said it could not yet confirm the recording’s veracity and opened an investigation.[3]
Several months later, the school district reported that investigators, with assistance from the FBI and other experts, had verified that the audio had been created using artificial intelligence.[4] Police subsequently arrested the school’s former athletic director in connection with the fabricated recording.[5]
The forensic lesson is larger than the incident itself. The recording had social consequences before its authenticity was established. In a fast-moving online environment, the first version of an event can travel much further than the later correction. Deepfake investigations therefore have to consider not only whether media is authentic, but also how quickly unverified material can influence decisions.
From deepfake detection to content provenance
Detection tools will remain useful, but they should be treated as part of an examination rather than an automatic verdict. NIST’s Guardians of Forensic Evidence work reflects the need to evaluate how analytic systems perform against changing forms of AI-generated media and how well they generalise beyond controlled conditions.[2]
Another important direction is content provenance. The Coalition for Content Provenance and Authenticity (C2PA) has developed a technical framework for recording verifiable information about how digital content was created and changed. Content Credentials can bind provenance information to an asset using cryptographic techniques, allowing later users to inspect a recorded content history when that information is available.[6]
Provenance does not mean that every claim associated with a file is automatically true. It adds context: who created it, what actions were taken and how the asset changed. In a deepfake environment, that context can be as important as the content itself.
Why this matters in India
The issue is especially relevant to India’s fast-growing digital environment. CERT-In’s 2024 advisory identifies misinformation, fraud and reputational damage among the risks associated with synthetic media.[1] In August 2026, the Government of India stated that the regulatory framework addresses AI-generated deepfakes and noted amendments to the IT Rules in February 2026 concerning harms arising from synthetically generated information, including requirements related to labelling and traceable metadata for permissible AI-generated content.[7]
For organisations, deepfake response should therefore not be treated only as a media or public-relations issue. It can become an incident-response and forensic issue. A suspicious executive voice note, a manipulated employee video or a fabricated screen recording may require preservation, technical examination and independent corroboration before any action is taken.
Conclusion
Deepfakes do not make digital evidence useless. Deepfakes make handling of evidence more dangerous. The professional response is not to believe everything or to doubt everything. The professional response is to build a process around evidence: preserve the original where possible document how evidence was acquired, calculate and record hashes, examine metadata and technical characteristics use detection tools while understanding their limitations compare media with independent evidence and examine provenance information where it is available.
Importantly investigators and decision-makers should separate three questions: Is the file intact? Is the content authentic? Does the content actually prove the event being alleged? Deepfakes can pass the test while failing the other two.
In the age of AI evidence will increasingly be judged not only by how convincing it looks but, by how well its origin, integrity, context and history can be demonstrated. That is the standard that can help preserve trust when seeing and hearing're no longer enough.
References
1. CERT-In, “Deepfakes - Threats and Countermeasures,” Advisory CIAD-2024-0060, 27 November 2024. View source
2. NIST, “Guardians of Forensic Evidence: Evaluating Analytic Systems Against AI-Generated Deepfakes,” 27 January 2025. View source
3. Baltimore County Public Schools, “January 17, 2024, Community Update: Message from Superintendent Dr. Myriam Rogers Regarding Pikesville High School.” View source
4. Baltimore County Public Schools, “April 24, 2024 Staff and Community Update: Message from Superintendent Dr. Myriam Rogers Regarding Pikesville High School Investigation.” View source
5. The Baltimore Banner / WYPR, “Ex-athletic director framed principal with AI-generated voice, police say,” 25 April 2024. View source
6. Coalition for Content Provenance and Authenticity (C2PA), “Content Credentials: C2PA Technical Specification,” Version 2.1. View source
7. Government of India, Ministry of Electronics & Information Technology, “Government Strengthens Regulatory Framework to Address AI-Generated Deepfakes,” 6 August 2026. View source
Related Blogs
Introduction
Picture this - you wake up one morning, check your phone, and discover that a fraudster has emptied your bank account overnight. Your first instinct is to call someone, anyone, who can stop the money from vanishing for good. For millions of Indians today, that number is 1930, the national cybercrime helpline. At a high-level review meeting in June 2026, Union Home Minister Amit Shah directed that the helpline undergo a comprehensive revamp, one that brings in artificial intelligence, multilingual support, and a stronger framework for resolving victim grievances. This is not a minor patch. It is a signal that India wants to treat cybercrime response as a serious governance priority rather than an administrative checkbox.
The Evolution of 1930: From a Pilot Number to National Infrastructure
The helpline’s origin lies in 155260 (Old helpline no.), launched in 2020 by the Indian Cyber Crime Coordination Centre (I4C) with the Reserve Bank of India and the banking sector, built specifically to intercept financial fraud before funds could be laundered across accounts. In 2021, it was renamed 1930 to make the number easier for citizens to recall under stress, a small but telling decision: a security architecture only works if people can remember it during a crisis. It was paired with the National Cybercrime Reporting Portal, launched in August 2019 to strengthen reporting and response mechanisms nationwide, which was later expanded to cover all categories of cybercrime after starting out limited to content-related offences. Over five years, state police forces extended 1930 into round-the-clock, multi-line operations and linked it to local cyber cells, turning a central scheme into genuinely federated infrastructure. The numbers now justify that investment: more than ₹7,000 crore has been saved nationally through the Citizen Financial Cyber Fraud Reporting and Management System, while Mumbai alone blocked or recovered nearly ₹202 crore for victims in 2025 through the helpline. What began as a pilot number has become a core node in India’s financial security architecture.
AI and Multilingual Support as a Citizen-Centric Governance Shift
What makes Shah’s directive significant is not the technology itself but the design philosophy it embeds. The instruction to integrate AI and multilingual support is explicitly aimed at removing language barriers and enabling faster, more efficient complaint registration across the country. For a country with no single dominant spoken language, this is not a feature addition; it is a recognition that uniform, English-or-Hindi-first service design has been quietly excluding the citizens most vulnerable to fraud. Multilingual access addresses a long-standing gap by allowing citizens from non-Hindi-speaking states to report cybercrime in their own languages, significantly broadening reach. This marks a shift away from treating digital governance as a one-size-fits-all portal and toward treating it as a service obligation that adapts to the citizen rather than the reverse, a principle with implications well beyond cybercrime reporting.
Routing, Tracking and Escalation: Engineering Accountability into Redressal
The proposed reforms move beyond the front-end call experience into the architecture of follow-through. AI integration is expected to improve call routing, enable faster identification of fraud patterns, and assist real-time coordination between central and state law enforcement agencies. This matters because cyber fraud is intrinsically cross-jurisdictional: a victim in one state is often defrauded through an account opened in another. Shah directed central agencies to work closely with state governments to ensure that every call received on the helpline is followed through to its logical conclusion — language that, in policy terms, is an attempt to convert a complaint-registration system into a complaint-resolution system. Intelligent routing and case tracking, if implemented well, replace ad hoc coordination between states with a traceable escalation mechanism, the missing link that has historically allowed cases to stall after the first call was logged.
Frozen Accounts and the Procedural Burden on Victims
No part of the revamp is more consequential for ordinary victims than the directive on bank account freezes. The problem is compounded when a cybercrime complaint is registered in one state while the frozen account sits in another, leaving legitimate account holders, sometimes innocent third parties, locked out of their own funds for weeks. Shah directed that grievances arising from the freezing of bank accounts linked to financial frauds be addressed promptly, an instruction that responds directly to a problem now before the courts Judicial scrutiny on this exact question is intensifying: the Karnataka High Court recently held that banks cannot freeze an account completely when investigating agencies have directed only a partial freeze limited to a specified amount. A national, technology-backed mechanism for resolving such freezes would convert a recurring source of citizen grievance into a procedural safeguard, addressing one of the most cited failures of the existing system.
Reading the Reforms Within India’s Broader Cyber Resilience Strategy
Positioned within India’s wider digital governance trajectory, the 1930 revamp fits a recognisable pattern: build foundational infrastructure first, then layer intelligence and personalisation onto it once adoption is proven. The same logic shaped Aadhaar, UPI and the Digital India programme more broadly. India has seen a sharp rise in digital financial fraud, investment scams, sextortion and phishing attacks in recent years, and the Ministry of Home Affairs’ response, expanding I4C, building specialised cybercrime units, and now investing in AI-led citizen interfaces, signals that cyber resilience is being treated less as a law-enforcement afterthought and more as a core pillar of financial-system integrity, alongside RBI and NPCI-led safeguards.
Will These Reforms Strengthen Trust?
The credibility of any reform lies in implementation, not announcement. Public commentary on the revamp captures this tension well: citizens have welcomed the intent while noting that earlier promises of coordination did not always translate into resolved cases, and that awareness gaps in rural India persist regardless of how sophisticated the backend becomes The 1930 revamp will be judged not by how quickly complaints are registered, an area where India already performs reasonably, but by how reliably they are closed. If AI-driven routing and a genuine national escalation mechanism reduce the gap between complaint and resolution, particularly on account freezes, the reform will have done more for citizen trust than any awareness campaign could. If implementation falters at the state-bank coordination layer, the technology will simply make an old problem move faster without making it smaller.
Conclusion
The story of 1930 is the story of Indian digital governance maturing in real time: from a hastily assembled fraud helpline to a piece of national financial security infrastructure now being re-engineered for scale, language diversity and accountability. Amit Shah’s directive should be read not as a single announcement but as an acknowledgment that citizen-facing systems must keep pace with the sophistication of the threats they are built to counter. Whether this becomes a genuine trust-building reform or another well-intentioned upgrade depends entirely on what happens after the press statement — in LEA’s call centres, bank back-offices and state coordination desks across the country.
References
- https://www.republicworld.com/india/amit-shah-orders-major-overhaul-of-national-cybercrime-helpline-1930-calls-for-ai-upgrade-2026-06-17-128739
- https://the420.in/amit-shah-national-cybercrime-helpline-revamp/
- https://inc42.com/buzz/home-minister-amit-shah-calls-for-ai-led-revamp-of-national-cybercrime-helpline/
- https://thenewsmill.com/2026/06/amit-shah-directs-ai-upgrade-for-national-cybercrime-helpline-1930/
- https://risingkashmir.com/national/amit-shah-reviews-national-cybercrime-helpline-1930-calls-for-ai-upgrade-12048424
- https://www.newkerala.com/news/a/amit-shah-reviews-national-cybercrime-helpline-1930-calls-929.htm
- https://simple.wikipedia.org/wiki/1930_(Indian_Cybercrime_Helpline)
- https://www.newsonair.gov.in/over-rs-7000-crore-saved-through-citizen-financial-cyber-fraud-reporting-and-management-system
- https://the420.in/mumbai-1930-cyber-helpline-saves-202-crore-2025
A video circulating on social media claims to show former Indian cricketer Sachin Tendulkar commenting on England batter Joe Root’s batting feats. In the clip, Tendulkar is allegedly heard saying that if Joe Root continues scoring centuries, even his (Tendulkar’s) record would be broken. The video further claims that Tendulkar says if Root scores another century, he would give up the bat’s grip, after which the clip abruptly ends.
Users sharing the video are claiming that Sachin Tendulkar has taken a dig at Joe Root through this remark.
Cyber Peace Foundation’s research found the claim to be misleading. Our research clearly establishes that the viral video is not authentic but has been created using Artificial Intelligence (AI) tools and is being shared online with a false narrative.
CLAIM
On January 5, 2025, several users shared the viral video on Instagram, claiming it shows Sachin Tendulkar making remarks about Joe Root’s century-scoring spree.
(Post link and archive link available.)
FACT CHECK
To verify the claim, we extracted keyframes from the viral video and conducted a Google Reverse Image Search. This led us to an interview of Sachin Tendulkar published on the official BBC News YouTube channel on November 18, 2013. The visuals from that interview match exactly with those seen in the viral clip.
This establishes that the visuals used in the viral video are old and have been repurposed with manipulated audio to create a misleading narrative.
Further, Joe Root made his Test debut in 2012. At that time, he had not scored multiple Test centuries and was nowhere close to Sachin Tendulkar’s record tally of hundreds. This timeline itself makes the viral claim factually incorrect.
(Link to the original BBC interview available.)
https://www.youtube.com/watch?v=v6Rz4pgR9UQ
Upon closely examining the viral clip, we noticed that Sachin Tendulkar’s voice sounded unnatural and inconsistent. This raised suspicion of audio manipulation.
We then ran the viral video through an AI detection tool, Aurigin AI. According to the results, the audio in the video was found to be 100 percent AI-generated, confirming that Tendulkar never made the statements attributed to him in the clip.
Conclusion
Our research confirms that the viral video claiming Sachin Tendulkar commented on Joe Root’s centuries is fake. The video has been created using AI-generated audio and misleadingly combined with visuals from a 2013 interview. Users are sharing this manipulated clip on social media with a false claim.
Executive Summary:
Recently, there has been a massive amount of fake news about India’s standing in the United Security Council (UNSC), including a veto. This report, compiled scrupulously by the CyberPeace Research Wing, delves into the provenance and credibility of the information, and it is debunked. No information from the UN or any relevant bodies has been released with regard to India’s permanent UNSC membership although India has swiftly made remarkable progress to achieve this strategic goal.
Claims:
Viral posts claim that India has become the first-ever unanimously voted permanent and veto-holding member of the United Nations Security Council (UNSC). Those posts also claim that this was achieved through overwhelming international support, granting India the same standing as the current permanent members.
Factcheck:
The CyberPeace Research Team did a thorough keyword search on the official UNSC official website and its associated social media profiles; there are presently no official announcements declaring India's entry into permanent status in the UNSC. India remains a non-permanent member, with the five permanent actors- China, France, Russia, United Kingdom, and USA- still holding veto power. Furthermore, India, along with Brazil, Germany, and Japan (the G4 nations), proposes reform of the UNSC; yet no formal resolutions have come to the surface to alter the status quo of permanent membership. We then used tools such as Google Fact Check Explorer to uncover the truth behind these viral claims. We found several debunked articles posted by other fact-checking organizations.
The viral claims also lack credible sources or authenticated references from international institutions, further discrediting the claims. Hence, the claims made by several users on social media about India becoming the first-ever unanimously voted permanent and veto-holding member of the UNSC are misleading and fake.
Conclusion:
The viral claim that India has become a permanent member of the UNSC with veto power is entirely false. India, along with the non-permanent members, protests the need for a restructuring of the UN Security Council. However, there have been no official or formal declarations or commitments for alterations in the composition of the permanent members and their powers to date. Social media users are advised to rely on verified sources for information and refrain from spreading unsubstantiated claims that contribute to misinformation.
- Claim: India’s Permanent Membership in UNSC.
- Claimed On: YouTube, LinkedIn, Facebook, X (Formerly Known As Twitter)
- Fact Check: Fake & Misleading.
