Why India’s new crypto rules leave little room for anonymity

ambcryptoPublicado em 2026-01-12Última atualização em 2026-01-12

Resumo

India's Financial Intelligence Unit (FIU) has introduced stricter crypto regulations, effective from January 12, requiring enhanced verification processes beyond traditional ID checks. New measures include live selfie verification with actions like blinking, biometric authentication, geo-tagging, IP address collection, and penny-drop bank account validation. These steps aim to prevent deepfake fraud and money laundering, aligning with the Prevention of Money Laundering Act (PMLA). Crypto exchanges must now implement a three-level compliance system, conduct ongoing due diligence, screen users against sanctions lists, and maintain records for five years. The rules also classify ICOs as high-risk and enforce the "Travel Rule" for transparent transaction trails. India's move signals a tightening of digital asset oversight amid evolving global standards.

As deepfake technology becomes more advanced, India is tightening security rules for crypto users.

In a recent update issued on the 8th of January, the Financial Intelligence Unit (FIU) announced that traditional ID-based verification is no longer enough.

From the 12th of January, crypto investors in India will have to undergo much stricter checks.

Details of the FUI’s guidelines

Instead of just uploading an ID, users will need to prove they are physically present and real.

This includes live selfie checks where users must perform actions like blinking, along with biometric verification.

Crypto exchanges will also be required to collect exact location details, such as latitude and longitude, IP addresses, and complete a “penny-drop” bank verification to confirm that the user’s identity and bank account match.

Remarking on the same, Nischal Shetty, Founder, WazirX, in an email sent to AMBCrypto, said,

“Steps like penny drop method, ID verification through selfies, etc were steps WazirX already had in place as part of the customer onboarding journey.”

By combining biometric checks with location tracking, authorities are creating a digital trail that is extremely hard to fake.

Steps taken to prevent money laundering

Then, to comply with the Prevention of Money Laundering Act (PMLA), the FIU has also introduced a strict three-level compliance system.

Nearly three years after the first set of rules in 2023, these updates effectively turn crypto exchanges into closely monitored reporting entities.

While a user’s PAN card remains mandatory, it must now be supported by another government ID such as Aadhaar, a passport, or a Voter ID.

The key addition is the “live selfie” requirement, where users must perform actions like blinking or turning their head to prove they are a real person and not an AI-generated deepfake.

Echoing similar sentiments in the same email, Raj Karkara, COO, ZebPay, added,

“Measures such as liveness detection and geo-tagging during the onboarding process help strengthen user verification, improve transparency, and ensure greater accountability across platforms, aligning the industry with evolving global compliance expectations.”

How will ICO move ahead now?

Authorities have also increased scrutiny on Initial Coin Offerings (ICOs) and now classify them as high-risk activities.

To ensure a clear audit trail, the report reinforces the “Travel Rule.”

Every crypto transfer must now include sender and recipient details, making cross-border anonymity far more difficult.

The report also stresses long-term compliance and warns of serious penalties for lapses.

Meanwhile, Virtual Digital Asset Service Providers (VDASPs) must conduct ongoing due diligence, including KYC updates every six months for high-risk clients.

They must also screen users in real time against domestic and global sanctions lists.

Lastly, exchanges must store all transaction and identity records for at least five years.

These steps follow the FIU imposing ₹28 crore in fines last fiscal year, signaling the government’s intent to crack down on digital arrest scams and hawala-style crypto transactions.

What’s more?

The timing of this update coincided with Economic Affairs Secretary Ajay Seth noting that as other major jurisdictions soften their stances on digital assets, India must likewise recalibrate its long-delayed discussion paper.

He had noted,

“More than one or two jurisdictions have changed their stance towards cryptocurrency in terms of the usage, their acceptance, where do they see the importance of crypto assets.”

Thus, by implementing some of the most stringent onboarding and reporting standards globally, India is attempting to secure its own borders without waiting for an elusive global consensus.


Final Thoughts

  • By mandating live selfies, geo-tagging, and penny-drop checks, authorities are closing long-standing loopholes exploited by deepfakes and anonymous wallets.
  • Long-term success will depend on how securely exchanges handle vast amounts of sensitive user data.

Perguntas relacionadas

QWhat new verification methods are required for crypto users in India according to the FIU's guidelines?

AUsers must undergo live selfie checks with actions like blinking, biometric verification, provide exact location details (latitude and longitude), IP addresses, and complete a 'penny-drop' bank verification to confirm identity and bank account match.

QWhy has the FIU introduced stricter compliance measures for crypto exchanges?

ATo comply with the Prevention of Money Laundering Act (PMLA), prevent money laundering, close loopholes exploited by deepfakes and anonymous wallets, and align with evolving global compliance expectations.

QWhat additional documents are now required alongside the PAN card for crypto user verification?

AAnother government ID such as Aadhaar, a passport, or a Voter ID is now mandatory alongside the PAN card.

QHow are Initial Coin Offerings (ICOs) classified under the new rules, and what requirement reinforces the audit trail for crypto transfers?

AICOs are classified as high-risk activities, and the 'Travel Rule' is reinforced, requiring every crypto transfer to include sender and recipient details to ensure a clear audit trail.

QWhat are the penalties and storage requirements for Virtual Digital Asset Service Providers (VDASPs) under the new regulations?

AVDASPs face serious penalties for lapses, must conduct ongoing due diligence including KYC updates every six months for high-risk clients, screen users in real-time against sanctions lists, and store all transaction and identity records for at least five years.

Leituras Relacionadas

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbitHá 1h

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbitHá 1h

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbitHá 1h

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbitHá 1h

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbitHá 1h

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbitHá 1h

Trading

Spot
活动图片