Financial Intelligence Unit–India and Pension Fund Regulatory and Development Authority Sign MoU to Strengthen India’s Fight Against Money Laundering

In a significant step towards bolstering India’s defences against money laundering and financial crimes, the Financial Intelligence Unit–India (FIU‑IND) and the Pension Fund Regulatory and Development Authority (PFRDA) have signed a comprehensive Memorandum of Understanding (MoU) to enhance information sharing and coordination.

The MoU was signed by Shri Amit Mohan Govil, Director, FIU‑IND, and Shri Randip Singh Jagpal, Whole Time Member, PFRDA, in the presence of Shri Sivasubramanian Ramann, Chairperson, PFRDA.

Key Objectives of the MoU

• Capacity Building: Joint outreach and training programmes for regulated/reporting entities, focusing on strengthening Anti‑Money Laundering and Combating Financing of Terrorism (AML/CFT) capabilities.
• International Alignment: Ensuring compliance with global standards and facilitating exchange of information with foreign FIUs under the Egmont Principles of Information Exchange.
• Risk Assessment: Identifying and assessing Money Laundering and Terror Financing (ML/TF) risks and vulnerabilities across financial sub‑sectors.
• Red Flag Indicators: Developing and disseminating indicators for suspicious transactions.
• Compliance Monitoring: Supervising and monitoring reporting entities’ adherence to obligations under the Prevention of Money Laundering Act (PMLA), PML Rules, and PFRDA guidelines.
• Regular Coordination: Designation of nodal officers and quarterly meetings to deliberate on issues of mutual interest.

About FIU‑IND

The Financial Intelligence Unit–India is the central national agency responsible for receiving, processing, analyzing, and disseminating information on suspect financial transactions. It plays a pivotal role in coordinating efforts against money laundering and financing of terrorism.

About PFRDA

The Pension Fund Regulatory and Development Authority, established under the PFRDA Act, 2013, regulates, develops, and supervises India’s pension sector. It oversees the National Pension System (NPS) and Atal Pension Yojana (APY), ensuring orderly growth of the pension ecosystem and safeguarding subscriber interests.

DoT–SEBI Ink MoU to Tackle Telecom‑Linked Market Frauds

India’s Department of Telecommunications (DoT) and the Securities and Exchange Board of India (SEBI) have signed a landmark MoU on April 15, 2026, to combat telecom‑linked securities frauds. The agreement enables real‑time data sharing through DoT’s Digital Intelligence Platform, aiming to protect investors and strengthen trust in India’s digital financial ecosystem.

Key Highlights of the MoU

• Date Signed: April 15, 2026
• Signatories: Shri Sanjeev Kumar Sharma (DoT), Shri Sandip Pradhan (SEBI), in presence of Shri Deb Kumar Chakrabarti
• Platform Used: DoT’s Digital Intelligence Platform (DIP), connecting 1,400+ stakeholders

Provisions of the Partnership

• Financial Fraud Risk Indicator (FRI): Shared by DoT with SEBI to flag suspicious mobile numbers linked to fraud.
• Mobile Number Revocation List (MNRL): Automatically shared with SEBI‑regulated entities to ensure valid mobile connections for investor accounts.
• Reciprocal Data Sharing: SEBI will provide inputs on telecom resources tied to accounts involved in cyber fraud or impersonation.
• Integration with Chakshu (Sanchar Saathi): Builds on DoT’s fraud‑detection system that disconnected 88 lakh fraudulent mobile connections and prevented ₹2,300 crore losses in 10 months.

Why This Matters

• Proactive Prevention: Shifts India’s regulatory framework from reactive enforcement to proactive fraud detection.
• Investor Protection: Enhances trust in India’s fast‑growing digital investment ecosystem.
• Institutional Synergy: Strengthens cooperation between telecom and financial regulators.
• Global Significance: Positions India as a leader in integrating telecom intelligence with financial regulation.

Wider Implications

• For Investors: Greater assurance that mobile numbers tied to trading accounts are genuine.
• For Regulators: A model for cross‑sector collaboration, extendable to banking and insurance fraud detection.
• For India’s Digital Economy: Reinforces credibility amid surging fintech adoption and retail market participation.

Summary: The DoT–SEBI MoU is a strategic step to safeguard India’s financial ecosystem, combining telecom intelligence with securities market oversight. It promises early detection of fraud, stronger investor protection, and enhanced trust in India’s digital economy.

FIU-IND and I4C Forge MoU to Bolster India’s Cyber Fraud and Financial Crime Defenses

On April 9, 2026, India’s Financial Intelligence Unit (FIU-IND) and the Indian Cyber Crime Coordination Centre (I4C) signed a landmark Memorandum of Understanding (MoU) to strengthen the country’s fight against cyber fraud and financial crimes, focusing on real-time intelligence sharing, fraud detection, and asset recovery.

Key Details of the MoU

• Signed by Amit Mohan Govil (Director, FIU-IND) and Rajesh Kumar (CEO, I4C).
• Focus on real-time intelligence sharing on cyber fraud and money laundering.
• Development of red flag indicators for banks and financial institutions.
• Strengthening asset recovery mechanisms for victims of online financial crimes.
• Establishing feedback loops to refine national fraud detection protocols.

India’s Digital Payment Context

India’s digital payment ecosystem has witnessed exponential growth, with UPI transactions crossing 12 billion per month in early 2026. This rapid adoption has also led to a surge in cyber fraud cases, including phishing, mule accounts, and instant loan scams.

• The MoU reflects a “whole-of-government” approach, aligning financial monitoring with cybercrime enforcement.
• It aims to safeguard citizens and businesses by institutionalizing fraud detection protocols.
• It complements national initiatives such as Digital India and the National Cyber Security Strategy.

Strategic Impact

• For Citizens: Stronger safeguards against fraud in UPI, net banking, and fintech platforms.
• For Financial Institutions: Clear guidelines and early-warning indicators to detect suspicious activity.
• For Investigators: Faster access to intelligence, enabling quicker case resolution and recovery of stolen assets.
• For Policy: Reinforces India’s commitment to secure digital transactions and global best practices.

Conclusion

This MoU is a milestone in India’s cybercrime policy, signaling a shift toward institutionalized fraud detection and coordinated asset recovery at a time when India’s digital economy is expanding globally.

Binance Reinforces User Safety With Global Verification Tool Against Impersonation Fraud

• If someone reaches out claiming they work with Binance – especially in roles like business development and partnerships, account management, and customer support – check them using Binance Verify. If they cannot be verified, treat the contact as untrusted, and do not proceed. 
• If anyone guides you to download and open files, share screenshots of your account pages, scan QR codes to log in, enable remote control or screen sharing, share your password, or click unknown links, stop immediately.
• Do not open compressed files or run attachments sent by strangers, even if they look like normal documents. If you have already opened a suspicious file or shared screenshots, contact Binance Customer Support and take immediate account-security steps.

Binance, the world's leading cryptocurrency exchange and blockchain infrastructure provider, today reiterated its longstanding commitment to user safety and responsible trading by reinforcing comprehensive guidance to help retail users identify, avoid, and report impersonation fraud. Central to its ongoing effort is Binance Verify — its official channel-authentication tool, which has been freely accessible to all users worldwide since its launch, with no account or login required. The tool allows any individual to instantly confirm whether a domain, email address, phone number, or social media handle corresponds to a verified, official Binance channel. Its unrestricted public availability reflects Binance's position that safety infrastructure is accessible to everyone, account holders and non-account holders alike, and that the first line of defence against fraud must be in the hands of every user.

Impersonation fraud has emerged as one of the most persistent threats in the digital asset space. Fraudsters routinely create lookalike profiles, clone official communications, and mimic legitimate platforms with a level of sophistication that makes detection difficult for even experienced users. The consequences — financial loss, compromised account security, and erosion of trust in regulated platforms — are real and significant. What this threat makes clear is that user protection cannot rest with any single party. Exchanges must build robust safeguards, regulators must maintain an informed oversight environment, and users must be equipped to exercise their own vigilance.

SB Seker, Head of APAC, Binance commented, "As crypto adoption deepens, we are seeing attacks that are no longer opportunistic but engineered. Bad actors are studying how users interact with platforms, mimicking familiar language, interfaces, and processes with alarming precision. That is deeply concerning, because the people being targeted are often those who are newest to crypto and most trusting.

Protecting our users is not a compliance obligation, it is a commitment we hold at the core of everything we do. Every tool we build, every advisory we issue, every awareness effort we run comes from a conviction that our users feel safe and empowered. We will continue to invest in stronger safeguards, deepen user education, work closely with industry partners, and stay ahead of emerging threats because the trust our users place in us is something we will never take for granted."

Binance recognises that the integrity of the digital asset ecosystem depends on coordinated action across the industry. Lookalike domains and impersonator platforms do not merely harm the users they deceive, they damage the reputation of legitimate exchanges and complicate the regulatory environment for the sector as a whole. Binance invites regulators, industry bodies, and fellow platforms to collaborate on establishing clearer verification standards, swift reporting mechanisms for fraudulent brand misuse, and joint user-awareness initiatives that reach retail participants at scale.

Users who wish to verify the authenticity of a Binance communication can do so immediately at https://www.binance.com/en/official-verification. Users who believe they have been targeted by an impersonation attempt are encouraged to contact Binance Customer Support through official channels and to report the incident promptly. For detailed guidance on how to use the tool, visit FAQ: What Is Binance Verify?

Sign3 Secures $1.5M Investment Led by Cedar Hill Capital to Scale AI-Native Risk Platform

Cedar Hill Capital today announced that it has led a $1.5 million investment in Sign3, an AI-native fraud intelligence and risk management platform. The investment marks Cedar Hill Capital’s third investment as a fund, and its second focused on AI-led enterprise technology.

The round also saw participation from Smile Group, an existing investor and leading internet investment firm, and was backed by notable founders and operators, including Rajesh Sawhney (GSF), Dinesh Agarwal (IndiaMart), Anup Agarwal (Kiwi), and Vinay Bagri (Niyo).

Founded in 2022 and headquartered in Gurugram, Sign3 is building an AI-native customer intelligence platform for real-time fraud prevention and smarter financial decisioning. The company’s AI and machine-learning proprietary architecture combines device intelligence, behavioural biometrics, and alternative data signals to generate pre-emptive risk insights for financial institutions and marketplaces.

The company is seeing strong early traction, with 20+ banks, FinTechs, and marketplaces already using the platform to detect money mule accounts, uncover hidden fraud patterns, and identify high-risk NPA users.

As digital financial services continue to scale across onboarding, lending, payments, and embedded finance ecosystems, fraud patterns have grown more sophisticated and dynamic. Traditional rule-based systems are increasingly challenged by synthetic identities, multi-account abuse, mule networks, and behavioural manipulation. Institutions are therefore shifting toward embedded, real-time intelligence systems capable of adapting to evolving risk environments.

“Fraud and identity risk are foundational challenges and top priorities for technology and risk leaders as digital finance continues to scale,” said Sahil Anand, Managing Partner at Cedar Hill Capital. “We are excited to partner with Amit and Arvinder in building Sign3’s AI-first platform and will leverage our deep domain expertise to help expand its use cases and adoption across the Financial Services ecosystem.”

Arvinder Singla, Co-Founder of Sign3, said “Financial institutions today generate more data than ever - across devices, channels, and touchpoints - yet most still fight fraud with siloed, rule-based systems that can't connect the dots. Sign3's AI-native platform unifies these signals into a single intelligence layer that detects threats like mule networks end-to-end - turning data overload into a real-time decisioning advantage. In Cedar Hill Capital, we found deep BFSI conviction, and an ecosystem, through their sister FinTech Lab and Cedar-IBS Intelligence platform that has already accelerated partnerships we couldn't have unlocked this quickly on our own.”

The capital will be used to strengthen product capabilities, enhance AI models, expand go-to-market initiatives, and scale engineering and analytics teams.

mFilterIt Ad Fraud Report: AI-Driven Fraud Puts 12% of Marketing Spend at Risk

• Even premium and brand-safe environments remain vulnerable to AI-driven fraud, reducing campaign efficiency and outpacing traditional detection methods.
• Contaminated retargeting pools and gaps in contextual brand safety underline the urgent need for independent oversight and full-funnel intelligence.

mFilterIt, a proudly Made-in-India digital trust and fraud prevention company, has released its latest Ad Fraud Intelligence Report, signalling a critical reset on how ad fraud is viewed in the current scenario. As India accelerates into a fully digital economy, the report warns that fraud has evolved faster than governance frameworks, with AI now capable of imitating real user behaviour and bypassing rule-based verification. Marketers continue to rely on outdated metrics like viewability, clicks, CTR, and installs, leading to distorted optimisation and almost 12% leakage of marketing spend into invalid or fraudulent traffic. The report reinforces that this is no longer a technical glitch, but a direct P&L risk, and protecting digital integrity is essential for sustainable growth.

The report challenges long-standing assumptions around media quality and brand safety measures. It also challenges a consistent norm of seeing ad fraud as a linear problem, breaking down how it permeates across the funnel in a non-linear way. It finds that viewable impressions often attract ads are seen by bots, not humans; fraud persists even in premium and closed environments and performance metrics are distorted by upstream exposure. Brand safety systems miss contextual and vernacular cues, while retargeting pools show contamination at the source, misdirecting optimisation. These insights point to a broader shift where fraud operates as a connected system rather than isolated events.

The report outlines clear implications for marketers, agencies and platforms. Branding and performance must be viewed as part of a single risk surface, making reliance on platform reported metrics insufficient. Attention becomes a more reliable measure of media quality than viewability alone. Attribution models, especially in app and affiliate ecosystems, must distinguish authenticity from performance. Contextual intelligence is required in place of keyword-based safety models, and the report calls for a governance approach rooted in trust instead of delivery metrics.

As the report shows fraud operating as a connected system, it also outlines the shifts needed to manage it. It calls for full-funnel validation instead of point-in-time checks and urges the use of multi-signal intelligence in place of single metric scoring. The report highlights the need for independent oversight to address gaps in platform reported data and recommends context-led decision making rather than keyword-based filtering to improve media quality.

Amit Relan, CEO and Co-founder, mFilterIt, said, “The real risk in digital advertising is not fraud itself, but the illusion of clean data. Marketers must treat trust as a performance metric alongside efficiency. The report identifies the shifts needed for brands to operate confidently in an AI accelerated ecosystem, where traditional measures no longer reflect true engagement. It highlights how adopting robust validation, multi-signal intelligence and context-led decision making can safeguard both performance and brand reputation.”

Dhiraj Gupta, CTO and Co-founder, mFilterIt, said, “Fraud today mirrors human behaviour at scale, making traditional rule-based systems obsolete. The future of digital advertising lies in behavioural, contextual and full-funnel intelligence. mFilterIt’s role is to illuminate the risks the industry has long normalised, helping marketers and platforms move beyond outdated assumptions and adopt strategies that ensure both authenticity and performance across the ecosystem.”

The report reinforces mFilterIt’s role as a custodian of digital trust, moving beyond traditional traffic validation. It introduces a paradigm linking media trust, brand trust and financial trust. This shows how risks at any layer can cascade across the business. The findings reframe ad fraud as a strategic business risk rather than just a media issue. They highlight AI’s accelerating impact on fraud and position fraud intelligence as a leadership function. The report calls for a new era of accountability, transparency and independent oversight in digital media.

About mFilterIt

mFilterIt is a new-age, driven-tech company on a mission to create a safe, transparent, and secure digital ecosystem. Founded in 2015, mFilterIt began by validating ad traffic to empower advertisers with clean data, curb ad spends wastage, and build trust in digital advertising. Over the years with the evolving digital ecosystem and rising threats, this mission expanded beyond media validation to include brand protection and financial protection, enabling businesses to operate safely and with transparency across every digital touchpoint.

Evolving from media trust to safeguarding brand and financial trust, mFilterIt now safeguards the entire digital ecosystem – helping advertisers reach real audiences with intelligence that matters, protecting brands from impersonation and misinformation, and partnering with banks and financial institutions to detect mule accounts, eliminate fraudulent leads, and secure digital transactions.

Banking Fraud and Regulatory Action: Lessons from HDFC’s Controversies

Banking fraud is an unfortunate reality in the financial sector, and even India’s leading private-panel institutions like the HDFC group have had to confront serious allegations. From multi-crore fund misappropriation claims to internal fraud by bank employees—and even regulatory actions that halted new digital initiatives—the HDFC saga provides important insights into the challenges of maintaining robust financial integrity.

Major Cases of Fraud and Misconduct within HDFC Bank

1. Lilavati Trust Fund Misappropriation Allegations

The controversy began when the Lilavati Kirtilal Mehta Medical Trust, which manages Mumbai’s Lilavati Hospital, leveled several allegations against HDFC Bank’s top executive, CEO Sashidhar Jagdishan. The Trust claimed that:

• ₹2.05 crore was paid in bribes to influence internal decision-making in favor of a rival faction.
•  ₹25 crore was transferred into an HDFC Bank account without proper authorization.
• An additional ₹1.5 crore was falsely recorded as a Corporate Social Responsibility (CSR) donation.
• HDFC Bank adamantly denied these assertions, describing them as attempts to derail the bank’s ongoing legal endeavors to recover a long-outstanding loan of ₹65.22 crore from Splendour Gems Ltd—a firm with historical ties to the Mehta family.

2. Fraud by a Relationship Manager Involving a ₹3 Crore Transfer

In another striking case, customer Meenakshi Kapuria alleged that her trusted relationship manager, Payal Kothari, defrauded her by transferring ₹3 crore from her fixed deposits into fraudulent accounts. Key details of the case include:

• Kothari convincing Kapuria to sign blank cheques under the guise of investing in lucrative schemes, such as mutual funds and gold bonds.
• The unauthorized breaking of fixed deposits and subsequent rerouting of funds into accounts set up for fraudulent purposes.
• A deliberate change in Kapuria’s registered contact details to delay any alerts regarding these transfers.

The Bombay High Court took note of the mismanagement, condemning the slow response from local police. HDFC Bank later reimbursed almost the entire disputed amount (₹2.9 crore) and confirmed that enhanced internal controls were being implemented to prevent such occurrences in the future.

3. Regulatory Action: RBI’s Temporary Ban on New Credit Card Issuances

In a significant regulatory move, the Reserve Bank of India (RBI) in December 2020 temporarily barred HDFC Bank from issuing new credit cards and launching additional digital initiatives. This action came as a result of repeated outages in HDFC’s online and mobile banking services:

• Multiple disruptions over a two-year span highlighted vulnerabilities in the bank’s IT infrastructure.
• A major outage on November 21, 2020—stemming from a power failure at the primary data center—triggered concerns about service resilience.
• The RBI mandated that HDFC Bank address accountability measures and upgrade its IT systems before the resumption of new credit offerings.

Following substantial corrective measures, the ban was lifted in 2022, enabling the bank to resume its credit card business.

Other Alleged Frauds and Irregularities within the HDFC Group

Beyond these headline-grabbing cases, various other statements and reports have raised concerns about internal practices within the broader HDFC group. While many of these incidents have not attracted the same level of public or regulatory scrutiny as the cases above, they nonetheless highlight systemic challenges:

• Internal Process Irregularities: Aside from the high-profile misappropriation cases, there have been reports of isolated incidents where internal controls within certain HDFC group operations—ranging from the bank’s retail and corporate divisions to its mutual fund and brokerage entities—appeared to falter temporarily. These isolated irregularities have occasionally involved unauthorized or unexplained fund movements, prompting additional internal audits and adjustments to compliance protocols.
• Employee Misconduct: There have been instances, similar in nature to the relationship manager fraud, where smaller-scale misconduct by bank employees came to light. Such cases, although less publicized, reinforce the need for continuous staff training and vigilant monitoring of employee activities.
• Operational and IT Vulnerabilities: Beyond fraud allegations, recurring operational lapses (such as the outages leading to the RBI intervention) have raised questions about the integrity of digital transactions and the robustness of security measures. This has spurred the HDFC group to continuously invest in upgrading its IT infrastructure and fraud detection systems.

While many of these allegations have been quickly addressed through internal reforms and increased regulatory oversight, they serve as important reminders that even well-established financial institutions must remain proactive in combating fraud and maintaining customer trust.

How Banks Combat Fraud and Secure Their Operations

The HDFC group’s experience—with both high-profile controversies and more minor irregularities—underscores the need for robust anti-fraud measures throughout the banking sector. Key initiatives include:

1. Advanced Fraud Detection Technologies

Banks today leverage artificial intelligence and machine-learning algorithms to monitor transactions in real time, spotting anomalies quickly and reducing the window for potential fraud.

2. Multi-Factor Authentication (MFA) and Enhanced Cybersecurity

Institutions enforce stringent security protocols, including passwords, one-time passwords (OTPs), and biometric verification, to protect customer data and ensure that only authorized transactions occur.

3. Rigorous Internal Audits and Regulatory Oversight

Regular internal audits and compliance checks—alongside vigilant oversight by bodies like the RBI and SEBI—are critical in identifying and rectifying lapses before they evolve into larger issues.

4. Customer Education and Awareness

Banks routinely engage with their customers, advising them on best practices such as regularly checking account activity, updating contact details, and being cautious of unsolicited requests for sensitive information.

Conclusion

The HDFC group’s multiple challenges—from the dramatic allegations involving its top executive and relationship managers to broader internal irregularities—serve as lessons for the entire banking industry. They spotlight the importance of robust internal controls, advanced security technologies, and proactive regulatory oversight. For customers and stakeholders, the message is clear: while banks are improving their systems continuously, awareness and vigilance remain key in safeguarding one’s financial interests.

Would you like more details on other regulatory actions across the banking sector or insights into how emerging technologies are reshaping fraud prevention?

Accenture Invests in Deepfake Detection Startup Reality Defender

Accenture has made a strategic investment in Reality Defender, a cybersecurity company specializing in deepfake detection, through its venture arm, Accenture Ventures.

Notably, Accenture has invested in Reality Defender as part of the startup's $33 million series-A-extended round of funding, which is led by Illuminate Financial, with participation from Accenture, Booz Allen Ventures, IBM Ventures, and the Jefferies Family Office.

Reality Defender, which won the RSA Innovation award, offers solutions to detect and prevent deepfake fraud across various industries, including financial services, media, and high-tech.

The partnership aims to equip clients with the ability to rapidly identify, detect, respond to, and prevent deepfake fraud, ensuring a more secure digital landscape. Reality Defender's technology includes real-time voice detection and audiovisual detection to catch even the most advanced AI-generated content.

Founded in 2021, by Ben Colman, Ali Shahriyari, and Gaurav Bharaj, and based in New York, Reality Defender provides solutions to detect and prevent deepfake fraud across various industries, including financial services, media, and high-tech. Ben Colman serves as the Co-Founder and CEO, Ali Shahriyari is the Co-Founder and CTO, and Gaurav Bharaj is the Co-Founder and Head of AI.

Reality Defender Founders - Ben Colman, Ali Shahriyari, and Gaurav Bharaj

 Reality Defender's technology includes real-time voice detection and audiovisual detection, which can identify even the most advanced AI-generated content. Reality Defender has recently introduced a tool for real-time video deepfake detection, which is currently in private beta for select clients.

The cybersecurity startup has received recognition for its innovative solutions, including winning the RSA Innovation award and being named the Most Innovative Company at RSA's Innovation Sandbox competition.

Accenture's Cyber Intelligence researchers have documented a staggering 223% spike in deepfake-related tool trading on dark web forums in the first quarter of 2024, compared to the same period in 2023. This escalating issue requires immediate attention and education to reduce its potential damaging impacts.

Accenture intends to integrate Reality Defender’s capabilities into its existing deepfake detection and protection offering, including extending it to their call center AI automation solution.

“As deepfakes become more convincing and harder to identify, organizations urgently need scalable and effective detection solutions,” said Paolo Dal Cin, global lead, Accenture Security. “Reality Defender offers a unique approach to proactively detect AI-related threats across image, audio, text and video. Our investment in Reality Defender demonstrates our strong commitment to helping clients confidently navigate the gen AI driven threat landscape, mitigate financial fraud and maintain the integrity of their digital communications.”

Reality Defender is the latest company to join Accenture Ventures’ Project Spotlight, an engagement and investment program focused on working with companies that create or apply disruptive enterprise technologies.

Most recently, the companies that have received investment from Accenture Ventures under Project Spotlight include Martian, Earli Inc, and an AI startup Turbine while cybersecurity/ quantum security companies are – Aliro Quantum, Tenchi Security, SpiderOak and Interos.

Aadhaar (AePS) -Related Banking Scams on the Rise, 5 Key Things You Must Do

The Aadhaar-enabled Payment System (AePS) in India has recently faced exploitation by cybercriminals, leading to depositors losing their hard-earned savings through these frauds. These scams often involve cloned or fraudulently obtained fingerprints to access victims' bank accounts.

In one instance, a gang of cybercriminals in Hyderabad fraudulently withdrew ₹14.64 lakh from 149 customers. In an another AEPS related scam in Bihar, cyber criminals exploited the victim's Aadhaar biometrics data obtained from government land records to make transactions using the AePS.

The civil society platform, Bank Bachao Desh Bachao Manch, has raised concerns about these scams and urged the Reserve Bank of India to take action.

To protect against AePS fraud, users are advised to lock their Aadhaar biometrics and regularly monitor their bank accounts for any suspicious activity.

To protect yourself and prevent misuse of Aadhaar data, consider the following steps:

1. Lock Your Biometrics: Use the m-Aadhar app or the Unique Identification Authority of India (UIDAI) website to lock your biometrics. This prevents unauthorized access to your Aadhaar data.

• Use virtual IDs: Process online transactions using a virtual ID instead of Aadhaar.

2. Contact Your Bank: If you become a victim of AePS fraud, immediately contact your bank's helpline number and report the fraudulent transaction. Provide any relevant details, such as SMS or email notifications.

3. Block Your Account: Request your bank to temporarily block your account to prevent further unauthorized transactions. Change your PIN, internet banking password, and other relevant passwords associated with your account.

4. File a Police Complaint: Report the incident to the National Cyber Crime Reporting Portal. You have 90 days to raise a chargeback on the transaction by approaching your bank or calling their service helpline.

5. Know Transaction Limits: AePS has per-day and amount-specific limits. Currently, the maximum limit for a single transaction is ₹10,000, with a maximum of five transactions per day. Be vigilant and block your account immediately if you notice any suspicious activity.

The government has acknowledged the issue and is working on measures to enhance the security of the AePS to prevent such frauds in the future.

Mastercard Acquires Recorded Future, World’s Largest Threat Intelligence Co., for $2.65 Bn

Mastercard has made a significant move by acquiring Recorded Future for $2.65 billion. Recorded Future is the world’s largest threat intelligence company, with more than 1,900 clients across 75 countries, including the governments of 45 countries and over 50% of the Fortune 100.

This acquisition is aimed at bolstering Mastercard's cybersecurity capabilities, particularly in threat intelligence. Recorded Future, known for its AI-powered analytics, provides real-time visibility into potential cyber threats, which will enhance Mastercard's identity, fraud prevention, and real-time decisioning services.

This acquisition underscores the growing importance of cybersecurity in the digital economy, especially as cybercrime is projected to cost $9.2 trillion globally in 2024.

By integrating Recorded Future's advanced technologies, Mastercard aims to innovate faster and anticipate emerging threats, providing greater security and peace of mind for its network of merchants and financial institutions.

With Recorded Future’s advanced threat intelligence, Mastercard can offer more robust cybersecurity solutions. This could pressure competitors like Visa and American Express to enhance their own cybersecurity measures to stay competitive. The integration of AI-powered analytics from Recorded Future will likely lead to more innovative fraud prevention and real-time decisioning services. Competitors may need to invest in similar technologies or partnerships to keep up.

The need for a holistic and global cyber defense has never been greater. As new technologies are introduced and adopted, there is a rising risk of cyber threats. In 2024 alone, cybercrime is projected to cost $9.2 trillion globally.

The acquisition highlights the growing importance of cybersecurity in the financial sector. Competitors might increase their investments in cybersecurity to ensure they are not left behind.

Overall, this move by Mastercard could set a new standard in the industry, prompting competitors to accelerate their own cybersecurity initiatives to maintain their market positions.

Of late, Mastercard is extensively integrating innovative solutions in its business and services via both in-house and acquired solutions.

In June, Mastercard launched its Mastercard Crypto Credential, which enables peer-to-peer (P2P) transactions using aliases instead of long and complex blockchain addresses.

Last year in March, Mastercard acquired Baffin Bay Networks, a company specializing in distributed threat protection against DDoS attacks and web applications. This acquisition is part of Mastercard’s efforts to strengthen its cybersecurity infrastructure.
To recall, in 2021, Mastercard acquired the European open banking platform Tink for approximately $2.15 billion. This acquisition aimed to enhance Mastercard’s open banking capabilities and provide better financial services to consumers and businesses.

These acquisitions reflect Mastercard’s focus on enhancing its cybersecurity and threat intelligence capabilities, ensuring greater security for its network of merchants and financial institutions.

Cognizant and FICO to Provide Real-Time Payment Fraud Prevention Solution to Banks

Cognizant and FICO have joined forces to address the challenge of real-time payments fraud. Their planned collaboration aims to provide a cloud-based real-time payment fraud prevention solution powered by FICO Falcon Fraud Manager.

The joint offering leverages both firms' artificial intelligence (AI) and machine learning (ML) technology to help banks and other payment service providers in North America protect their customers from fraud in the growing world of instant digital payments.

While real-time payments have brought speed and convenience, they have also opened the door for scammers. The Cognizant and FICO solution aims to provide real-time fraud prevention by seamlessly integrating with the real-time payments rails. It is expected to enable the detection and blocking of fraudulent transactions with greater accuracy, minimizing losses and ensuring a secure consumer experience.

The collaboration combines the Cognizant communication layer and clearing gateway with FICO Falcon Fraud Manager, which is a leading payments fraud management solution.

The solution targets multiple payment clearings, including FedNow, RTP, and SEPA Instant Credit Transfer.

Banks of all sizes can implement this proposed cloud-based solution on a pay-per-use or licensing basis, eliminating upfront costs. Additionally, the solution handles complex compliance requirements and integration tasks, allowing businesses to focus on their core operations.

Nageswar Cherukupalli, Senior Vice President & Business Unit Head of Banking & Capital Markets and Strategic Initiatives of Cognizant, emphasizes that the collaboration intends to provide an AI- and ML-based layer of protection against sophisticated threats, enhancing consumer safety and reducing losses.

In summary, this partnership aims to create a safer and more secure future for real-time payments, ensuring that customers are protected in the evolving landscape of digital transactions.