Author: Avi Bansal , a student of Maharaja Surajmal Institute, GGSIPU
Abstract
In the last few years retail investors in India have been aggressively courted by “AI powered” trading apps and signal services that promise to do all the thinking for them and deliver steady profits. A growing number of these platforms are not investment tools at all but carefully designed scams that blend deepfake videos, slick dashboards and social media campaigns to separate people from their savings.
This article looks at how such scams actually function and then places them against the Indian legal framework. It examines key provisions of the Information Technology Act 2000 the Indian Penal Code 1860 and SEBI’s regulatory regime including the Prohibition of Fraudulent and Unfair Trade Practices Regulations 2003 and rules on investment advisers. The central argument is that although our statutes already contain tools to deal with deception and misuse of technology enforcement in practice still lags behind the speed and sophistication of AI assisted investment fraud especially where deepfakes are used to manufacture trust.
To the Point
On the ground AI trading scams usually do not look like crude spam. They present themselves as legitimate algorithmic trading platforms paid AI signal groups on WhatsApp or Telegram or robo advisers that claim to be using complex models to generate safe monthly returns. The websites and apps often look professional with charts that move in real time and interfaces that resemble genuine broker terminals. Some campaigns rely on deepfake clips of respected personalities or government leaders to endorse the product and make it feel familiar and trustworthy.
Victims are drawn in with small initial gains and fast withdrawals which creates a sense that the system works. Over time the tone shifts from persuasion to pressure. People are urged to scale up capital pay extra charges or deposit money to unlock higher tiers. Eventually withdrawals become difficult and then impossible. When victims begin to question the platform their access is cut off and the operators disappear leaving behind only frozen dashboards and dead contact numbers.
From a legal standpoint this is not only a story about gullible investors. It is a pattern of conduct that involves cheating dishonest inducement impersonation of authorised intermediaries misuse of computer resources and violations of securities regulation. The main challenge for the system lies in recognising the composite nature of these offences and ensuring that complaints are not bounced between cyber police SEBI and banks without a coordinated response.
Use of Legal Jargon in Context
When we strip away the marketing language the legal picture becomes clearer. The operators of these platforms act with mens rea. There is an intention to mislead investors about risk returns and the very nature of the activity. They rely on synthetic identity fabrication through deepfakes forging endorsements or pretending to be SEBI registered advisers or research analysts. In substance this is cheating by personation carried out through digital means.
Under SEBI’s Prohibition of Fraudulent and Unfair Trade Practices Regulations conduct that involves misrepresentation dissemination of false information or use of deceptive devices in relation to securities can amount to a fraudulent or unfair trade practice. Fake dashboards that simulate real trades fabricated profit statements and messages promising assured returns fit within this frame. At the same time the technical side of the operation often meets the ingredients of misuse of computer resources under Section 66 of the IT Act especially where platforms interfere with authorisation block transactions or harvest credentials.
Where scammers collect login details KYC information or one time passwords and use them to operate accounts or sign up victims identity theft under Section 66C and cheating by personation using computer resources under Section 66D are attracted. On the IPC side sections dealing with cheating and forgery give the prosecution a more traditional criminal law backbone which remains important for trial practice and sentencing.
The Proof
The idea of AI powered investment scams sounds abstract until we look at real incidents. Seqrite Labs in research publicised by Quick Heal has documented campaigns where deepfake videos of well known business figures and public officials were used in social media ads and messaging apps to drive traffic to fraudulent trading sites. These sites offered dashboards that looked almost indistinguishable from genuine online broker terminals with moving charts and profit figures. Initial withdrawals were permitted and even encouraged to build trust. Later investors were persuaded to deposit larger sums which were quietly siphoned off.
In one case that drew national attention a 79 year old woman from Bengaluru lost more than 34 lakh rupees after responding to an advertisement featuring a deepfake clip of a respected technology entrepreneur endorsing a supposed government backed AI trading scheme. Around the same time a retired IAS officer in Hyderabad was defrauded of over three crore rupees after repeatedly investing through a WhatsApp group that described itself as an exclusive AI powered trading circle. These are not isolated stories. McAfee’s India research in 2025 indicated that a high percentage of users had encountered AI generated celebrity endorsements linked to scam websites with significant average losses per victim.
Alongside these incidents SEBI has been issuing cautionary material to investors on Ponzi schemes unregistered advisers and products that come with unrealistic promises. Its communications consistently stress three points that are directly relevant to AI trading scams. High returns with low or no articulated risk should ring alarm bells. Unregistered entities and unlicensed sellers sit at the centre of most such schemes. Difficulty in receiving payments or withdrawals is a classic red flag of fraud.
Relevant Laws and Statutory Provisions
Information Technology Act 2000
The IT Act provides the core cyber offences that can be used against operators of AI trading scams. Section 43 deals with unauthorised access and damage to computer systems. Section 66 turns certain forms of unauthorised or dishonest use of computer resources into cognisable offences. These provisions are relevant when platforms manipulate data interfere with authorisation or restrict access to accounts for fraudulent ends.
Section 66C targets identity theft. It penalises fraudulent use of another person’s credentials whether passwords digital signatures or other authentication data. In scenarios where scammers persuade victims to share login details or capture OTPs through social engineering this section becomes central. Section 66D concerns cheating by personation using computer resources and is engaged when scammers pose as registered advisers bank officials or trusted platforms via websites apps emails or deepfake content.
Taken together these sections allow cybercrime police to treat AI trading scams as deliberate misuse of computer systems and digital identities to obtain property rather than merely poor investment choices.
Indian Penal Code 1860
The IPC remains central to the prosecution of investment fraud. Sections 415 and 420 on cheating and cheating with dishonest inducement to deliver property capture the essence of AI trading scams false representations about schemes made with intention to cause transfer of funds. When operators fabricate endorsements forge documents showing registration or create false screenshots of account balances provisions on forgery and use of forged documents also apply.
Using IPC charges alongside IT Act offences has a practical advantage. Courts and practitioners are very familiar with cheating and forgery. Framing the case primarily around these offences supported by cyber specific provisions can make it easier for trial courts to follow the narrative and impose appropriate sentences.
SEBI’s Regulatory Framework
Many AI trading scams operate at the edge of the securities market and fall within SEBI’s regulatory reach. Under the SEBI Investment Advisers Regulations 2013 anyone providing investment advice for consideration must be registered and follow a code of conduct. Acting as an investment adviser without registration is illegal. SEBI’s public cautions highlight common malpractices such as offering assured returns charging excessive fees and mis selling high risk products without regard to client risk profiles.
The SEBI Prohibition of Fraudulent and Unfair Trade Practices Regulations 2003 define what constitutes fraudulent and unfair conduct in relation to securities. Activities that involve misleading information deceptive devices or Ponzi like structures can be brought under these regulations. SEBI’s orders debarring unauthorised entities and directing refunds show that even when scams are largely online and run through messaging apps regulatory intervention can work alongside criminal law.
Case Laws and Regulatory Actions
SEBI’s enforcement record reveals patterns connected to AI trading scams even where orders do not use that phrase. In several matters SEBI has restrained entities from accessing the securities market and ordered refunds after finding that they offered assured returns mis sold products and acted as advisers without registration. Those schemes relied on persistent messaging and social media outreach similar to campaigns used by AI trading frauds today.
Legal commentary on the IT Act and cybercrime describes cases where courts treated online job and investment scams as cheating by personation and misuse of computer resources under Sections 66C and 66D along with IPC offences. Cybercrime investigation manuals stress the role of electronic evidence including logs screenshots and backend data supported by Section 65B of the Evidence Act for proving the digital trail of such schemes.
Deepfakes as a tool may be new but the legal logic for dealing with them already exists. If synthetic video or audio is used to impersonate someone and convince investors to part with money existing rules on personation identity theft fraud and misleading communication can be applied without waiting for a separate deepfake statute.
Conclusion
Deepfake infested AI trading scams show how quickly fraudsters adapt familiar Ponzi and advisory models to new technology. The basic tricks are old but the packaging has changed. Trust today is manufactured not only through brochures or word of mouth but through AI generated endorsements polished dashboards and regulatory language that most small investors find hard to decode.
At the level of law India is not starting from scratch. The IT Act addresses misuse of computer resources and digital identities. The IPC deals with cheating forgery and dishonest inducement. SEBI’s regime focuses on registration of advisers and prohibition of fraudulent and unfair practices in the securities market. The real difficulty lies in turning this framework into effective joint action. Cyber police regulators and financial intermediaries need clear protocols for sharing information and responding quickly when deepfake based schemes surface instead of treating each case as an isolated event.
Looking ahead there is room for more explicit guidance on deepfake enabled financial scams stronger duties on platforms that host investment promotions and simple investor education that explains how AI can be misused in plain language. If those measures are combined with existing statutory tools and better coordination AI trading scams can be addressed before they become a routine hazard for ordinary investors.
FAQs
Q1. What is a deepfake based AI trading scam ?
It is an investment fraud where the operators set up fake AI trading platforms or signal services and use synthetic videos or audio of famous people along with convincing dashboards to build trust so that investors feel safe sending money which is then diverted.
Q2. Which Indian laws are normally used against such scams ?
Investigators rely on the Information Technology Act 2000 especially Sections 43 66 66C and 66D together with IPC provisions on cheating and forgery. SEBI’s rules on investment advisers and the Prohibition of Fraudulent and Unfair Trade Practices Regulations 2003 are used when the scam touches the securities market.
Q3. Are guaranteed returns in securities always suspicious ?
In genuine markets returns fluctuate and no adviser can honestly guarantee fixed profits. SEBI repeatedly warns that assurances of high certain returns especially from unregistered entities are a strong indicator of mis selling or fraud.
Q4. How can an ordinary investor avoid falling into an AI trading scam ?
A practical approach is to check whether the adviser or platform is registered with SEBI avoid sending money based solely on ads or forwarded messages be wary of schemes that promise high returns with little explanation of risk and report suspicious apps or losses promptly through cybercrime.gov.in or the national helpline 1930.
Q5. Does Indian law mention deepfakes by name ?
Most statutes do not use the word deepfake but they do cover the behaviour behind it. Using synthetic content to impersonate someone and trick investors into sending money can already be treated as cheating personation identity theft and fraudulent communication under existing provisions.
