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Fraud losses surge with AI-enhanced techniques bypassing traditional controls

Reported fraud losses in India surged nearly fourfold between FY24 and FY26, with criminals increasingly using AI-generated deepfakes and phishing emails to bypass traditional financial controls. Finance leaders warn that AI-enhanced fraud techniques now defeat conventional detection methods, prompting organizations to adopt machine learning and behavioral analytics.

21 August 2026 Β· Fraud, scams and manipulation
21 August 2026
AII-1000-463292 sources ↓
Quick facts
Organization
Experian
Category
Fraud, scams and manipulation
Country
India
Source
Economic Times
Date
21 August 2026
Drafted by
Raidu Incident Detection

What happened

In India, reported fraud value rose nearly fourfold from Rs 12,230 crore in FY24 to Rs 48,021 crore in FY26, with fewer but larger cases, according to Experian's analysis of RBI data.

Fraudsters increasingly use AI technology to create convincing phishing emails and deepfake videos of executives to bypass traditional fraud detection controls.

A finance employee was deceived by an AI-generated deepfake video appearing to show the CEO, leading to an unauthorized wire transfer.

Reported impact

Finance organizations relying on traditional controls such as email scrutiny and visual confirmation of identity now face increased vulnerability to AI-enhanced fraud.

The shift from numerous small fraud cases to fewer but larger ones suggests organized criminal networks using advanced technology.

Index analysis

AI-generated phishing emails now exhibit casual tone, contextual appropriateness, and correct grammar, eliminating traditional warning signs that made fraudulent communications easy to identify.

Deepfake technology has advanced to the point where video and audio impersonation is nearly indistinguishable from authentic recordings, and this progression from obviously fake to convincing occurred within months.

Governance controls

Lenders are adopting machine-learning-based fraud solutions and application-level analytics to identify fraud earlier, with 58% of organizations using such systems reporting improved detection ability.

Finance leaders are advised to shift from assuming trust as default to operating on the assumption that trust will be tested.

Classification

Organization
Experian
Category
Fraud, scams and manipulation
Industry
Financial and insurance services
Country
India
Harm status
Actual harm
Intent
Intentional
Timing
Unknown
Harm types
Economic or property
Harmed
Business, Consumers
Failure modes
Hallucination, Deepfake video, Voice clone
AI systems
AI deepfake generation, AI-enhanced phishing

Sources and evidence

This record was researched and written by the Index, based on the following original reporting.

Economic Times
GFF 2026: Fraud value jumps nearly to Rs 48,021 crore even as cases fall, says report
25 August 2026
Accounting Today
AI-powered fraud is breaking traditional controls
25 August 2026