Deepfake-enabled fraud is rising as a high-impact attack vector targeting financial institutions, customers, and transaction ecosystems, leveraging synthetic voice, video, and identity manipulation to bypass traditional verification mechanisms.

These AI-driven impersonation attacks exploit trust in real-time, speed-first transaction environments by embedding themselves in legitimate channels such as calls, video verifications, and approval workflows, complicating detection.

Seqrite warns that AI-powered impersonation attacks use synthetic voice, video, and identity manipulation to exploit trust across financial institutions, customers, and transaction workflows.

Seqrite’s India Cyber Threat Report 2026 shows rapid threat activity, recording more than 265.52 million detections across over 8 million endpoints between October 2024 and September 2025, averaging about 505 detections per minute.

The report notes Trojan and file infector families dominate detections, together making up about 70% of incidents, with social engineering increasingly tied to AI-driven impersonation.

Analysts expect AI-driven, adaptive threats to increasingly bypass conventional controls, underscoring the need for proactive defenses.

Seqrite offers solutions to counter this risk, including the Seqrite Digital Risk Protection Service for detecting impersonation across external surfaces, Seqrite Data Privacy to support DPDP Act readiness through data discovery and governance, and Quick Heal AntiFraud.AI for user-level behavioral analytics.

Experts recommend shifting from static identity checks to dynamic, behavior-led validation, with multi-layered authentication, transaction-flow anomaly detection, and monitoring of communications for manipulation signals.

The report highlights that environments where transaction speed outpaces verification depth are especially vulnerable to these attacks.

Detections show Trojan infections at about 43% and file infectors at about 35%, with campaigns leveraging social engineering and identity deception heightened by AI to improve fraud precision.

The piece frames deepfake fraud as part of a broader shift toward cognitive and identity-led cyberattacks, calling for continuous trust verification and adaptive security controls.

Regulatory implications under the DPDP Act 2023 mean deepfake-enabled breaches can lead to unauthorised access, identity misuse, penalties, and reputational damage for financial institutions, stressing enhanced data protection.