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Analysis Study Research Paper | Information Technology | Volume 15 Issue 3, March 2026 | Pages: 1599 - 1601 | United States
Defend Against Deepfake Cyberattacks: A Scenario-Based Zero Trust Blueprint for Synthetic Media Resilience
Abstract: Deepfakes have shifted from novelty to operational cyberweapon. Audio, video, and image forgeries now amplify familiar social engineering patterns by increasing perceived authenticity, compressing decision time, and exploiting trust in leadership voices, customer identities, and visual proof. This paper proposes a scenario-based defense model that combines a deepfake threat assessment method with a Zero Trust-aligned control blueprint spanning people, process, and technology. The method enumerates deepfake scenarios mapped to business workflows, scores likelihood and impact using organizational exposure factors, and prioritizes layered mitigations emphasizing independent verification, strong identity assurance, secure communication patterns, and governance. The blueprint includes transaction and support-desk guardrails, targeted training, content provenance where feasible, and an incident response playbook tailored to synthetic media events. The goal is durable resilience: even when detectors are imperfect and media quality improves, high-impact actions remain verifiable through trusted channels and process discipline.
Keywords: deepfake, synthetic media, executive impersonation, invoice fraud, identity verification, Zero Trust, incident response, content provenance
How to Cite?: Thirupathaiah Peram, "Defend Against Deepfake Cyberattacks: A Scenario-Based Zero Trust Blueprint for Synthetic Media Resilience", Volume 15 Issue 3, March 2026, International Journal of Science and Research (IJSR), Pages: 1599-1601, https://www.ijsr.net/getabstract.php?paperid=SR26324064723, DOI: https://dx.dx.doi.org/10.21275/SR26324064723