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NewsJun 15, 20242 min read

AI-Powered Social Engineering: Deepfake Attacks Target Business Processes

FBI and security industry reports document a surge in AI powered social engineering using deepfake voice and video. Here is what organizations need to know and how to defend against these evolving tactics.

By 3SN Editorial
#AI#Deepfake#Social Engineering#Business Email Compromise#Voice Phishing
AI-Powered Social Engineering: Deepfake Attacks Target Business Processes
Threat Intelligence
Jun 15, 20243SN Newsroom

AI-Powered Social Engineering: Deepfake Attacks Target Business Processes

FBI and security industry reports document a surge in AI powered social engineering using deepfake voice and video. Here is what organizations need to know and how to defend against these evolving tactics.

AI-Powered Social Engineering: Deepfake Attacks Target Business Processes

TL;DR

  • Security researchers and the FBI report a significant increase in AI generated deepfake voice and video attacks against businesses.
  • Attackers use deepfakes to impersonate executives during video calls and voice conversations to authorize fraudulent transfers.
  • Organizations must implement out of band verification, security awareness training on AI threats, and technical controls to detect synthetic media.

The short version

Security researchers and the FBI documented a dramatic surge in AI powered social engineering attacks throughout 2024. Attackers now use readily available deepfake tools to clone executive voices and create synthetic video for real time calls. These attacks target finance teams and employees with transaction authority, using the apparent legitimacy of live video to bypass normal verification instincts.

The technology has democratized to the point where attackers need minimal technical skill to create convincing fakes. This represents a fundamental shift in the social engineering landscape. What once required sophisticated phishing emails can now be accomplished with a few minutes of audio sample and a video call. Organizations must adapt their defenses accordingly.

Why this matters beyond a single product

AI powered social engineering represents an arms race that no single product can win. Deepfake technology improves continuously, making technical detection an incomplete solution. The real defense lies in organizational culture and processes: creating environments where verification is expected, urgency does not override security, and employees feel empowered to push back on suspicious requests regardless of apparent authority.

This threat also exposes the fundamental vulnerability of knowledge based authentication. Voice and video are increasingly unreliable as identity verification factors. Organizations must move toward cryptographic authentication and out of band verification that cannot be spoofed by AI. The trust model that served businesses for decades is being actively undermined by accessible AI tools.

Practical next steps for teams

Start by implementing out of band verification for any transaction or sensitive action. This means calling back on a known number, requiring in person confirmation, or using pre established verification codes. Train employees to recognize that urgency is a common social engineering tactic. No legitimate business requirement should bypass security verification.

Review your security awareness program to include AI specific threats. Help employees understand what deepfakes look like, how they work, and why verification matters more than ever. Create clear escalation paths so employees can quickly verify suspicious requests without bureaucratic friction. If you only have time for one action today, establish a simple verification protocol for financial transactions and communicate it clearly to your team.

3SN perspective

Technology alone cannot solve social engineering. AI makes the technical challenge harder, but the core defense remains human: creating organizations where security is a shared responsibility and verification is a cultural norm. We believe the best defense against AI powered attacks is building human judgment and processes that assume deception is possible. When employees understand the threat and have clear tools to respond, they become your strongest security layer rather than your weakest link.

What happened

Throughout early 2024, the FBI and multiple security firms documented a surge in AI powered social engineering attacks. Attackers use deepfake technology to clone executive voices and create synthetic video during real time calls. These deepfakes are convincing enough to fool employees into authorizing wire transfers, sharing credentials, or revealing sensitive information during what appear to be legitimate conversations with company leadership.

Who’s affected

Organizations of all sizes are being targeted, with a particular focus on finance teams, accounts payable departments, and employees with authority to approve transactions. Small and medium businesses are especially vulnerable because they often lack the technical controls and verification processes that larger enterprises have implemented.

What to do now

  1. Implement out of band verification for any financial transaction or credential reset request.
  2. Train employees to recognize signs of deepfake media including unusual facial movements or audio artifacts.
  3. Establish clear verification protocols that cannot be bypassed even during urgent seeming executive requests.

Technical analysis

Mitigations & recommendations

critical

Mandate out of band verification for financial transactions

Require callback verification through a known number or in person confirmation for any wire transfer, payment authorization, or credential reset. No exceptions for urgency or apparent executive authority.

high

Implement deepfake awareness training

Educate employees about AI powered social engineering tactics, the limitations of video and voice as authentication factors, and the importance of verification protocols.

medium

Deploy technical detection controls

Consider solutions that analyze media for synthetic artifacts. Implement email filtering for voice messages and establish policies for handling unsolicited video calls.

high

Create escalation procedures for unusual requests

Establish clear channels for employees to quickly verify suspicious requests without fear of reprisal. Empower employees to pause and verify even urgent seeming communications.