Deepfakes are becoming a weapon in the hands of malicious actors, capable of causing significant reputational, financial, and operational damage to organizations.
Cybersecurity measures are not always keeping pace so executives must proactively add deepfake scenarios to their crisis management plans to navigate this evolving threat landscape.
Understanding the Enterprise Deepfake Threat
Deepfakes leverage machine learning algorithms to synthesize and manipulate media. While the technology itself is complex, its impact is simple: creating convincing fake videos, audio recordings, or even text messages.
Imagine a fabricated video of a CEO making inflammatory remarks, or an audio clip of a CFO authorizing a fraudulent transaction. These scenarios, once improbable, are now a tangible risk. For example, the CEO of Pfizer, Albert Bourla, was shown to say: “we aim to reduce the number of people in the world by 50%”.
The potential impact on organizations is notable, ranging from executive impersonation and manipulation of employees and customers to the dissemination of false information and propaganda.
Integrating Deepfakes into Crisis Management Protocols
Integrating deepfakes into crisis management protocols requires a multi-faceted approach. First, organizations must conduct a thorough risk assessment and scenario planning. This involves identifying potential deepfake attack vectors specific to their operations.
For example, a company heavily reliant on video conferencing might be more vulnerable to executive impersonation. Realistic deepfake scenarios should be developed, considering the impact on various stakeholders, including employees, customers, investors, and the media.
Next, clear protocols for verification and communication must be established. Pre-approved messaging for deepfake incidents should be developed, allowing for swift and accurate responses.
During the crisis the use of multiple communication channels, such as social media, email, and press releases, ensures that the message reaches diverse audiences effectively. Internal communication is equally critical, ensuring that employees are informed and aligned with the organization's response.
Strengthening Detection and Verification Processes
Detection and verification processes are at the front and centre when defending against deepfakes. Implementing deepfake detection software that analyzes images, video, audio, and text for signs of manipulation is a crucial step.
Internal verification protocols, such as "four-eyes checks" and code words, can add an extra layer of security. In cases of suspected deepfakes, leveraging external experts for forensic analysis can provide definitive proof of manipulation.
Practical steps for crisis preparedness extend beyond protocols and technology. Conducting regular tabletop exercises and simulations is essential to test the effectiveness of crisis management plans.
Employee training and awareness are equally vital. Comprehensive training programs on social engineering and deepfake detection should be implemented.
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A crisis management plan is wise as it will help minimize any losses due to a successful attack. AI-powered deepfake detection and verification technology can help quickly identify and respond to deepfakes before there is any risk of attack success.
