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How Businesses Can Build Disinformation Resilience

August 1, 2025

The digital landscape has rapidly advanced, fueled by generative AI and other transformative technologies. Although this has come with great opportunities, it has also introduced new strategic threats. Among these is disinformation. The World Economic Forum classifies misinformation and disinformation as a top global threat alongside conflict and environment in its 2025 global risks report. With generative AI becoming more sophisticated, threat actors (like deepfakes, voice cloning, viral hoaxes and AI-driven scams) are increasing in frequency and precision. Therefore, business leaders need to act fast to build disinformation resilience.

Why Disinformation Matters for Business

Disinformation is the intentional spread of false or misleading information with malicious intent. This is unlike misinformation, which is unintentional and often shared by individuals who believe it’s true. However, both can have serious consequences for a business.

Historically, disinformation mainly targeted political processes or public institutions. Today, this threat has expanded to the corporate world to become a strategic business risk.

For example, a deepfake video of a CEO announcing mass layoffs will likely affect a company’s stock price. While fake reviews – positive or negative – can also sway consumer decisions. A viral tweet might spark public backlash and disrupt operations. In the United States, billions of dollars have already been lost from disinformation created by deepfakes, with the figures expected to rise in the coming years.

Impact of Disinformation on Business Operations

Disinformation impacts a business in various ways, such as:

  • Financial risk – false narratives can manipulate market behavior or stock prices.
  • Reputation and trust – fabricated information can erode customer trust and brand credibility.
  • Internal noise – false information can lead to confusion or the unintentional spread of incorrect content.
  • Operational disruption – false reports may trigger emergency protocols, overreactions or divert resources from core objectives.
  • Regulatory and legal exposure – new laws hold platforms and even companies accountable for hosting or spreading harmful fake content.

Building a Proactive Disinformation Resilience Strategy

To effectively counter disinformation, businesses need a comprehensive strategy that integrates technological solutions, human intelligence, and proactive communication.

  1. Awareness and Training
    Employees are a great asset and at the same time can be a potential vulnerability. Therefore, all employees from frontline staff to C-suite should be aware of how disinformation works, know red flags, and be empowered to verify suspicious content. They should frequently undergo comprehensive training programs that focus on digital literacy, critical thinking, and fact-checking techniques.
  2. Monitoring and Detection Tools
    Early detection is crucial. It requires advanced monitoring tools that deploy AI-powered social listening, threat intelligence platforms, and real-time deepfake detection systems that analyze image, video, and audio content. Combining these tools with automated alerts enables a swift response before a false narrative spreads.
  3. Robust Internal Protocols
    Develop and enforce clear escalation protocols for suspected disinformation. These should detail a chain of command, verification steps, and PR responses. Employees must know whom to alert and how to safeguard systems quickly.
  4. Platform and Partnership Engagement
    Collaborate with social platforms, fact checkers, and cybersecurity firms to detect and report false content. This will also help build relationships with journalists and analysis firms to enable faster content removal and more credible public debunking.
  5. Trust-First Content Strategies
    Deploy blue-check verified accounts, metadata authentication, digital signature,s and watermarking. A business also may consistently share authentic updates, reinforce company values, and build a track record of transparency to strengthen stakeholder trust.

Policy and Regulatory Landscape

Governments worldwide are recognizing the gravity of this threat. New laws are emerging globally to hold platforms accountable and to protect individuals and businesses.

One example is the Take It Down Act, signed into law on May 19, 2025, which mandates the removal of non-consensual deepfakes. This sets a legal precedent for holding platforms responsible for hosting synthetic media that harms individuals or businesses.

Other legal frameworks are evolving globally with a focus on developing fact-checking and AI-usage policies. Businesses must stay informed of the latest regulations and ensure their internal policies are compliant.

Future Proofing with AI and Collaboration

While generative AI can be used wrongly, it is also a powerful tool in real-time detection and content verification. Since the fight against disinformation is a continuous journey of adaptation and vigilance, businesses must:

  • Integrate advanced detection systems into their security stack
  • Standardize watermarking across distributed content
  • Engage in multi-stakeholder alliances across industries and governments to share insights and define best practices

Conclusion

In an era where false information spreads faster than the truth, disinformation is no longer just a public concern but also a serious business risk. The threat landscape is evolving fast with deepfake scams and coordinated smear campaigns; hence, corporate strategy must evolve, too. Businesses have to build disinformation resilience through proactive systems, employee awareness, trusted communication channels, and ongoing vigilance.


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