Deepfakes and Disinformation Are Now Board-Level Threats
Deepfakes, disinformation and AI-amplified attacks have made brand defense a CEO responsibility, not an IT chore. A new playbook says build reputation infrastructure before crisis strikes.
By Amara Osei
3 min read

What's News
- Revolut is valued at $115 billion and Anduril at $61 billion, part of an agile cohort challenging legacy brands.
- An Iran-affiliated group's cyberattack on Stryker targeted brand credibility, not just infrastructure.
- A Warren Buffett deepfake video titled "The #1 Investment Tip For Everyone Over 50 (MUST WATCH)" ran crypto scams on TikTok and YouTube.
- Google penalizes "scaled content abuse," making mass-produced AI content a reputational risk in itself.
A convincing CEO deepfake can go viral in seconds, and most enterprises have no infrastructure to fight it, according to an Entrepreneur commentary on the new rules of brand defense. The author argues that reputation protection has moved from the IT department and the communications shop to the CEO's desk.
The piece frames the stakes bluntly: brand threats now come from hacker groups, state actors, foreign adversaries, "or even just a troll with Claude and a vendetta." A few years ago, reputation risk meant a stronger competitor, a recession or a product recall. Today, coordinated disinformation, leaks and deepfakes are standard tools of influence, and corporate reputation is the target.
When, not if
"It can't happen to us." The author calls that famous last words. With digital attacks, AI abuse and deepfakes, the question isn't if it will happen — it's when. The biggest brands and leaders are, ironically, easy marks for disinformation, extortion and theft.
Two cases anchor the argument. A cyberattack against Stryker made headlines worldwide after an Iran-affiliated group targeted the healthcare giant. The assault aimed less at infrastructure than at brand credibility and market trust, the author writes, leaving stakeholders asking whether they could trust Stryker and its leaders with their information.
Then there's the Warren Buffett deepfake scam. Roughly a year ago, videos supposedly featuring Buffett spread across TikTok and YouTube — most notably one titled "Warren Buffett: The #1 Investment Tip For Everyone Over 50 (MUST WATCH)." The deepfake used Buffett's image, voice and reputation to legitimize crypto scams. The author says the fallout inflicted serious damage on Berkshire Hathaway's brand credibility and on a legacy Buffett spent decades building.
How does AI accelerate the damage?
Generative AI search tools ingest everything available about a subject. During a reputation incident, AI amplifies the reach, handing attackers a megaphone that flips scandals into instantly viral narratives. Once large language models scan the damaging content, course-correcting gets hard and the controversy's lifespan stretches.
The author calls the core weakness "algorithmic vulnerability." Brands that haven't laid a foundation of verified, AI-readable truth leave platforms like AI Mode and ChatGPT to default to the dominant narrative — the one controlled by adversaries.
The competitive picture compounds the threat. Agile, tech-savvy companies now challenge risk-averse legacy brands directly. The piece names Anduril at a $61 billion valuation, Revolut at $115 billion, plus Anthropic, Canva and OpenAI, all disrupting defense, banking, enterprise software and digital infrastructure. Even Apple, the author notes, faces new volatility from these challengers on top of AI-driven risk.
What should CEOs actually do?
The author lays out a three-part playbook built on owning the narrative in AI search and organic search:
- Map the threat landscape. Analyze and monitor the brand's digital spaces — sentiment, gaps, vulnerabilities and opportunities — to gauge brand health and preparedness.
- Build proactive, controlled visibility. Publish consistent, high-quality thought leadership that creates a reservoir of trust and controlled visibility to draw on when controversy strikes.
- Deploy technology to scale narrative ownership. Monitor and expand the digital footprint faster than adversaries can manipulate it.
One warning: scale shouldn't mean mass-producing AI content. The author points out that AI-generated errors and hallucinations create their own reputational risks, and Google penalizes "scaled content abuse." Human-led production, augmented by AI, is the recommended route.
Together, the author writes, these efforts create a digital moat that absorbs reputational shocks and keeps third parties from drowning out the company's own narrative.
Why complacency is the real risk
The author's bottom line is stark: proactively creating, managing and protecting a brand's narrative isn't a marketing fad — "it's a critical requirement for enterprise survival." Leaders can invest in their future or succumb to complacency. "I do not recommend the latter."
The prescription: reputation management must become a fixed enterprise capability, activated before a crisis, not after the headlines hit.
Original: stryker.com
More from Amara Osei
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Senior reporter covering companies, deals and strategy in entrepreneurship, startups and venture funding at Business Bearings.
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