Imagine scrolling through your feed and suddenly seeing a video of a political leader announcing something that would change everything—a sudden military deployment, a resignation, a national emergency. Your heart races. You feel the urge to share it before your brain catches up. Then, moments later, you learn it was fabricated with artificial intelligence. That moment is no longer hypothetical. During the ongoing 2026 US midterm cycle, political organizations have already released realistic AI-generated videos of candidates saying things they never said, sometimes with disclosures so tiny they are easy to miss. This is happening all over the world. Brazil’s highest electoral court has set binding standards covering synthetic depictions of political figures, and Reuters reports that AI content has become a standard campaign tool operating amid a patchwork of untested laws. Traditional cybersecurity has always focused on protecting systems, networks, and data. But synthetic media attacks something more fundamental: the shared reality that democratic institutions use to make decisions. That is why governments and democratic institutions are asking an intensely practical question: How can we establish what is real quickly enough to act? In a recent World Economic Forum opinion piece, Ben Colman, co-founder and CEO of Reality Defender, lays out the challenge with urgency. It is a question that touches all of us, because what is at stake is not just whether we can spot a fake, but whether we can still trust anything we see or hear at all.
Over the past few months, during briefings with election, security, and public-sector leaders across the Americas, Europe, Asia-Pacific, and Africa, that exact question has surfaced repeatedly. It is not an abstract concern. Ahead of the 2026 Scottish and Welsh elections, officials piloted procedures for detecting suspected deepfakes and for rapidly notifying candidates, law enforcement, and the public. That is a promising start, but the broader picture remains troubling. Generating convincing synthetic media is becoming faster, cheaper, and more accessible every day, while verification remains fragmented and slow. Governments, platforms, and news organizations each hold only part of the evidence. Closing that gap requires independent, multimodal technical analysis inside the communication and decision systems where consequential content first appears. Without that rapid analysis, even a brief delay can have severe real-world consequences. Consider a fabricated video of a military leader announcing troop movements, an audio recording that appears to reveal election interference, or a synthetic emergency message attributed to a national authority. Even if specialists eventually prove these things false, the damage may already be done. Markets can move, protests can ignite, military calculations can shift, and public confidence in an election can be shattered. In a crisis, a few minutes of confusion is all it takes for the false narrative to take hold and for the truth to become an afterthought.
The most visible danger is that citizens will believe something fabricated. But the greater danger is more insidious: citizens may stop believing authentic information altogether. Synthetic media gives bad actors two powerful advantages. They can manufacture evidence to support a lie, and they can dismiss genuine evidence as fake. This is the “liar’s dividend,” and it grows as the public becomes more aware of deepfakes. A 2026 audio study found that participants increasingly distrusted authentic speech even though their ability to identify synthetic speech had not materially improved. This changes democratic accountability in dangerous ways. A legitimate recording of misconduct may be rejected as synthetic. Authentic emergency instructions may be questioned precisely when rapid compliance is essential. Governments may hesitate to respond because officials cannot immediately determine whether the evidence before them is real. This broader erosion of trust is accelerating. According to the Reuters Institute’s 2026 Digital News Report, trust in news fell in 29 of the 48 markets they cover, pushing global trust to its lowest recorded level since measurement began in 2015—just 37 percent. In an information environment increasingly shaped by social platforms, AI chatbots, and synthetic media, establishing whether digital content is authentic is becoming essential to restoring public confidence. The World Economic Forum’s Global Risks Report 2026 again ranked misinformation and disinformation among the world’s most consequential near-term risks. These technological and societal risks reinforce one another. Synthetic media becomes more effective in polarized societies, during armed conflict, and wherever institutional trust is already weak. The technology does not have to create those divisions. It only has to exploit them. Once people no longer trust their own eyes and ears, every piece of information becomes suspect, and democratic deliberation collapses into chaos.
No single intervention can solve this problem. Democracies need a layered trust infrastructure that combines authentication, independent detection, provenance, platform response, crisis protocols, and governance. These six interconnected pillars must work together to verify content and accelerate decision-making. Authentication is the first pillar: official communications need secure, publicly understood methods, including cryptographic signatures, verifiable credentials, and standards like C2PA, to document origin and enable rapid confirmation during crises. Detection is the second pillar: independent, multimodal tools must continuously analyze manipulated audio, video, and images fast enough to inform high-stakes decisions before false narratives take hold. Recent audio research and the RADAR Challenge 2026 demonstrate both the urgency and the technical complexity of this work. Provenance is the third pillar: content credentials such as SynthID or the C2PA standard can provide valuable evidence of how media was generated or modified, but because bad actors can easily strip or omit metadata, provenance cannot independently authenticate unsigned or anonymous uploads. Platforms form the fourth pillar: distribution networks must establish priority pathways to review and mitigate high-consequence synthetic content involving elections, public safety, military activity, or senior officials. Crisis response protocols are the fifth pillar: clear inter-agency procedures must dictate who evaluates suspicious media, what evidence is required, and how conclusions are communicated across agencies, allies, platforms, and the public. These procedures should be exercised before elections and geopolitical crises, when ambiguity and delay can become risks themselves. Governance is the sixth pillar: interoperable legal standards, such as the transparency requirements in the EU AI Act, should establish disclosure, evidence preservation, and accountability requirements for synthetic content. Together, these pillars form something like an immune system for democratic reality—not a perfect shield, but a set of defenses that can limit the harm synthetic media can do.
The central question is no longer whether synthetic media will be used against democratic institutions. It is whether those institutions will be ready when it happens. Platforms, media organizations, researchers, and public agencies should collaborate now to establish trusted communication channels before a crisis occurs, fostering shared responsibility for protecting democracy. This is not a technical problem alone; it is a problem of trust, coordination, and political will. The objective is not to eliminate synthetic media or to constrain legitimate uses of generative AI. The objective is to preserve society’s ability to distinguish evidence from fabrication when the consequences are greatest. For much of the digital era, cybersecurity focused on protecting access to systems and information. The next era will require us to protect confidence in reality itself. That means investing in detection tools, supporting independent journalism, educating the public about the nature of synthetic media, and holding platforms accountable for the content they amplify. It also means preparing for the worst before it happens, not after. We cannot simply hope that good judgment will win out in the heat of a crisis. We need systems in place that make truth easier to find, faster to confirm, and harder to drown out. The technology will keep improving, and our response must improve as well. If we wait until a fabricated video moves markets or triggers violence, we will have already lost the race.
Ben Colman’s argument is a call to action, not a prediction of doom. The threat of synthetic media is real, but it is not unbeatable. The 2026 US midterm cycle, Brazil’s electoral court decision, and the Scottish and Welsh pilot programs all show that awareness is growing. But too many institutions are still moving slowly, reacting only after a crisis has erupted. We need to treat misinformation and synthetic media as a national security issue and a public safety issue, not merely as a nuisance. We need to build the trust infrastructure now—before the next election, before the next emergency, before the next fabricated video goes viral. In a world where anyone can create convincing fake audio and video, the ability to verify reality is foundational to democracy. If we lose that ability, we lose the capacity to hold power accountable, to make informed decisions, and to respond collectively to shared challenges. The technology will only become more sophisticated. Our response must become more sophisticated too. The author of this piece, Ben Colman, is the co-founder and CEO of Reality Defender, and this World Economic Forum opinion is republished under a Creative Commons license. But the message is not just for policymakers or tech executives. It is for every citizen who cares about the future of democratic society. We all have a role to play in demanding transparency, supporting reliable information, and refusing to let synthetic media erode our common sense of truth. We deserve to know what is real. Our democracy depends on it.