Why Deepfake Legislation Won't Save the 2026 Elections

As the 2026 election cycle hits full stride with midterms approaching, the threats that voters, campaigns, and candidates are coming face-to-face with have completely changed from even two years ago. In 2024, most synthetic media and generative AI attacks were still unpolished, easy to spot, and deployed in isolated experiments.

Fast forward to today, and AI tools have grown up fast. What used to be scrappy proof-of-concept attacks are now slick, automated operations running at scale.

That shift changes everything about what election security actually means. It's no longer just about locking down voter rolls or hardening voting machines. The real fight has moved upstream, into the channels where public trust gets shaped in the first place. If you're a security leader, a campaign staffer, or someone running digital infrastructure, the old perimeter-defense playbook won't cut it anymore.

For campaign security teams, that means the job has expanded well beyond protecting internal systems. You're now responsible for defending the candidate's identity, communications, and digital presence across the open internet.

Can we regulate our way out of the deepfake crisis?

Lawmakers have noticed the problem, and they're moving. More than thirty states have introduced or passed rules aimed at AI-generated content and deceptive deepfakes in political ads: things like mandatory disclosures, watermarking requirements, and penalties for bad actors.

Campaign security teams should welcome those protections, but they can't build their defense strategy around them. A disclosure law doesn't help much when a convincing fake can reach millions before anyone determines it violated the rules.

Policy can't solve a problem that moves at zero-day speed. The people behind the most damaging campaigns (i.e., foreign state actors, decentralized influence networks) simply don't answer to state disclosure laws. By the time regulators catch a violation and start the legal process, the damage is already done. The fake video has gone viral, hit its target audience, and shifted perception, all before anyone official has had a chance to respond.

Legislation is great for accountability after the fact. Stopping harm in the moment takes something faster: real technical detection, cryptographic verification, and mitigation that kicks in before the legal system even wakes up.

Platforms and campaigns are stuck with each other

Election security really comes down to a tense relationship between two groups:

• The platforms: Social networks, search engines, and media outlets that control what content spreads and how fast. Their whole challenge is speed: catching coordinated fake campaigns before they take off.
• The trusted voices: Candidates, election officials, and news organizations whose credibility is exactly what attackers want to steal. When someone fakes a candidate's voice or doctors an official statement, they're hijacking years of built-up trust to spread panic.

We've already seen this play out. AI voice cloning has been used to impersonate campaign leadership convincingly enough that audiences believed it before anyone could set the record straight. That's the whole game. Content moves fast, verification moves slow, and attackers live in that gap.

Time to stop reacting and start preventing

For years, campaign cybersecurity has been reactive by default:

• Something leaks, then you respond
• Credentials get stolen, so you play cleanup
• A fake story spreads, and you issue a correction

That approach is too slow for what 2026 demands. If your campaign or advocacy organization wants to stay standing, proactive impersonation protection isn't optional anymore. It's table stakes.

Here's what that actually looks like in practice:

1. Watch everything, all the time. Don't just monitor your own accounts. Track new domain registrations, freshly created social profiles, and AI-generated content showing up anywhere, including the corners of the internet you'd rather not visit. This is how you catch a fake candidate profile or a spoofed donation page before it ever goes live.
2. Move fast when something slips through. Spotting a fake is only half the job. You need a way to kill it quickly. That means having direct lines to the major platforms so impersonation gets flagged and pulled within minutes, not days. Groups like Defending Digital Campaigns are doing great work to help political staff get free access to this kind of specialized support and training.
3. Prove what's real. Campaigns need a way to show, cryptographically, that their official content is genuine: clear metadata, verified source logs, digital signatures. Once you've established that baseline, anything that doesn't match it becomes much easier to spot as fake.

What's really at stake?

The real target here is public trust. As AI keeps getting more capable through 2026 and beyond, our defenses need to keep pace.

Regulation alone leaves us a step behind. If campaigns and platforms pair proactive protection with fast response systems, we have a real shot at keeping authentic voices (not synthetic fakes) at the center of our elections.

About the author: Josh Bartolomie is Vice President and Global Head of Threat Intelligence at Doppel, where he leads threat intelligence strategy across the full social engineering attack chain. With more than 26 years in IT and cybersecurity, he has built and led security operations centers, incident response teams, and threat intelligence programs for global organizations including ITT Inc., Exelis, and Cognizant, and most recently served as Chief Security Officer and VP of Global Threat Services at Cofense. At Doppel, he is focused on advancing the real-time curation and actioning of threat intelligence that disrupts social engineering attackers.