Safeguarding 2026 Elections: 5 AI Policy Musts

The growing power of artificial intelligence is changing our elections, and not always for the better. It’s fundamentally reshaping the democratic process. This means strong tech policy isn’t just a good idea anymore. It’s a requirement for protecting fair elections from AI’s influence. So, how can people managing elections actually get a handle on this technology to protect our democratic institutions?

1. Lock Down Your Digital Infrastructure for Voter Registration

You’ve got to start by securing the absolute foundation of the election: the voter registration databases. It’s step one. AI can be used to poke at security holes to change voter rolls, suppress votes, or even invent fake voter profiles, which could poison an election’s legitimacy before anyone even casts a ballot. I’ve seen it happen where tiny security gaps become huge problems thanks to automated attacks. Pro Tip: A “zero-trust” architecture is the way to go, even though it’s a pain to set up. Don’t just use firewalls. Instead, assume no user or device is trustworthy by default, whether they’re inside or outside your network. It’s much better protection against both insider threats and clever external hacks. A 2025 report from the Election Infrastructure Information Sharing and Analysis Center (EI-ISAC) showed a 35% jump in attempted cyber intrusions on state voter registration systems since the last election, and a lot of those were AI-powered phishing attacks trying to steal login credentials. The Cybersecurity and Infrastructure Security Agency (CISA) is clear that strong authentication like multi-factor authentication (MFA) is essential for every election official. It’s about layering your defenses beyond just passwords. Common Mistake: Putting all your money into external firewalls and ignoring internal network segmentation and endpoint security. Once an attacker gets past that outer wall, they can often run wild inside your network and get to the most important systems. To get MFA going, election administrators have to require it for anyone who touches the voter registration databases. You can use tools like Okta Adaptive MFA or Duo Security, which are flexible enough to work with the identity systems you probably already have. For example, setting up Okta means you can create access rules based on where a user is, what device they’re on, and their network. You could set a rule that any login from an unknown IP address requires a push notification approval on a phone, or that any admin-level access requires a physical hardware key like a YubiKey. Doing this drastically cuts the risk of credential stuffing attacks, which often use AI to blast through stolen username and password lists.

2. Use AI Detection Systems to Fight Disinformation

The flood of AI-generated content is a serious threat. Deepfakes and synthetic audio can create incredibly believable fake stories that explode on social media, twisting public opinion and creating chaos. We need detection tools that are just as smart as the fakes. As the National Endowment for Democracy (NED) has pointed out, AI propaganda is getting so sophisticated that the average person can’t easily tell what’s real and what’s fake anymore. This is exactly why we need automated detection. You’ve got open-source tools and commercial services showing up that can spot manipulated media. Take Sensity AI’s Deepfake Detector: it’s a platform where your monitoring team can upload a suspicious video or audio file. It then analyzes the file for weird artifacts that suggest AI manipulation, like unnatural blinks, strange lighting, or odd audio patterns, and gives you a confidence score on its authenticity in minutes. For a bigger picture, outfits like Graphika deliver threat intelligence on entire disinformation networks, pinpointing who’s using AI to boost their message and what stories they’re pushing, which is invaluable for a quick response. Pro Tip: It’s not just about deepfakes. AI-generated text is now very hard to distinguish from human writing and can be used to churn out persuasive fake news articles or thousands of unique social media comments to create a false sense of public consensus. While they’re not perfect, tools like OpenAI’s Text Classifier and other linguistic analysis platforms can help spot the patterns of machine-written text. Common Mistake: Everyone working in their own bubble. Election officials, security experts, and the big social media companies have to share what they’re seeing on emerging AI threats. A coordinated fight is the only way to deal with a problem this big.

3. Mandate Transparency and AI Disclosure

Transparency is one of our best weapons against deceptive AI in campaigns. Requiring a clear label on all AI-generated campaign content gives voters a fair chance to judge the information they’re seeing and makes political campaigns answer for what they put out. Without these kinds of rules, the line between what’s real and what’s fake gets dangerously blurry. Right now, there isn’t a unified federal standard, though several bills were proposed in 2026. But some states aren’t waiting. The Georgia State Election Board, for instance, put out guidance that says political ads with “materially deceptive” AI content must have a clear disclaimer like “This content has been altered or generated by artificial intelligence.” It’s not a law yet, but it shows where things are headed. Any policy like this has to be specific. The rules must spell out exactly what “AI-generated content” means for disclosure, covering not just deepfakes but also AI-assisted scripts, images, and audio. And the disclosure has to be obvious, you can’t just hide it in the fine print. For a video, that could be a watermark that stays on screen or a spoken announcement. For an image, a clear overlay. For text, a bold header. It has to be unmissable. Pro Tip: A tiered disclosure system might be smart. Small AI tweaks like color correction could get a subtle note, but major fakes or completely synthetic content would need a big, loud warning label. This way, you don’t bog down creators for minor edits but still get transparency where it matters most.

4. Have a Rapid Response Plan for AI Disinformation

No matter how good your detection and disclosure rules are, some AI fakes are going to slip through. And because this stuff spreads so fast, you need a response plan that’s just as quick. If you’re slow to react, a false story can take root and become almost impossible to pull out. I’ve worked in crisis comms, and I can tell you the first 24 hours are everything when fighting a lie. You need a plan you’ve already rehearsed, with clear roles, message templates ready to go, and open lines of communication between agencies. Your rapid response protocol for an AI disinfo attack has to include:

• Real-time Monitoring: Set up social listening tools like Brandwatch or Meltwater to watch for keywords and visual content around election integrity or candidate names. These tools will ping your response team the moment they see a suspicious spike.
• Verification and Triage: Have a dedicated team ready to use the AI detection tools we talked about in Step 2 to quickly check if flagged content is fake. They also need to figure out how big the potential impact is.
• Coordinated Communication: Keep pre-drafted statements on hand and have a clear chain of command for who issues corrections and public warnings. This means election officials working with law enforcement like the FBI’s Cyber Division and state attorneys general to get accurate info out quickly through official websites and verified social media.
• Platform Engagement: You need direct lines to people at Meta, X, and TikTok to report AI-generated fakes and push for removal or labeling based on their own policies. This works much faster if you have these contacts and agreements set up in advance.

Common Mistake: Not truly grasping how fast AI content can go viral. One deepfake can hit millions of views before an official statement is even drafted. You have to be prepared to move instantly.

Using PR measurement with AI analytics is also key here, because it helps you see just how far the disinformation has spread so you can target your counter-messaging where it will do the most good.

5. Work Together and Educate the Public

Nobody can handle the impact of AI on elections by themselves. Good tech policy here means getting government agencies, tech companies, academics, and civil society groups to actually work together. At the same time, the best long-term defense is teaching the public media literacy skills. An initiative from the Brennan Center for Justice pushes for these kinds of partnerships to protect elections. They suggest regular forums where election officials can talk shop with cybersecurity experts about new threats and best practices, which can lead to shared threat intelligence platforms for a more proactive defense. Public education campaigns are just as important. These campaigns need to teach voters how to spot AI-generated content, recognize common disinformation tricks, and be more critical of their information sources. This could mean PSAs, online guides, and workshops from non-partisan groups. For example, the National Association of Secretaries of State (NASS) gives resources to state election offices that could easily be updated with specific advice on identifying AI content.

It also helps to understand the bigger picture of global AI regulations, as it gives you a sense of different policy ideas and challenges that others are facing.

Pro Tip: Get local community leaders and other trusted figures involved in your public education campaigns. People are much more likely to listen to a familiar, respected voice from their own community than they are to a generic government announcement. Democracy requires us to stay vigilant as threats change, and AI is a serious one. By securing our systems, using better detection, demanding transparency, planning for rapid response, and working together, we can build electoral systems that are strong enough to handle what AI throws at them.

This kind of complete plan also fits with broader work on AI public safety, making sure technology isn’t turned against our civic process.