How AI Could Threaten Your Banking and Online Privacy – And What to Do About It
Artificial intelligence is advancing faster than most of us can track. For consumers, that means smarter tools and more convenience—but also new kinds of risk that weren’t on the radar a year or two ago. A recent article in Kiplinger highlighted an unsettling trend: AI is being used to undermine the security of online banking and chip away at personal privacy in ways that feel almost like science fiction. But the reality is here, and it’s worth understanding.
The Threat to Banking
One of the most alarming developments is voice cloning. Using just a few seconds of audio—from a voicemail, a social media video, or even a phone call—AI can recreate a person’s voice with around 95% accuracy. Scammers then use that cloned voice to call a bank’s automated system or even speak with a live customer service agent, pretending to be the account holder. Banks have reported a surge in such deepfake fraud attempts over the past year.
Beyond voice, AI tools allow criminals to craft phishing emails that are nearly indistinguishable from legitimate messages. Instead of the awkward grammar and obvious typos of older scams, today’s AI-generated phishing messages can mimic the tone and detail of your actual bank or credit card issuer. Automated chatbots can also be used to target thousands of people at once, adapting the scam in real time based on how a victim responds.
The Threat to Online Privacy
On the privacy front, AI makes it much easier for companies and data brokers to collect, combine, and analyze personal information. Even if you never post anything sensitive, AI-powered scraping tools can pull together your browsing habits, purchase history, location data, and social media activity to build a detailed profile. This data is often sold or used for targeted advertising—but it can also be exploited by bad actors if a data broker is breached.
Another concern is behavioral profiling. AI can infer sensitive details about you—health conditions, political interests, financial status—simply from the patterns in your online behavior. You may not have revealed that information directly, but AI can piece it together from the sites you visit and the searches you make. Once assembled, that profile can be used for manipulation, discrimination, or social engineering attacks.
How to Protect Yourself
You don’t need to give up online banking or go off the grid to reduce your risk. A few practical changes can make a real difference.
Use strong multi-factor authentication (MFA). For banking and email, avoid SMS-based codes if possible—they can be intercepted. An authenticator app or a hardware security key is far more secure.
Be skeptical of unexpected calls or messages. If someone calls claiming to be from your bank and asks for sensitive information, hang up and call the number on the back of your card. Voice cloning makes it easy for scammers to sound exactly like a trusted contact.
Limit the data you share publicly. Consider tightening privacy settings on social media. Review which apps and websites have access to your location, contacts, and browsing history. The less data you put out there, the harder it is for AI to assemble a usable profile.
Monitor your accounts regularly. Set up alerts for transactions over a small threshold. Check your bank and credit card statements at least once a week. The sooner you spot something suspicious, the sooner you can act.
Use privacy-focused tools. A browser with built-in tracking protection (like Firefox or Brave), a VPN for sensitive transactions on public Wi-Fi, and a password manager can reduce your exposure.
The Kiplinger article serves as a useful reminder that the same technology making our lives easier is also making fraud and surveillance more sophisticated. No single step will guarantee safety, but a combination of common-sense habits can keep you a step ahead.
Sources:
- Kiplinger, “AI Could Derail Everything from Banking to Online Privacy: Are You at Risk?” (May 17, 2026)
- Industry reports on AI voice cloning accuracy and fraud surge (various cybersecurity analysts, 2025–2026)