A video lands in a family group chat. A relative opens it on a phone. That phone also logs into a corporate network. The clip is a deepfake. That path is no accident. The scam is afoot, and criminals design for it. On June 24, 2026, Bitdefender launched RealCheck, putting the power of protection in your pocket. The app scores how likely a video is fake. It runs on Android and iOS. Bitdefender’s Director of Business-to-Consumer Innovation, Razvan Costache, walked us through the AI risk.
“Detection tooling does have the potential to influence how insurers think about deepfake-related fraud risk, though underwriting frameworks are still catching up to the threat,” said Costache.
The numbers are stark. Deloitte projects that generative AI could push U.S. fraud losses to $40 billion by 2027. A Bitdefender survey of 7,000 people found a blind spot. They spot high-quality deepfakes only 24% of the time.
“Deepfakes that were once easy to spot have become nearly impossible to detect with the naked eye,” said Ciprian Istrate, senior vice president at Bitdefender.
How RealCheck Works
RealCheck is a phone app for Android and iOS. Once installed, users submit a video link or upload a file. “RealCheck is focused on what it does best: analyzing a specific video link or file to assess whether the content has been manipulated,” Costache said.
The app runs a layered check for manipulation and intent. It reads the audio transcript segment by segment. It also flags public figures used in active deepfake campaigns. The report is shareable in a tap.
A Gray Zone for Cyber and Crime Policies
Deepfake fraud falls between two products. Cyber policies and crime policies both touch it. Neither owns it cleanly.
Carriers price those policies on familiar losses. Think business email compromise, ransomware, and wire fraud. Deepfakes break the pattern.
“It exploits trust rather than technical vulnerability, making it harder to quantify,” Costache said. That line names the core problem. A deepfake attacks judgment. It does not attack a firewall.
Authorized Fraud Is the Trap
There is a deeper reason deepfakes worry insurers. The payoff is a transfer the victim approves. Insurers split fraud into two kinds. Unauthorized fraud means a thief moves the money. Authorized fraud means the victim sends it after a lie. The second kind is far harder to recover.
A convincing deepfake produces authorized fraud by design. The victim believes the voice. The victim approves the wire.
We’ve mapped this coverage gap before. Many scam losses do not fit the traditional cyber box. Bitdefender puts global scam losses at over $450 billion last year.
Why Executive Families Are the Target
Costache draws a sharp line for our readers. “Every executive is also a consumer,” Costache said. That reframes the whole AI risk landscape. The home is now part of the corporate attack surface. Family members carry the exposure.
“Family members are increasingly targeted as a pathway into corporate environments,” Costache said.
Flexible work widened that door. Picture a deepfake in a family group chat. Someone opens it on a phone. That phone signs into a corporate network. Costache calls that no edge case. He calls it the soft entry point criminals look for.
CIN has tracked that same trust attack into the corporate help desk.
Detection as a New Control
Costache sees a path forward. Detection may earn a spot on the controls checklist. “It may start to resemble other preventive controls carriers already factor in, such as MFA, endpoint protection, and verified authorization workflows,” Costache said.
Read that as a cyber insurance underwriting signal. A firm that verifies wire transfers looks stronger at renewal. A firm that verifies executive approvals looks stronger, too. Insurers already reward demonstrated controls.
A Score, Not a Verdict
RealCheck does not call a video fake or real. It reports a likelihood and the signs behind it. The user still decides.
“It is a tool to help people make their own informed judgment rather than a decision made for them,” Costache said. That design choice matters for liability. The judgment stays with the person. It does not shift to the tool.
What the Tool Does Not Cover
RealCheck reads a video that already exists. It does not guard the raw material behind the fake. That material often comes from family social media. Scammers once cloned a son’s voice from seconds of social audio to demand $15,000.
“RealCheck is the detection layer,” Costache said. Costache calls the rest a digital hygiene problem. Bitdefender addresses it through consumer education, he said.
The Detection Gap
Bitdefender frames RealCheck as a fix for a widening gap. The detection problem is real. It keeps getting harder. “Consumers now have a reliable deepfake detector in their pocket to protect their everyday digital lives,” Istrate said.
For underwriters, the lesson sits one level up. The tool treats the symptom. The coverage frameworks still lag behind the risk. “Some exposure still sits outside what insurance handles well. Reputational damage, brand erosion from synthetic media, and downstream consumer harm are difficult to quantify and underserved by existing policy language,” said Costache. Adding, “Detection reduces how often these attacks succeed, but the industry will need clearer frameworks before coverage meaningfully keeps pace with the risk.”
FAQ – AI And The Deepfake Executive Risk
It is a deepfake detection app for Android and iOS. Users submit a video link or file. It returns a likelihood score and a detailed report.
Cyber and crime policies are priced on known losses. Deepfake fraud exploits trust, not a technical flaw. That makes the exposure hard to quantify.
It may, over time. Insurers weigh the controls a firm has in place. Detection could join MFA and endpoint protection on that list.
An executive is also a consumer. Family members open a path into corporate systems. A single deepfake can reach a work device fast.
It depends. A deepfake that talks someone into approving a transfer often counts as authorized fraud. That loss can fall outside standard cyber insurance cover unless the policy adds social engineering fraud.
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