A new AI scam protection app is entering the consumer security market at a time when fraudsters are using artificial intelligence to make online and phone scams more realistic, personal and difficult to detect.
Savi Security, a startup founded by brothers Patrick Coughlin and Ryan Coughlin, has launched a mobile app designed to help families identify suspicious texts, emails, voicemails and phone calls before they become costly scams. The company has also raised $7 million in seed funding to support its growth.
The funding round was led by Acrew Capital, with participation from Magnify Ventures, TTCER and Resolute Ventures. The app is now launching on both iPhone and Android, targeting everyday users rather than only businesses or cybersecurity professionals.
Savi’s arrival reflects a major shift in the fraud landscape. Scammers are no longer relying only on poorly written emails or obvious fake messages. With generative AI tools, they can now clone voices, imitate loved ones, create convincing stories and personalize attacks using information available online.
For consumers, that means the next scam may not look like spam. It may sound like a family member in trouble.
How Savi Is Bringing AI Scam Protection to Families
Savi Security was built around a simple but urgent idea: people need real-time help when a suspicious message or call arrives.
Traditional cybersecurity tools often focus on malware, unsafe websites or enterprise-level threats. Savi is taking a more personal approach. Its app is designed to help users evaluate the kinds of scams that now reach families through phones, messaging apps, email inboxes and voicemail systems.
The app can screen suspicious texts, analyze voicemails and help identify risky incoming calls. Its most notable feature is live-call monitoring, which allows a user to bring Savi’s agent into a suspicious conversation as a listener.
During the call, the app looks for signs commonly associated with fraud, including pressure tactics, emotional manipulation, urgency and suspicious behavior patterns. The goal is to give users a warning while the scam is happening, not after the damage has already been done.
That real-time approach could become increasingly important as AI-powered fraud becomes faster, cheaper and more believable.
A Family Scam Inspired the Savi Security App
The idea for Savi came from a frightening experience involving the founders’ mother.
According to the company’s founding story, she received a call that appeared to come from her daughter’s number. The voice on the call sounded like a loved one in distress, while another person demanded money. The caller also referenced a familiar local place, making the situation feel even more believable.
Fortunately, she paused, contacted her daughter directly and discovered the incident was a scam.
For Patrick Coughlin, who had worked in national cyber defense and later held senior security roles in the technology industry, the incident revealed how quickly advanced fraud techniques were moving from corporate and government targets to ordinary families.
What once required significant planning, technical skill and resources can now be done at much lower cost using widely available AI tools.
Why AI Scam Protection Is Becoming More Urgent
AI scam protection is becoming a serious consumer need because generative AI has changed the economics of fraud.
In the past, highly personalized scams required time and effort. Criminals had to research a target, gather personal details and use more complex tools to imitate someone convincingly. That made many advanced attacks more common against wealthy individuals, companies or public institutions.
Now, the barrier is much lower. A short audio clip from social media may be enough to help create a convincing voice imitation. Public posts can reveal names, routines, locations, family relationships and personal interests. AI tools can then help scammers turn that information into believable messages or calls.
This makes consumers more exposed than ever. Parents, grandparents, teenagers and young adults may all face scams that are tailored to their personal lives.
Savi’s founders believe the same technology helping scammers scale their attacks can also be used to detect and stop them.
Savi First Tested Its AI Scam Protection Model With Scam Wise
Before launching its paid app, Savi tested its scam-detection model through a free website called Scam Wise.
The tool allows users to upload suspicious texts, emails or images without creating an account. It then analyzes the content and gives an assessment of whether the material is likely to be fraudulent.
According to Savi, Scam Wise attracted tens of thousands of submissions within months of launch. That gave the startup access to real-world examples of modern scams, helping it improve its detection system.
The company currently uses Google’s Gemini as part of its AI system, while also building on an AI gateway that allows it to connect with other models when needed. That structure gives Savi flexibility as scam tactics evolve and as more specialized detection tools become available.
Live-Call Monitoring Could Set Savi Apart
Many security apps already offer some level of spam detection, phishing alerts or malware protection. Savi’s key difference is its focus on live conversations.
Phone scams can be especially dangerous because they create emotional pressure in real time. A scammer may push someone to act quickly, discourage them from hanging up or make them feel afraid to verify the story.
By allowing users to add Savi’s agent to a suspicious call, the app aims to interrupt that pressure. Instead of leaving the user alone to decide whether a call is real, Savi provides an extra layer of analysis during the conversation.
This could be especially useful for families who want to protect older relatives, children or less tech-savvy members. It may also help people who are usually cautious but could still be caught off guard during a stressful call.
Savi Pricing Covers the Whole Family
Savi is also taking a family-based approach to pricing.
The app costs $8 per month, with an annual plan discounted to $63 per year. Unlike many subscription services, Savi says one plan can cover an entire family without a cap on the number of users.
That means one account holder could add parents, children, a spouse, siblings or other relatives who may need protection and support. This pricing model fits the way scams often affect households, not just individuals.
Fraudsters may target one family member using information about another. A tool that protects only one person may leave gaps. Savi’s family-wide model is designed to close those gaps by making it easier to protect a broader circle.
The Bigger Cybersecurity Shift Behind Savi
Savi’s launch points to a larger shift in cybersecurity. Consumer fraud is becoming more sophisticated, and protection tools are being forced to evolve.
For years, antivirus software was built around files, downloads and malicious websites. Today, the threat may come through a realistic voice note, a fake emergency call, a polished email or a message that appears to come from a trusted person.
That is why AI scam protection may become a new category of consumer safety software. Instead of only blocking viruses, the next generation of security apps may need to detect deception, manipulation and synthetic media in real time.
Savi Security is positioning itself inside that emerging category. Its app is not just trying to stop spam; it is trying to help people make better decisions during moments of confusion, pressure or fear.
What Savi Means for Consumers
For consumers, the rise of AI-powered scams means caution is no longer enough. Even smart, careful people can be targeted by scams that sound personal and urgent.
Savi’s app gives users another tool for verification. It does not remove the need for common-sense safety steps, such as calling a loved one back directly, refusing rushed payments and avoiding suspicious links. But it adds a layer of AI-powered analysis at the moment people may need it most.
As fraudsters continue to use AI to make scams more convincing, tools like Savi could become part of everyday digital safety.
The company’s challenge will be proving that its alerts are accurate, useful and simple enough for families to trust. If it succeeds, Savi could help redefine what consumer cybersecurity looks like in the age of generative AI.
