Chief Technology Officer

Our family of brands and our trust-based solutions help more than 500 million people around the world live fuller, safer digital lives today. We’re continuously defining what it means to live freely in the digital world of tomorrow. Learn how.

Director of AI & Innovation

Family of Brands

A decade ago, your reputation mostly traveled by who you knew and word of mouth. Today, it lives&nbsp;online. Recruiters search before they reach out. People probe online to learn about others. Clients look for signals of expertise before starting conversations. &nbsp;Your online presence has quietly become a living record of how you show up in your life and your field.&nbsp;But building that presence consistently isn’t easy.&nbsp;Platforms reward consistency and visibility, yet time is limited. Turning real-world expertise into thoughtful online content can feel like another full-time job. Many people post sporadically or rely on generic AI tools that produce content quickly but flatten the voice that makes their perspective valuable.&nbsp;Online presence has never mattered more. Yet, credibility has never been easier to dilute.&nbsp;At Gen, we believe digital confidence extends beyond protecting devices and identities. It also means empowering people to participate in the digital world with confidence and control. That philosophy is why Norton recently introduced Norton Revamp, an AI-powered online presence builder within the Norton ecosystem, designed to help people turn their expertise into a consistent and credible online presence.&nbsp;

<h2>The real challenge: consistency, not expertise&nbsp;</h2>Most people don’t struggle with ideas. They struggle with momentum.&nbsp;Founders, engineers, consultants, creative leaders and even hobbyists accumulate valuable insights every day: lessons from being deeply involved, shifts in their industries or strategies that helped solve a difficult problem. The challenge is finding the structure and time to turn those insights into posts that others can learn from. &nbsp;This is where many AI writing tools fall short. They focus on speed, generating content instantly but often stripping away the nuance that makes insight meaningful.&nbsp;The result is a growing stream of polished but interchangeable posts that sound like everyone else. We don’t need AI to replace our thinking. We need tools that help us articulate our experience.&nbsp;<h2>How AI can support authentic professional voices&nbsp;</h2>AI works best when it acts as a structured partner, not an autopilot.&nbsp;Norton Revamp was designed with that principle in mind. Instead of automatically generating content, Revamp provides guidance that helps professionals translate their real-world expertise into thoughtful online posts. It also brings in practical tools along the way — from generating images with AI to searching visuals, finding the latest relevant news and more — so ideas can be supported, not just written.&nbsp;Revamp users receive curated direction aligned with their personal or professional goals and areas of expertise, helping them move past the blank page and focus on topics that strengthen their professional narrative over time. AI-assisted drafting helps shape ideas into structured posts, strengthening the thinking behind them while helping maintain the author’s voice and perspective. And beyond just writing, Revamp lets people source recent news articles to comment on and even create custom AI-generated images, to add depth to the content and spur conversation.&nbsp;&nbsp;The goal isn’t simply to produce more content. It’s to help people capture insights they already have and share them consistently. &nbsp;When people show up regularly with thoughtful ideas, their networks may begin to recognize patterns in how they think, what they value and how they approach challenges. Over time, that consistency builds trust.&nbsp;<h2>Why visibility creates opportunity&nbsp;</h2>A consistent presence online can help unlock opportunities that would otherwise remain invisible.&nbsp;Ideas travel beyond immediate networks. It can help recruiters identify emerging expertise. Clients gain confidence in someone’s perspective before the first meeting even happens.&nbsp;People who share their thinking openly often become the voices shaping conversations in their industries.&nbsp;But maintaining that visibility requires rhythm.&nbsp;Posting every day isn’t necessary. What matters is participating thoughtfully over time. Tools like Norton Revamp help people develop ideas, structure posts and maintain a manageable posting cadence, making it easier to stay visible without turning content into a second job.&nbsp;<h2>Control and trust in the age of AI&nbsp;</h2>As AI becomes more embedded in digital tools, one principle matters more than ever: people should remain in control of their voice and narrative.&nbsp;&nbsp;That’s why tools like Norton Revamp are designed so thatcontent is only published after user approval. AI suggestions provide context, allowing professionals to evaluate recommendations before deciding what goes live.&nbsp;Behind the scenes, Norton Revamp is the newest product from Gen AI Foundry, our initiative to turn AI innovation into real products. Norton Revamp is backed by the Gen trust layer, our evolving framework that prioritizes safety, transparency and accountability in emerging digital technologies. Built on decades of cybersecurity leadership, this trust layer helps ensure that innovation in AI is guided by the same principles that have long protected people online.&nbsp;This reflects a broader philosophy across Gen: trust is built when people understand how technology works and remain firmly in control of the outcomes.&nbsp;<h2>The next layer of digital confidence&nbsp;</h2>For decades, Norton has helped people navigate their digital lives with greater confidence across devices and digital environments.&nbsp;Today, empowering people online is also about helping them manage how they show up in digital spaces,&nbsp;whether that means protecting their identity, maintaining privacy or building an online presence.&nbsp;The people shaping the future will be the ones whose ideas show up where conversations are already happening. &nbsp;Norton Revamp was created to support that shift, helping people turn their voices into a stronger, more consistent digital presence. Learn more at <a href="https://revamp.norton.com" target="_blank">revamp.norton.com</a>.&nbsp;

How Norton Revamp helps people build a consistent, trustworthy voice online.

How AI Can Power Your Online Presence 

Corporate Manager

Security is changing quickly. So are the threats people face online. AI is accelerating that shift. Today’s attacks are more adaptive and harder to detect, from AI-generated scams to techniques that evolve in real time. Meeting that reality requires security that performs in everyday use, adapts as threats change and doesn’t add friction for the people relying on it.&nbsp;At Gen, progress starts by listening to how people live online and what they encounter day to day. Customers experience these threats firsthand, and their feedback helps shape how we build and evolve our products. Independent testing then validates those decisions beyond our own walls, pressure-testing performance in real-world conditions and at scale.&nbsp;That’s why recognition matters, not as an end goal, but as a signal that what we’re building is working where it counts. And helping the people we serve. &nbsp;In 2025, across five key security vectors, Gen brands earned <a href="https://www.av-comparatives.org/consumer-summary-report-2025/" target="_blank" rel="noreferrer noopener">16 independent awards</a> from AV-Comparatives, one of the industry’s most rigorous testing organizations.&nbsp;<h2>Five ways to measure security, not just one&nbsp;</h2>Security leadership doesn’t show up in a single metric. It shows up across dimensions that often compete: protection strength, system performance, advanced threat response and long-term trust. This year, Gen brands were recognized across all five:&nbsp;<ul><li>Approved Security Product: Norton, Avast, AVG, Avira</li><li>Top-Rated Products 2025: Norton, Avast, AVG</li><li>Real-World Protection: Norton (Gold), Avira (Bronze)</li><li>Overall Performance (Low System Impact): Avast (Gold), AVG (Gold), Norton (Silver)</li><li>Advanced Threat Protection: Avast (Silver), AVG (Silver), Norton (Silver), Avira (Bronze)&nbsp;</li></ul>In total, this represents 16 awards across four of our trusted brands: Norton, Avast, AVG, and Avira.&nbsp;&nbsp;<h2>Why these signals matter&nbsp;</h2>What these awards reflect isn’t just product excellence; it's evolution.&nbsp;Threats are changing faster than ever. AI-powered scams, deepfakes and social engineering attacks don’t announce themselves. They blend in. They exploit trust. And they test whether security can keep up without slowing people down.&nbsp;Being recognized for real-world protection means our products perform outside the lab.&nbsp; Being recognized for low system impact means protection doesn’t come at the cost of performance.&nbsp; Being recognized for advanced threat defense means we’re preparing for what’s next, not just reacting to what’s already known. &nbsp;<h2>Ambitions for 2026 and beyond&nbsp;&nbsp;</h2>Awards tell us where we stand. What matters next is how we apply what we’ve learned to the threats people are facing right now.&nbsp;As scams, deepfakes and financial fraud become more frequent and more convincing, our focus has already shifted accordingly, and you can already experience this in our products.&nbsp;&nbsp;That work is already underway:&nbsp;<ul><li>Investing in real-time, proactive scam and fraud protection, designed to help you spot scams so you can get on with life. This includes protection across the channels where scams most often surface (email, SMS, and calls).</li><li>Using AI to respond to the growing sophistication of AI-driven threats, moving beyond link scanning to understand the intent and tactics behind a message and helping people decide what to do next with clarity and context.</li><li>Advancing deepfake detection and protection, including recent collaboration with Intel at CES, and leveraging the growing capabilities of <a href="https://www.gendigital.com/blog/news/family-of-brands/norton-qualcomm-deepfakes" target="_blank" rel="noreferrer noopener">Intel and Qualcomm AI PCs</a>, enabling faster, always-on detection that proactively protects against today's most sophisticated scams.&nbsp;</li></ul>As the threat landscape continues to change, our direction is clear: focus on the risks that matter most to people, respond before harm occurs and build protection that works in practice, not just in theory.&nbsp;

Measuring what matters: Security, responsibility and what comes next 

16 independent security awards show how Gen builds protection that scales 

Threat Research Team

We’re immersed in a digital feed that never sleeps. In just a few years, our habits have shifted from group chats and photo sharing to an always-on stream of video. Short clips, social feeds, and streaming platforms now blend into a single, continuous online viewing experience.&nbsp;At the same time, AI-generated content, known as deepfakes, has quietly moved from spectacle to infrastructure. What once felt like a novelty, or something reserved for viral clips and obvious hoaxes, is now part of everyday video production. Today’s deepfakes are often subtle, designed to blend seamlessly into the videos people already watch, making it hard to tell what’s real and what’s fake. This seamlessness and the question mark over authenticity matter, because video content has become the default way people learn, relax, and make decisions. In August 2025, YouTube accounted for 13.4 percent of all U.S. television viewing. In the UK, regulators report that 41 percent of YouTube viewing already happens on TV sets. Around the world, streaming continues to expand its share of home TV use, bringing the “what to watch next” algorithms, suggested videos, autoplay queues, and targeted ads directly into living rooms.&nbsp;So, what’s the problem? People instinctively trust what they see and hear. And while deepfakes aren’t inherently malicious, AI-generated videos and audio can convincingly mimic real people, making false information feel authentic and emotionally persuasive. This blurs the lines between reality and fabrication, and it also enables a new frontier for scams - delivered faster and with greater impact than ever before.&nbsp;<h2>How deepfake scams hide in plain sight&nbsp;</h2>The tools AI creators rely on for voice cloning, synthetic narration, automated editing, and composite visuals, are now standard capabilities across many popular platforms and production workflows.&nbsp;Adobe’s latest global survey found that 86 percent of creators use generative AI somewhere in their process. Analysts expect a growing share of outbound marketing messages to be synthetically generated, enabling persuasion at scale, delivered faster and with fewer human bottlenecks.&nbsp;In practice, this makes deepfakes harder to spot. A video may look ordinary while the audio has been cloned. A familiar voice may be paired with stock footage. A stitched interview clip may borrow credibility from a real person without ever showing their face. Most of these techniques are not harmful by design, but criminals have learned how to use them for malicious intent by combining them with scam narratives that feel personal and believable. Criminals do not need a million views. They need the right viewer at the right moment.&nbsp;<h2>How we’re protecting people from deepfake scams&nbsp;</h2>In the second half of 2025, <a href="https://newsroom.gendigital.com/2025-09-16-Norton-Unveils-Advanced-Deepfake-Protection-Powered-by-Intel-R-Core-TM-Ultra-Processors" target="_blank" rel="noreferrer noopener">Norton</a> introduced proactive on-device detection of malicious AI-generated audio in video content on platforms including YouTube, Facebook, Instagram, X, TikTok, Vimeo, Twitch, and DailyMotion. We began by delivering this capability on AI PCs in partnership with chipmakers like Intel and Qualcomm, where on-device processing makes it possible to analyze audio without sending sensitive data to the cloud. The capability has since expanded to traditional high-end PCs as well, making this early protection accessible to a broader audience.&nbsp;&nbsp;At the same time, we <a href="https://www.youtube.com/watch?v=cgJ6vWCaKaA" target="_blank" rel="noreferrer noopener">released a preliminary version</a> of cloud-based video manipulation detection and started collecting telemetry to improve accuracy and coverage over time. Today, at the Consumer Electronics Show (CES) in Las Vegas, we are showcasing an early preview of the next evolution of this protection: on-device video manipulation detection for AI PCs, in partnership with Intel.&nbsp;Utilizing Intel’s Panther Lake processor and our new, in-development image analysis tool, we are now able to scan video and detect malicious deepfakes of well-known public figures used by criminals for scam campaigns. This can be done directly on the device for faster and more private protection – a new benchmark for the industry. Over time, our technology is expected to expand to detect more than just celebrities and famous people – it will also help to protect against more devastating scams such as family member impersonation.&nbsp;<h2>What the preliminary data shows&nbsp;&nbsp;</h2>As of now, two patterns stand out. YouTube accounts for the largest share of blocked deepfake-enabled scam videos on the Internet, followed by Facebook, and then X. Additionally, the risk skews toward longer viewing sessions rather than short clips. This aligns with how people consume video today, especially on TVs and PCs, where extended watch time gives scammers more opportunity to persuade, and mirrors YouTube’s prominence as the default destination for long-form recommendation-driven viewing.&nbsp;By country, the United States accounts for the largest share of intercepted deepfake scam videos, followed by Germany, United Kingdom, Canada, and Australia. All other countries combined make up a larger share than any single market. These figures show where our protection intercepted scams, not where overall deepfake risk is highest. Results are influenced by feature availability and regional usage patterns. As adoption expands, we will add per-user risk metrics to provide more context.&nbsp;Out of all the data, one detail is especially important: most deepfake scams were spotted in real time, during playback. They appeared as part of normal viewing, not as downloads, attachments, or links sent separately. This means scam deepfakes hide in plain sight, woven into normal video consumption. They feel routine and familiar, not disruptive, and serve as the delivery mechanism inside a broader attempt to steal money.&nbsp;Our Deepfake Protection is built to stop these financial scams that cause the most harm – but it also protects against other scam types, grouping them into a broader scam category. Most blocked videos fell into this group, with financial and cryptocurrency following closely behind.&nbsp;&nbsp;<h2>Deepfakes are neutral. Intent is not.&nbsp;</h2>There is far more AI-generated and deepfake-assisted video online than outright scam content. Deepfake techniques are now widely used for legitimate purposes, including accessibility, localization, editing efficiency, and creative expression.&nbsp;The presence of a deepfake alone is not the risk. Risk emerges when deepfake capabilities are paired with intent: urgent financial requests, promises of guaranteed returns, pressure to act quickly, or instructions to move conversations or payments off platform.&nbsp;Our telemetry focuses on that overlap: deepfake-assisted media that is also a scam.&nbsp;Most detections fall into a broad manipulated media category, often voice-led clips designed to sound authoritative, familiar, or reassuring. Within the smaller, clearly labeled set, the dominant themes remain finance, investment, and cryptocurrencies.&nbsp;As deepfakes become normal in media production, the right way to judge risk is by behavior and outcome, not by whether AI or deepfake tools were involved.&nbsp;<h2>What the signals suggest&nbsp;</h2>Several themes emerge clearly.&nbsp;First, scammers follow attention. Deepfake scams appear wherever people spend time watching video. If they can blend into ordinary playlists on major platforms, they do not need mass reach. Believability matters more than scale.&nbsp;Second, finance remains the primary lure. Investment advice, trading schemes, and giveaways dominate. This mirrors broader trends in digital advertising, where AI-targeted calls to action increasingly appear across social video and connected TV.&nbsp;Third, deepfakes scale because AI use is normal. With creator adoption this high, criminal groups naturally use the same tools. The difference is intent, and our detections focus squarely on deepfake-enabled deception tied to scams.&nbsp;<h2>What people can do right now&nbsp;</h2>Do not trust a video on its own. If it asks you to move money or share sensitive information, pause and verify through an official website or contact method you look up yourself.&nbsp;Ignore urgency and exclusivity. Limited time offers, countdowns, and “only for subscribers” language are common deepfake scam tactics.&nbsp;Listen closely to the audio. Many deepfake scams rely on cloned voices. Watch for unnatural pacing, missing pauses, or mismatched sound environments.&nbsp;Report and move on. Reporting helps platforms downrank deepfake scam content faster and protects others. Scams scale when people share them, so reporting matters.&nbsp;&nbsp;<h2>How good technology is now playing a role&nbsp;</h2>At the same time, defensive technology is evolving just as quickly. At Gen, we are embracing and innovating with AI to counter AI-driven deception through deepfake protection built into our Norton and Avast products, including work that analyzes both audio and visual signals for signs of manipulation. This includes detecting synthetic voices and identifying subtle visual inconsistencies that indicate digital alteration. The initial proof of concept at CES is the first step in applying our technology to detect well-known public figures, where verified reference data makes detection more reliable.&nbsp;&nbsp;When a suspected scam deepfake is detected, our products do more than flag it. They provide contextual guidance, helping people understand what they are seeing and what steps to take next. The goal is not to label every AI-edited video as dangerous, but to focus on intent and harm, intervening when manipulated media is being used to deceive, pressure, or defraud. As deepfakes blend more seamlessly into everyday viewing, protections like these help restore balance by bringing scrutiny to moments where trust is most easily exploited.&nbsp;Deepfakes work because they align what we hear with what we expect to see. Audio carries warmth, authority, or urgency, but visuals often provide the final proof. A familiar face or trusted brand image can override doubt in seconds, even when the message itself makes little sense. Presented as interviews or tutorials, these scams feel helpful, not harmful. This is why detecting visual manipulation is becoming just as important as analyzing synthetic audio, especially as scam campaigns increasingly rely on recognizable faces to create instant credibility. That is why nearly all interceptions in our data occur during playback rather than through manual checks. Protection has to operate where attention lives.&nbsp;Deepfakes are now part of modern media production, and that will not change. The question is not whether deepfake technology is involved, but whether it is being used to drive a fraudulent action.&nbsp;This is our first share-based look at deepfake-enabled scam videos across platforms and countries. It establishes a baseline and moves the conversation from anecdotes to patterns. As adoption grows, we will continue to highlight where people are actually encountering deepfake scams and which lures are costing them real money.&nbsp;To learn more about deepfakes and how Gen and Intel are fighting back, visit <a href="https://edge.prnewswire.com/c/link/?t=0&amp;l=en&amp;o=4547254-1&amp;h=3015467702&amp;u=https%3A%2F%2Fnorton.com%2Ffeature%2Fai-scam-protection&amp;a=https%3A%2F%2Fnorton.com%2Ffeature%2Fai-scam-protection" target="_blank" rel="noreferrer noopener">https://norton.com/feature/ai-scam-protection</a>.&nbsp;

From accessibility and creativity to financial scams and identity theft, the difference is not the technology but the intent

From helpful AI to harmful deepfakes: Where video scams cross the line

Security Evangelist at Gen

Deepfakes are no longer science fiction. With today’s AI tools, scammers can generate convincing voices and videos in seconds, making it harder than ever to know what’s real. Some of these fakes are entertaining but others are designed to trick you into handing over money, credentials or personal information.<h3>Why this matters now</h3>Deepfake scams are moving away from viral stunts and toward smaller, more personal cons. A cloned voice or short clip can be made in minutes, and it is already good enough to fool people on calls, voice notes and quick videos. That is why protection that runs on your computer matters — it works fast and keeps what you watch private. The words in a video often give the scam away — promises, pressure and “act now” language are stronger tells than tiny visual flaws. And two layers help the most: automatic protection catches bad clips as you browse and a quick check lets you verify anything that feels off before you act.<h3>What Norton is doing</h3>At Norton, we have introduced two protections that work together: Media Shield in Norton 360 for the latest Windows AI PCs and Video Analyzer in Norton Scam Protection for quick checks on videos you’re unsure about. Both look for manipulated media and scam intent, and they do it in different ways that complement each other.<h3>Media Shield: automatic protection on your device</h3>Media Shield runs in real time using the PC’s new AI hardware to analyze audio and video as you watch or listen. You do not need to do anything — it works automatically in the background and keeps analysis on your device.<h3>Video Analyzer: on-demand checks when you’re unsure</h3>Available through Norton Scam Protection, Video Analyzer lets you paste a link — for example, a suspicious YouTube video — and get a fast assessment. It looks at what is being said in the transcript and at surrounding signals such as links in the metadata. So far, about 9 out of 10 scam classifications come from the content itself rather than from suspicious URLs alone. Because it is on demand, submissions reflect what people worry about most, with crypto and finance topics leading, followed by news and tech.<h3>What we are seeing so far</h3>Although Media Shield is available to a limited early access group, the pattern is clear. Most detections so far involve deepfake audio used to mislead. A smaller share are flagged as scam videos, with cryptocurrency and finance themes dominating. Nearly all of the scam clips we saw had under 10,000 views, while viral clips with hundreds of thousands of views were rarely scams in our sample. This points to a shift away from chasing mass reach and toward convincing smaller audiences who are easier to persuade. These are early signals and they will evolve as the rollout grows.<h3>What this means for you</h3>Keep Media Shield in Norton 360 on as your safety net while you browse. It can stop risky audio and video in real time. If something gives you pause, paste the link into Video Analyzer and check it before you trust or pay. Be extra careful with money themes — for example, giveaways, investment promises that seem too good to be true or clips that imitate financial experts. Treat surprise calls or voice notes as high risk even if the voice sounds like someone you know. As these protections reach more people, the early picture is clear — deepfakes are not chasing viral fame, they are being used in smaller scams that try to separate you from your money.

Real-time protection meets real-world deception. Norton’s AI-powered tools help you tell truth from trick.

Spotting the Fakes: How Norton’s Media Shield and Video Analyzer Help You Fight Deepfake Scams 

VP Product Management, Security 

AI is changing everything. How we work, how we connect, and yes, even how people are getting scammed. But Norton, a brand of Gen, is turning the tables. By teaming up with Qualcomm, we have a first look at how AI-powered devices can help spot sophisticated scams in real-time.&nbsp;Welcome to a smarter kind of protection. At the 2025 Consumer Electronics Show (CES), we <a href="https://us.norton.com/blog/online-scams/npu-scam-detection" target="_blank" rel="noreferrer noopener">first announced</a> our work with Qualcomm to offer Norton Scam Protection for AI-supported PCs,&nbsp; powered by Qualcomm’s Neural Processing Units (NPUs). We are now stepping up to take on the new wave of deepfake-driven deception with the official rollout of this offering.&nbsp;

<h2>Deepfakes and AI scams are here. So is our AI-powered defense.&nbsp;</h2>Let’s face it: today’s scams are slick. It might start with an AI-generated voice that sounds like a family member or friend, guiding you to a fake website that looks just like the real thing. Ultimately, it’s all part of a phishing scam designed to steal your money or personal data.&nbsp;&nbsp;&nbsp;Cybercriminals are getting smarter by the day and using AI to do it. But they’re not the only ones getting smarter. We are, too.&nbsp;At this year’s CES, Norton showcased how our next-gen AI—powered by Qualcomm’s NPUs—can analyze video content to detect scams and identify suspicious AI-generated elements, all while keeping your personal data securely on your device.&nbsp;Now, we’re building on that demo.&nbsp; We’re expanding protection with Deepfake Detection as part of Genie Scam Protection (available in Norton 360 plans in the US, UK, Australia and New Zealand) to help even more people spot and stop scams in real time.&nbsp;&nbsp;Here’s what happens when Microsoft Copilot+ PCs with Qualcomm’s Snapdragon X Series chips combine with Norton’s AI-powered scam detection:&nbsp;<ul><li>Instant scam detection, without the cloud: Our AI works directly on the device, analyzing data on the spot. No upload. No lag. Just fast, private, real-time protection.</li><li>Deepfake audio analysis: It might sound completely real, like an influencer endorsing a crypto opportunity or a giveaway that seems too good to miss. But behind the scenes, our Deepfake Protection scans audio for signs it's AI-generated and automatically flags suspicious content, like financial scams, before you ever click ‘invest.’</li><li>Built-in speed and security: Thanks to Qualcomm’s NPU, detection happens in seconds, not minutes, meaning you stay ahead of the threats.&nbsp;&nbsp;</li></ul><h2>A peek behind the curtain: AI that learns from millions&nbsp;</h2>Norton’s AI engines, already used by millions of people, have been trained on millions of real-world scam samples. Now, we’re bringing that experience to your device with even more speed and precision.&nbsp;&nbsp;And with Qualcomm’s expanding line of AI PCs, this kind of advanced scam protection is coming to more people, more quickly, than ever before.&nbsp;This milestone points to a powerful future: AI that defends you right from your desktop or laptop, built into the devices you use every day.&nbsp; Stay tuned as we roll out more updates on Norton Scam Protection. In the age of AI, we’re putting smarter protection where it matters most: in your hands.&nbsp;&nbsp;

With Qualcomm’s NPU-powered AI and Norton’s deepfake detection, your next PC could be your strongest digital defense

Deepfake detected: How Norton and Qualcomm are leveling up scam defense

As a company dedicated to creating security solutions that allow people to take full advantage of the digital world, we work to provide people with best-in-class protection for their computer and smartphone across our brand and platforms. Today we are proud to announce the win of 10 AV-TEST Institute awards. These awards recognize the reliable protection across a variety of operating systems, fast performance speeds and user-friendly experiences that Norton, Avast, AVG, and Avira provide.&nbsp;This year, Gen brands awarded includes the following: &nbsp;<ul><li lang="EN-US">Norton: Best Protection (Windows), Best MacOS Security Product, and the Best Android Security Product&nbsp;</li><li lang="EN-US">Avast: Best Protection (Windows),&nbsp;Best MacOS Security Product,&nbsp;and Best Android Security Product&nbsp;</li><li lang="EN-US">AVG: Best Protection (Windows),&nbsp;&nbsp;Best MacOS Security Product,&nbsp;and Best Android Security Product&nbsp;</li><li lang="EN-US">Avira: Best Protection (Windows)&nbsp;</li></ul>Throughout the year, AV-TEST, an independent cybersecurity testing institution, evaluates the effectiveness of endpoint security solution defenses against advanced attacks. Each product evaluated at the AV-TEST Institute is required to undergo demanding and realistic tests to consistently excel in categories of protection, performance and usability.To learn more information about these award wins, visit <a href="http://www.av-test.org/">AV-Test.org</a>.&nbsp;

Gen Earns 10 AV-TEST Institute Product Awards Across Norton, Avast, AVG and Avira