Thanks, Jason, and thanks everyone for joining us. We continue to make steady progress toward our long-term vision. Building a trusted AI-powered platform that keeps people safe online and helps them manage their financial lives. Our results show the strategy is working. We delivered another quarter of double-digit bookings growth, grew our paid customer base to more than 78 million, and increased non-GAAP EPS 14% year over year. What matters most is what these results represent: growing trust. Millions of people choose Gen to stay safe online, protect their identity, and manage their financial lives. Everything we build is designed to earn that trust every day. Today, I'll focus on three things: how AI is reshaping the threat landscape, how cyber safety and financial wellness needs are converging, and how our unified AI-driven platform underpins durable long-term growth. And after that, Natalie will review our financials. So let's start with the threat landscape. The most dangerous attacks today no longer look like traditional hacking. They are embedded into everyday digital experiences. Shopping, social feeds, search, or payments, consumers are not being breached through technical exploits; they're being redirected from trusted behaviors into outcomes that look legitimate and feel safe. A sponsored ad, a realistic video endorsement, a QR code at checkout, a device pairing prompt, any one of these can trigger a scam that compromises both digital identity and financial health. We see this shift clearly in our data. Across Gen, we block tens of millions of scam attempts every quarter, most tied to financial fraud. Last quarter alone, we blocked more than 45 million fake online shop attacks, up over 60% year over year. These scams mirror exactly how people shop today, and scammers are following consumers in those same channels. As a result, fake ads now represent more than 40% of all consumer cyber threats. They are visually indistinguishable from legitimate brands, and the fraud often is not revealed until credentials are stolen and payments are made. Speed is the second major shift. AI has compressed the life cycle of attacks from months to days, sometimes hours. It has lowered the cost and efforts required to launch personalized scams at scale. The implications are clear: more attacks, faster execution, and higher success rate. Gen is built for this reality. Because of our scale and the depth of our telemetry, Gen has a unique view into how threats emerge, spread, and intersect with real consumer behavior. We analyze real-time signals across security, identity, devices, platforms, and financial activities. This lets us go beyond blocking threats to understanding risk as it evolves and adapting protection dynamically. Cyber safety today is no longer about blocking malware or bad websites after the fact. It is about understanding behavior, intent, context, in the moment, across identity devices, platforms, money. And Gen's platform is built for exactly that. This approach is resonating. Cyber safety bookings grew 5% year over year with double-digit growth in our most comprehensive Norton 360 with LifeLock offerings. Customers are choosing broader protection because the risks they face are broader. Looking ahead, AI agents represent the next major shift and the next major consumer risk. Millions of people already use AI agents to browse, shop, manage accounts, and make decisions on their behalf. And adoption is accelerating. These systems act like humans online but at far greater speed and scale, creating new vulnerabilities. AI agents can be deceived the same way people can: through fake ads, impersonation sites, or misleading messages. But the speed and impact are amplified. We're already seeing agents click on fraudulent ads, enter credentials into impersonation sites, and authorize transactions based on manipulated information. Take OpenClue as an example. It runs locally and performs tasks on your behalf, like managing emails and automating daily activities. To work, these agents access your files, your messages, and credentials, and if something goes wrong, the consequences can be severe. A single malicious email could prompt an AI agent to scan a device, extract sensitive data, and send them out without exploiting any traditional software bug. The AI is doing exactly what it was designed to do, just without enough safeguards. Autonomous agents redefine what consumer cyber safety means. Protection is no longer just about protecting users. It's about protecting the autonomous systems people rely on. Security cannot be optional, but the providers of these innovations are not focused on making it foundational. That is the gap Gen is uniquely positioned to fill. Earlier this week, Gen Threat Labs introduced a beta version of the world's first agent trust hub. It allows users, both humans and AI bots, to scan skills for risk before execution, control what agents access, and verify safety before it's used. It also includes a curated marketplace of skills maintained by Gen's security researchers, effectively the world's first trusted app store for agent skills. Also in December, we launched Norton NEO, the world's first safe AI browser. Adoption has been strong in our install base, reinforcing demand for AI experiences that are secure by design. AI agents will go through hype cycles, of course, but the trend is permanent. As AI becomes embedded in daily life, people need a trusted partner to protect them. The AI economy cannot scale without safety and confidence, and that's where Gen comes in. Our competitive advantage is based on AI combined with and powered by the unmatched breadth of signals that we bring together across security, identity, and financial risks. At our scale, those signals allow us to retrain our defenses continuously, detect scams earlier, adapt faster, and stop attacks in real time. That allows us to deploy enhanced anti-scam protection across our portfolio, including on-device deep fake detection that can stop an attack during a video playback. These are practical defenses designed to protect consumers against real-world threats. We also recognize that identity threats and financial risks are no longer separate. They are deeply interconnected. That is where Gen delivers true peace of mind, and our customers recognize this shift, trusting us more every day. Across our portfolio, we're approaching 100 million active financial accounts monitored over 500 million protected endpoints. Each month, customers take millions of financial actions, allowing us to strengthen protection, personalization, and recommendations. Within LifeLock, we continue to expand beyond traditional identity protection. Financial accounts monitored grew double-digit year over year to nearly 50 million. We are redesigning the LifeLock experience to deliver clearer, and expanded alerts, personalized insights, and more actionable recommendations, reinforcing its position as the most trusted financial protection partner. MoneyLion also continues to perform strongly, with nearly 40% revenue growth in Q3. More importantly, it is evolving into an always-on financial hub. Beyond short-term liquidity solutions, we're helping consumers manage cash flow, build confidence, and protect financial progress they're working hard to achieve. Later this year, we will launch MoneyOne, a new subscription combining the best of MoneyLion with scam and identity protection, currently in closed beta and moving towards early access. This quarter, we introduced a new feature like found money, our savings optimization assistant. Early engagement has been strong. 60% of users engaging with found money interacted with an offer, and 30% linked at least one additional account, strengthening the data foundation that powers personalized guidance. Leveraging the strength of Gen, we also embedded scam security and risk detection directly into MoneyLion's transaction insights. And as adoption grows, this reinforces the flywheel between engagement and value. And as a result, we delivered record highs in Instacash usage, RoarMoney deposits, and card activity, proving that trust, safety, and growth scale together. Our marketplace engine continues to scale under the Gen brand. This quarter, engine processed a record number of inquiries as we expanded into new credit cards and mortgage categories and integrated ENGINE more deeply into our consumer brands, helping insights turn into action more often. Yesterday, we announced an expanded partnership with Equifax using Equifax differentiated data to enable enhanced alerts and insights for our customers across our entire portfolio. It also enables Equifax to offer more personalized financial offers on myequifax.com powered by Engine. Stepping back, our platform strategy is a real differentiator. Across Norton, Avast, LifeLock, and MoneyLion, we operate leading consumer brands that generate high-value signals on behavior, risk, and intent that are amplified by our marketplace. Engine alone now processes over 360 million inquiries annually with expanding financial product verticals and improving conversion. What sets Gen apart is how we connect these inputs to create value for our customers and the business. Unifying AI and our data-driven approach to bring together security telemetry, identity events, financial behavior, and marketplace interactions is at the core of our strategy. This shared foundation allows us to move beyond static protection and deliver personalized contextual guidance when it matters the most. After building our modular cyber safety tech stack, we now focus on expanding our unified data platform and automation trust layer, turning vast amounts of data into actionable intelligence that helps consumers make better digital and financial decisions. In an AI-driven world where outputs can be biased or manipulated, Gen's ability to anchor guidance in verified identity and trusted data is a durable competitive advantage. And our strategy is simple: turn proprietary signals into trusted recommendations and scale them across our products and partners. We are already seeing early benefits. Our AI lifecycle agent is orchestrating customer lifecycle communication, engagement, and personalization across the portfolio. A real-time data platform powers customer-facing features like protection score, giving consumers a clear, actionable view of their protection. And shared LLM frameworks are accelerating innovation across products with new agent capabilities deployed in MoneyLion and Norton Money app. So in closing, success for Gen is defined by trust. Earning it, scaling it, and delivering it in the moments that matter the most, helping people make safer, smarter digital financial decisions. Cyber safety remains foundational. And it's not just a category. It's a promise. And as awareness of Gen Portfolio grows, we are increasingly recognized not only as a cybersecurity leader but as a trusted partner across consumers' digital and financial lives. We are executing well in a rapidly changing environment. Our platform is scaling, our strategy is working, and we're focused on long-term value creation by earning our customers' trust every single day. And with that, I'll turn it over to Natalie.