Thanks, Tim, and good afternoon, everyone. We appreciate you joining us to discuss our fourth quarter and full year 2025 results. Over the past year, we have talked about Varonis Systems, Inc. as a story of two companies. The first is our strong SaaS business, which reflects the present and future of our company, and the second is a legacy on-prem business, which is serving as a headwind to our total company ARR growth. In Q3, the headwind was especially pronounced. As a result, we are now disclosing additional metrics. The purpose of this is to allow investors to understand all the drivers of our business. Guy will expand upon this later. In the fourth quarter, our SaaS business continued its momentum, and our decision to end-of-life our self-hosted platform, combined with the lessons we learned in Q3, led to a record number of conversions. In Q4, SaaS ARR was $638.5 million or 86% of total ARR. Q4 SaaS ARR increased 32% year over year, excluding the impact of conversion, and total ARR increased 16% year over year to $745.4 million. Now I would like to give you some additional color on last quarter's decision to announce the end-of-life for our self-hosted deployment model and the decision to transition our business to be 100% SaaS by the end of 2026. Prior to the introduction of Varonis SaaS, we believed self-hosted software was the best way to secure data, but the downside of this software was that it required significantly more resources to do so. Our SaaS product is fully automated. It is different from our self-hosted solution, like a self-driving car to a bicycle. You can get to the same destination in either method, but with one, you do the majority of the work yourself, and with the other, it gets you there automatically and with minimal effort. We can do this because we built our SaaS platform using world-class architecture, the newest technologies, and the lessons we learned with securing data in large, complex, dynamic environments for thousands of customers. This allows us to protect our SaaS customers in ways that were not possible with our self-hosted solution. For instance, we can only provide MDDR to our SaaS customers because of the automation and centralized visibility within our platform. It is important to understand that for most other companies that underwent SaaS transition, the technological gap between their self-hosted and SaaS products was not as large as it is with our platform. This provides our SaaS customers with much higher satisfaction, which leads to higher renewal rates when compared to our remaining self-hosted customers, many of which are what we call single-threaded customers. This means they only use Varonis Systems, Inc.'s self-hosted platform for a single use case on one data store, and because they do not use the full data security platform, they began to show a greater resistance toward paying a premium to move to Varonis SaaS in Q3. In order to move quickly and maximize customer retention, we are focusing less on uplift or conversions of our remaining on-prem customers. We believe we can show even more value to SaaS to these customers and then have opportunities to upsell them in the future. In the fourth quarter, our decision to end-of-life our self-hosted platform was a catalyst that caused many of our remaining self-hosted customers to convert to SaaS. We converted approximately $65 million or one-third of our remaining non-SaaS ARR in the quarter and believe that between $50 to $75 million of the remaining self-hosted customers will convert by the end of the year. At the same time, we continue to see strong demand from both new and existing customers because they can secure data with minimal effort because of our automation. Other DSPM tools may be able to identify a portion of sensitive data, but no other tool can find sensitive data in the complete way, fix misconfigurations at scale automatically, and alert and respond to threats, delivering automated outcomes like Varonis Systems, Inc. does. Within our SaaS portfolio, MDDR and CoPilot continue to show strong adoption trends, and Varonis for cloud environments continued its momentum, which was driven by the investment we have made in our platform to expand our use cases and protect many more data platforms. We are seeing this demand because customers are realizing that visibility alone is not enough and classification without protection is a liability. Automation is necessary to achieve real outcomes. Early conversations with customers on our database activity monitoring and email security products underscore our belief that these are a strong fit for our portfolio in 2026. We expect our reps to put significantly more focus on new business and SaaS customers. Over time, we believe this focus will help us unlock the potential of this market. Now, I would like to step back from our near-term results and discuss why we believe we are best positioned to help companies safely adapt AI and prevent data breaches. Varonis Systems, Inc. was founded on the belief that managing and protecting data would be impossible without automation. Over time, our goals have been fueled by the constant balance between productivity and security. Today, the emergence of AI is accelerating both the volume and complexity of data at an unprecedented rate. The scale of data growth is matched only by the AI's ability to increase the sophistication of modern cyber threats. Cybercriminals are leveraging AI agents to infiltrate organizations with minimal human involvement. Recent incidents, such as Chinese state actors using cloud code to breach major corporations, highlight the sensitivity and ease of these attacks. Most of these AI-powered attacks start with social engineering. Attackers are not hacking computers; they are hacking trust, and users cannot tell what is real or fake anymore. Cybercriminals are using AI without Companies want to adapt AI as quickly but struggle to due to concerns over data security. The deployment of AI agents raises critical compliance questions: What data does the agent have access to? Is that data sensitive? Is the agent behaving as expected? Most organizations struggle to answer these questions for human users, and the challenge is amplified as they must now secure exponentially more AI agents. Agents are nothing without data. The more data agents can access, the more useful and more risky they become. They operate faster than humans, collaborate autonomously, and maximize their privilege by design. AI security depends on data security. In addition, companies will need guardrails and controls around their AI agents and toolsets. To accelerate our ability to help companies safely adapt AI, Varonis Systems, Inc. announced today that it has acquired Altu, an AI security company. The acquisition strengthens Varonis Systems, Inc.'s ability to protect enterprises from emerging AI risks by combining Altu's end-to-end visibility and guardrails for AI tools with Varonis Systems, Inc.'s ability to protect the underlying data and identities using my AI agent. Altu adds end-to-end visibility and control across the AI lifecycle. It inventories AI components and infrastructure, locks it down, monitors AI tools, and automates compliance. The acquisition reinforces our data-first strategy and extends our platform to secure all AI systems and the data powering them. Our SaaS platform allows for much faster organic innovation and integration of tuck-in acquisitions, which enhance our customers' ability to stay ahead of bad actors. Since launching SaaS, we have gone wider and deeper with our customers, stopped breaches everywhere, and we can now tap into more budgets than ever, including data and AI security, database activity monitoring, and email security. We have unified unstructured, semi-structured, and structured data security into a single platform, which is essential in an age of AI because AI uses all data types. When you combine Interceptor, which is our image security offering, with our SaaS platform and MDDR, it becomes a force multiplier. It stops threats even faster and keeps threat actors even farther from data. With that, I would like to briefly discuss a couple of key customer wins from Q4. We continue to see strong demand from new customers. One example of this was a healthcare service organization that was performing a risk assessment during a multi-cloud migration and realized that the native tools were insufficient to lock down their data. As a result, they launched a DSPM RFP process and ultimately chose Varonis Systems, Inc. after we immediately uncovered several hundred physical misconfigurations, many of which were automatically fixed. We also identified over 900,000 exposed PII records and executive strategy materials. Varonis Systems, Inc.'s simplicity, advanced threat detection, unified interface, and automatic remediation were decisive against competitors, and they ultimately purchased Varonis SaaS with MDDR for hybrid environments, CoPilot, AWS, Azure, and Google Cloud Platform, as well as Unix and Linux, and the Universal Database Connector. In addition to strong new customer momentum, we continue to see existing customers realizing the benefits of SaaS. One example was a hospital system of 45,000 employees that originally bought Varonis Systems, Inc. to remediate overexposure of on-prem HIPAA data. As they began a cloud migration process, they noticed gaps in the ability of native tools to remediate overexposure and label data at scale. During our cloud risk assessment, we discovered over half a million instances of HIPAA and PII data open to everyone in the organization. Our ability to identify and remediate these exposures led this customer to convert to Varonis SaaS with MDDR for hybrid environments, CoPilot, and data lifecycle automation for Windows SaaS. In summary, we are excited by the performance of our SaaS business, which is being driven by the automated value proposition that we deliver to our customers on top of our scalable architecture. We look forward to continuing our momentum and ending the year as a fully SaaS company, which will unlock many more benefits as we capture our growing market opportunity, and we believe in the path to achieving our 2027 financial targets. With that, let me turn the call over to Guy. Guy?