Thanks, Tim, and good afternoon, everyone. Thank you for joining us to discuss our first quarter results which represented a strong start to the year. In addition to discussing the results, I would like to review our SaaS transition progress and the key drivers of our business for this year. But first, let me remind you why Varonis exists and the problems we solved. Data is valuable, which is why bad actors want to steal it. Companies invest in security to protect the data, but securing it is very difficult. Varonis solves the problem by helping companies locate their sensitive data, visualize who has access to it, locks down and detect and respond to threats on it. And because of the sophisticated automation that we have built into our Varonis SaaS platform, customers spend very little time and effort to protect their data, and now with MDDR, will reduce this even more. This allows companies to collaborate safely and get the most value from their data while managing risk. Our first quarter results reflect the sustained momentum of our SaaS transition and the positive reception of our managed data detection and response service or what we refer to as MDDR. ARR grew 17% to $560.3 million, and we generated $56.4 million free cash flow this quarter versus $35.7 million last year. SaaS ARR now represents approximately 30% of total ARR. Guy will review our Q1 results and our updated guidance in more detail. I want to express how proud I am of the Varonis team. While the selling environment has stabilized, it remains challenging, and the Varonis team executed well during the first quarter, and I believe that we are only scratching the surface of what lies ahead for us. The transition to a SaaS delivery model continues to show momentum because of the many benefits that our customers realize, and I will quickly remind you of a few. Customers can achieve automated outcomes, which means they can ensure the data is protected with very little effort. SaaS is quicker to deploy and operationalize because of significantly lower infrastructure and personnel investments. SaaS is easier to maintain and upgrade. Additionally, there are 3 key benefits that we realize. They are shorter sales cycle, larger initial [indiscernible] and margin benefits over time. In addition to our SaaS transition, I would like to discuss the 3 additional drivers of the business that I've mentioned last quarter, which are our MDDR service, the adoption of enterprise-generated AI and increasing compliance requirements. Today, I would like to focus on MDDR and Gen AI. Last quarter, we introduced our MDDR service, which is the first managed service for monitoring and protecting critical data. It is a paid service that builds upon our proactive incident response offering by providing a service level agreement and around-the-clock coverage. It is important to note that this service is only possible for our SaaS customers because of the visibility and automation built into our SaaS platform. We just began selling this offering in the first quarter, and we have already started to see great momentum with it. So let me explain why this is already happening and why we view this as a game changer for our company. MDDR is a natural evolution of our platform and still a significant unmet need in the market. One of the challenges people face is that they don't have the people to monitor and investigate alerts fast enough. Now with MDDR, we take this burden from customers and put it on us. If we see a threat anywhere within our MDDR customer base, we can stop it and simply notify the customer after the problem has been solved. We can do this because we pioneered the use of machine learning for data security and user behavior analysis, giving us years of experience building highly accurate threat models. Our team leverages a significant automation plus our unique metadata telemetry, such as data sensitivity, access events and permissions that allow us to detect if data is under attack and to catch threats missed by others. I've also been asked to clarify the value our MDDR service provides to customers that already have an endpoint detection and response service or managed detection and response service. The answer is actually very simple. On the perimeter phase, we believe that we are best positioned to save companies because we have been monitoring the data inside that perimeter ever since we started. Companies sometimes pay in millions for other threat detection and response services, but when an incident happens with services that don't focus on data can always show you when the attack began. We started to answer the most important question, was any data stolen? MDRs and EDRs can reveal how a bad actor gained access and what tactics they use to get in but cannot tell a customer if any data was taken. The situation is that discovering the bank was robbed but having no certainty about the most important elements whether money was stolen or if the vault remains secure. This blindness is where organizations with sophisticated security stocks can still fall victim to data breaches from insider threats or attacks that bypass the perimeter. Without Varonis, data is usually partly accessible with anyone or anything inside the perimeter and even closely monitored, this means more data is likely to be breached and companies have a harder time quantifying what was taken during the breach, making the liability much higher. Varonis customers automatically shrink their blast radius, which reduces the potential damage that an insider can do and forces bad actors to work harder to get to sensitive data, giving us more opportunities to catch them. With MDDR, we often catch that actors before they get to data. And because we watch the data, we are able to quickly quantify the damage. This means we can stop the breach and limit their exposure and their potential liability. This is why no matter what platform a customer has, they will still need MDDR. To finish our bank robbery example, Loans MDDR watches the money around the clock and can tell the bank manager that their money is safe and the vault is secure. Now I would like to touch on our generative AI opportunity. This technology presents tremendous productivity opportunities. But in order to reap the benefits of it, you need strong data security. For example, AI can reveal critical data to their own machines and people because most generative AI tools utilize existing access controls which most organizations have been locked down, leaving them overexposed. Companies also need to prevent sensitive data on being used in large language models and hackers to leverage these tools to steal important data more easily. Bottom line, generative AI is causing organizations to take a hard look at the data security strategy. This is why we continue to see generative AI coming up in so many of our customers' conversations as organizations try to understand how they can safely realize the productivity benefits. So far, companies are taking a very careful approach and are thoughtfully considering with potential risks before expanding from the pilot phase into organization-wide rollouts. As a result, we expect the near-term adoption of the wide-scale Gen AI to be measured as companies gain comfort around how they can secure their data. Overall, the feedback we are hearing from customers only serves to strengthen the conviction we have in our ability to benefit from this enormous secular tailwind. Our partnership with Microsoft is progressing well. And 1 month ago, we announced the industry-first cybersecurity solution for Microsoft 365 Copilot. This will be sold as an add-on to our existing Microsoft 365 staff package and allows organizations to monitor copilot data access in real time, detect abnormal copilot interactions and automatically remove sensitive data accessible by both humans and AI engines. In addition to the enhancement to our platform, we are seeing Gen AI act as a catalyst for conversations with prospects. And although we are seeing material ARR from Gen AI related deals, we are seeing healthy pipeline build with respect to this opportunity. With that, I would like to briefly discuss a couple of key customer wins on Q1. A large university and affiliated hospital system with 6,000 employees became in Varonis SaaS MDDR customer this quarter, a broad mandate to secure sensitive data led to a risk assessment, so we discovered 4 million sensitive records and 2 million instances of student and patient PII exposed to everyone in the organization. This university evaluated several CSPM and DSPM and legacy data security solutions, but ultimately purchased Varonis SaaS package with MDDR protection for the UNIX and hybrid Windows environment with our automation and metadata centric telemetry, Varonis MDDR to supplement their existing MDDR and MSSP vendors by providing protection that is focused on securing their most valuable asset data. We're also seeing strong engagement from existing customers. A broadband provider initially became a customer in 2014 and with the goal of identifying and remediating overexposed sensitive data and enhancing their threat detection capabilities. With our self-hosted offering, this required some customer effort and meaningful infrastructure investments. This customer converted to Varonis SaaS with MDDR protection for the hybrid Windows environment. They will benefit from our automated remediation and will realize infrastructure savings while freeing their security team since we monitor and respond to alerts. In summary, the results to a strong start driven by the automated outcomes that customers receive from our SaaS platform and our recently introduced MDDR offering, which we believe is a game changer for our company. We are excited to capitalize on the tailwind of MDDR, Gen AI and increasing data-centric compliance regulation as we capture our significant market opportunity. With that, let me turn the call over to Guy Melamed.