Thanks, Tim, and good afternoon, everyone. We appreciate you joining us to review our second quarter results and the progress of our SaaS transition. Our Q2 performance reflects our continued strong ARR growth and cash flow generation as we accelerate towards the completion of our SaaS transitions and make investments to capture our growing market opportunity. Today, I want to remind you of what set Varonis apart as the leader in data security. In today's ever-changing environment, one thing remains constant. Data will continue to be created and shared, and usage of AI has only accelerated this trend. At the same time, attackers do not break in, they log in, and they need to secure data and the challenges involved are greater than ever. Varonis takes a data-first approach and help companies to locate their sensitive data, visualize who has access to it automatically lock it down and then automatically detect and respond to threats on it. Performing only 1 or 2 of these tasks is insufficient to protect data and what sets Varonis apart is our ability to successfully do all 3 of these tasks on data everywhere. In the second quarter, this approach contributed to an ARR growth of 19% to $693.2 million as we advance toward completing our SaaS transition. With SaaS ARR now representing about 69% of total ARR. Year-to-date, we generated $82.7 million of free cash flow, up from $67.3 million to the same point last year. Gary will review our results and our updated guidance in more detail shortly. We continue to experience strong demand to our SaaS platform for both new and existing customers, primarily due to the superior experience that Varonis SaaS and MDDR offers by enabling automatic data security with minimal effort. Additionally, I'm also proud to announce that we achieved the FedRAMP Authorization, enabling us to offer our entire SaaS platforms to the federal sector. Demand from both new and existing customers looking to protect cloud environments with Varonis continue to positively inflect and is becoming a material contributor to our business. This is driven by the investments we have made in our platform to expand our use cases, going wider and deeper and entering new markets, including DSPM, our ability to protect cloud data represents a significant untapped growth opportunity for us and transitioning our customers to our SaaS delivery model is helping us unlock this market's potential. Data security market is rapidly expanding because of many factors, including AI usage, the proliferation of data and evolving compliance. As a result, data security markets, like DSPM, are receiving new investments and focus, which is creating more budgeted line items and increasing our opportunity. Looking at the DSPM market, others, we see usually focused on discovery and classification in cloud databases because it has the lowest barrier to entry, and they don't address more challenging problems, like securing the data by automatically fixing risks and detecting threats or scaling to analyze large unstructured data sets. With that as a backdrop, it's important to note that seeing a problem does not solve a problem. Discovery and classification may find sensitive data, but they do not secure it. This generates potential exposure without providing a solution. Varonis has made significant investments to expand our coverage wider to both find and secure the data everywhere it lives, by providing more complete and up-to- date visibility than typical DSPM technologies. As a result, customers are consolidating their data security budgets with Varonis. I would like to dive deeper into why we win in competitive deals within the DSPM space. Our edge lives in the breadth and depth of our platform, following 3-step approach for find, fix, alert. All 3 critical components are needed to secure data, while DSPM point tools focus on discovering sensitive data Varonis is the only data security vendor that does is more, not just finding sensitive data but also finding where it is unprotected, fixing the risks, but locking down sensitive data automatically and continuously monitoring and alerting on unusual data activity. I will talk about the first step, find. Varonis not only discover and classify all of our customers' data, but also mark all the controls that you lock it down, analyzing permissions, identities, entitlements, masking and labeling, which creates a complete point inventory of choice. We know exactly where sensitive data lives, how it is exposed, who has access and how that access was granted. We also watch data usage, tracking every time user accesses modifies or delete data. To use a simple example, Varonis watches in the bank vault, compiling an inventory of everything inside, every person that can access the vault including everything they touch and can access inside while logging all activity in and around the world. And all this happened without impacting the customers' experience. Now I will talk about step 2, fix. The holy grade of security is ensuring identities have access to the right data, and this is very hard to do because you need all the right ingredients which we provide. Varonis understand how data is being used and where it is unnecessary exposed because we watch all data activity and connect identities to data. Our policies developed through extensive experience with thousands of large customers are designed to intelligently and automatically mitigate risks such as access to data that identities should not have or no longer need. To continue example because Varonis knows who can access the vault, what the role is and what they do regularly access, we can remove unneeded access like stale access from a former intern that works at a competitor or a bank employee that has moved to another branch, but still have the keys to the vault. Finally, let's talk about step 3, which is a alert. Since Varonis see every touch of data, we can baseline user behavior and detect threats or abnormal behavior in real time. Because we watch data directly, we generate alerts with very little loans. This enables our MDDR team, which is powered by AI to efficiently watch customer data and investigate, validate and prevent breaches with a 30-minute SLA on ransomware and without customer effort. To wrap up our example, Varonis watches the vault and can sound an alarm when receptionist tried to access it after hours or when a bank manager start going in and out of the vault more often than normal and with more cash. I would like to contrast our approach to what we see from DSPM providers. Starting with step 1, the first key difference is that most DSPM providers schedule scans and use sampling as opposed to viewing all the data to discover and classify sensitive data because they cannot do it any other way. They do not track data activity so they don't know when data is added or changed. So their information is immediately stay, and they lack the scalability to view everything. Sampling allows them to scan quickly, but this also means that significant amount of potential exposed data is never found and they cannot deliver full picture of risk or compliance. And because scans schedule, their picture is always out of date. As a result of these shortcomings, they try to avoid risk assessment, would you be willing to store your money at the bank that does not have security camera and try to protect it using a lease that only includes 10% of its inventory and is only received on Friday at 5:00 p.m. Moving to step 2, because DSPM providers don't map or track access to sensitive data, there is no viable safe way to fix risks that they find. As a result, these providers just generate service tickets, leaving overall security teams to manually address them. We hear from prospects that this approach leads to time consuming busy work and often time, followed by a data breach. Finishing with step 3, DSPM point tools cannot detect threats to perform any meaningful forensics. In an event of the suspect or actual breach because they don't track data usage, there is no activity in monitoring and no user behavior analytics. Going back to our example using DSPM point tools, is like trying to understand how a bank was robbed and what was taken with no security cameras or footage, no record of who had access to the vault and an outdated and incomplete record of what was in the vault. To wrap up, DSPM tools focus on discovery and classification mostly in the cloud. They are compliance, mandates and not security solutions. Varonis not only discover and classified data but also intelligently and automatically locks it down everywhere and watches it for threats. Our approach results is vastly reduced risk and much lower likelihood for a data breach as compared to alternatives. Customers understand it in our ability to showcase these outcomes automatically at scale is why we are winning. Another key driver of our recent success has been the secular trend of AI usage. This quarter, we expanded our coverage to protect OpenAI ChatGPT enterprise. We are also excited to announce an update to our strategic partnership with Microsoft. This update is focused on joint feature development, which builds on our existing innovations to help organizations adapt Microsoft co-pilot security. While deepening our integration with them together, we are addressing 1 of the most critical challenges, which is ensuring AI tools and LLM do not expose data by aligning our engineering efforts, we are accelerating our ability to drive secure AI adoption scale. With that, I would like to briefly discuss a couple of key customer wins from Q2. The first 1 I would like to talk about is a large health care organization of over 20,000 employees that was concerned about their ability to respond to ransomware and comply with SEC disclosure requirements for their AWS environment. They were evaluating Varonis against the DSPM point tools and it became clear that only Varonis would meet their success criteria, our ability to cover petabyte scale cloud environment and provide customers with the tools to avoid breaches and find without effort, where capabilities this point solution could not match. In contrast, the DSPM tools scanned a small sample of data that quickly became stale, and could not provide any meaningful outcomes as a result. This decision was an easy one to choose Varonis. We again saw strong demand from existing customers looking to convert to our SaaS platform. One example was a defense contractor with over 25,000 employees, their new CISO who was undergoing a digital transformation project needed to modernize the data security strategy. Their CISO stated the future of cybersecurity is data security, and was quickly on board with Varonis SaaS understanding the need for automated protection. This is also a key example of our Microsoft better together partnership since they will use Varonis to automate the their purview labeling program and automatically reduce exposed data and proactively stop threats. They purchased Varonis SaaS with MDDR for hybrid environments co-pilot and Azure. In summary, we are excited by the many tailwinds we are seeing in our business. The simplicity and automated outcomes of our SaaS platform, the adoption of AI and growing awareness of data-centric cloud security are driving increased momentum in our business. We remain focused on executing on this tailwind as we capture our massive and growing market opportunity. With that, let me turn the call over to Guy.