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Varonis Enhances Data Security Platform
Varonis Enhances Data Security Platform

Channel Post MEA

time3 days ago

  • Business
  • Channel Post MEA

Varonis Enhances Data Security Platform

Varonis Systems has announced Varonis Identity Protection, the latest enhancement to its Data Security Platform that gives organizations unified visibility and control of data and identities. Most identity security tools operate in a vacuum — with no understanding of the critical data each identity can access or how they're accessing it. Varonis connects the dots between identities and data, helping organizations automatically reduce access to their most sensitive data, fix identity posture issues, and stop identity-based threats — including those originating from insiders, stolen credentials, and AI tools and agents. Unlike traditional identity products, Varonis understands the blast radius of every identity — showing how much data would be exposed if an identity were compromised. Varonis Identity Protection distinguishes between human and non-human identities, classifies them as internal, guest, external, or privileged, and monitors how they interact with data to detect anomalies. 'Identity and data are deeply intertwined — securing one without the other leaves dangerous gaps,' said Varonis CEO, President, and Co-Founder Yaki Faitelson. 'By unifying identity and data security, Varonis gives customers the context they need to better ensure identity threats don't become data breaches.' Key Capabilities of Varonis Identity Protection: Machine Learning-Based Identity Classification: Varonis integrates with Entra ID, Okta, Active Directory, and others to map user accounts across environments. Using machine learning, Varonis auto-classifies identities — tagging executives, privileged users, service accounts, non-human identities, and more. Varonis integrates with Entra ID, Okta, Active Directory, and others to map user accounts across environments. Using machine learning, Varonis auto-classifies identities — tagging executives, privileged users, service accounts, non-human identities, and more. Peer Analysis & User Behavior Analysis: Varonis continuously analyzes peer behavior to detect anomalies in identity usage, flagging deviations from normal patterns to surface risky activity earlier. Identity Threat Detection & Response (ITDR): Varonis monitors identity providers for signs of compromise, alerting on suspicious logins, password resets, MFA changes, and policy updates — in context with each account's data access activity. Identity Posture Management With Automated Remediation: Varonis flags stale contractor accounts, excessive permissions, and missing MFA — then automatically remediates risks by revoking access, removing entitlements, and eliminating ghost accounts. Varonis was recently named a Leader in Identity Threat Detection and Response by GigaOm, recognizing the platform's advanced detection and automated response capabilities. These identity capabilities also enhance Varonis Managed Data Detection and Response (MDDR), enabling our expert analysts to detect and respond to a broader range of threats faster and more effectively across customer environments.

Varonis launches unified identity protection platform
Varonis launches unified identity protection platform

Techday NZ

time6 days ago

  • Business
  • Techday NZ

Varonis launches unified identity protection platform

Varonis has announced the introduction of Varonis Identity Protection, an enhancement to its Data Security Platform that aims to provide organisations with unified visibility and control of data and identities. The company stated that most existing identity security tools operate independently, lacking knowledge of the specific data each identity is authorised to access and the methods by which data is accessed. The new Varonis offering seeks to connect these aspects, enabling organisations to reduce unnecessary access to sensitive data, address identity posture issues, and counter identity-based threats including those from insiders, stolen credentials, and artificial intelligence tools and agents. Varonis Identity Protection sets itself apart from traditional identity products through its capability to calculate the potential data exposure, known as the blast radius, for every identity should it be compromised. The system distinguishes between human and non-human identities, classifies them as internal, guest, external, or privileged, and monitors their interactions with company data in order to detect anomalous behaviour. "Identity and data are deeply intertwined — securing one without the other leaves dangerous gaps." He continued, "By unifying identity and data security, Varonis gives customers the context they need to better ensure identity threats don't become data breaches," Yaki Faitelson, Varonis Chief Executive Officer, President, and Co-Founder, said. Key features of Varonis Identity Protection highlighted by the company include machine learning-based identity classification, continuous user behaviour analysis, identity threat detection and response (ITDR), and identity posture management with automated remediation. The solution integrates with identity providers such as Entra ID, Okta, and Active Directory to map user accounts across environments. By employing machine learning, Varonis automatically classifies identities by tagging executive roles, privileged users, service accounts, and non-human identities, among others. Through peer analysis and continuous user behaviour monitoring, Varonis detects anomalies in how identities are used, flagging deviations from typical patterns to identify potentially risky activity at an earlier stage. The platform's identity threat detection and response capabilities enable the monitoring of identity providers for indicators of compromise. This includes alerting on suspicious login attempts, unexpected password resets, changes in multi-factor authentication, and policy adjustments, all contextualised with each account's data access history. Varonis Identity Protection's posture management features allow it to identify issues such as stale contractor accounts, excessive permissions, and missing multi-factor authentication. The platform then automatically mitigates these risks by revoking access, removing entitlements, and eliminating unused accounts. The capability enhancements to identity protection also extend to Varonis Managed Data Detection and Response (MDDR). With these improvements, Varonis analysts are able to detect and address a wider array of threats more rapidly and effectively across customer environments. Varonis was recently named a Leader in Identity Threat Detection and Response by research and analysis firm GigaOm, with specific recognition for the platform's detection and automated response capabilities.

AI tools expose sensitive data at 99% of organisations
AI tools expose sensitive data at 99% of organisations

Techday NZ

time20-05-2025

  • Business
  • Techday NZ

AI tools expose sensitive data at 99% of organisations

A report from Varonis has found that 99% of organisations have sensitive data exposed to artificial intelligence tools due to security shortcomings. The State of Data Security Report: Quantifying AI's Impact on Data Risk examined the data risk landscape in 1,000 real-world IT environments, focusing on how AI-driven technology may amplify the vulnerability of sensitive information. The findings suggest that widespread issues such as misconfigurations, overly permissive access, and other data security gaps are contributing to the exposure of confidential data. "The productivity gains of AI are real — and so is the data security risk," said Varonis Chief Executive, President, and Co-Founder Yaki Faitelson. "CIOs and CISOs face enormous pressure to adopt AI at warp speed, which is driving the adoption of data security platforms." "AI runs on data, and taking a data-centric approach to security is critical to avoid an AI-related data breach," Faitelson continued. Varonis conducted its analysis by assessing data from nearly 10 billion cloud resources, spanning more than 20 petabytes, across commonly used infrastructure-as-a-service and software-as-a-service applications. These included AWS, Microsoft Azure, Google Cloud, Box, Salesforce, Microsoft 365, Okta, Databricks, Slack, Snowflake, and Zoom, among others. The report found that 99% of organisations surveyed had sensitive data unnecessarily exposed to AI tools. Moreover, 90% of sensitive cloud data, including data used for AI training, was open and accessible to AI-powered tools, raising concerns about the potential for unintended data leakage. The report also revealed that 98% of organisations had unverified applications, including instances of so-called shadow AI, within their environments. This means that unauthorised or unmanaged AI applications are operating in the background, potentially increasing the risk of data breaches and compliance failures. Another key finding highlighted that one in seven organisations did not enforce multi-factor authentication across their SaaS and multi-cloud environments. Organisations may be more susceptible to unauthorised access and related risks without multi-factor authentication. The analysis further noted that 88% of organisations had ghost users—accounts that are no longer in active use but have not been de-provisioned—lingering in their environments. If left unchecked, such accounts can provide an entry point for cybercriminals. The empirical approach of the study sets it apart, as Varonis stated it was based on the analysis of active organisational environments rather than self-reported surveys about AI readiness. This method provided a more accurate reflection of the current state of cloud and data security risks associated with AI adoption. The increasing drive for AI-enabled productivity is evident in IT environments, but the report points out that many organisations may not have implemented the necessary controls for safeguarding sensitive information. The findings suggest that a technical and policy focus on closing security gaps and reducing unnecessary data exposure is required to mitigate the potential risks.

AI is a Ticking Time Bomb for Your Data, Reveals New Report From Varonis
AI is a Ticking Time Bomb for Your Data, Reveals New Report From Varonis

Yahoo

time20-05-2025

  • Business
  • Yahoo

AI is a Ticking Time Bomb for Your Data, Reveals New Report From Varonis

The State of Data Security Report shares findings from 1,000 real-world IT environments to uncover the dark side of the AI boom Varonis' State of Data Security Report: Exposing Data at Risk in the Age of AI MIAMI, May 20, 2025 (GLOBE NEWSWIRE) -- A new report from Varonis reveals 99% of organizations have sensitive data exposed to AI. The State of Data Security Report: Quantifying AI's Impact on Data Risk examines how much sensitive information is exposed and vulnerable to AI tools due to misconfigurations, overly permissive access, and other data security gaps. 'The productivity gains of AI are real — and so is the data security risk,' said Varonis CEO, President, and Co-Founder Yaki Faitelson. 'CIOs and CISOs face enormous pressure to adopt AI at warp speed, which is driving the adoption of data security platforms. AI runs on data, and taking a data-centric approach to security is critical to avoid an AI-related data breach.' Varonis analyzed data risk assessments from 1,000 organizations — providing empirical evidence of risk, not conclusions based on AI readiness surveys and polls. The dataset included nearly 10 billion cloud resources — over 20 petabytes of data — within popular IaaS and SaaS applications and services, including AWS, Microsoft Azure, Google Cloud, Box, Salesforce, Microsoft 365, Okta, Databricks, Slack, Snowflake, Zoom, and many others. In the organizations examined, Varonis found: 99% have sensitive data unnecessarily exposed to AI tools. 90% of sensitive cloud data, including AI training data, is open and accessible to AI tools. 98% have unverified apps, including shadow AI, within their environments. 1 in 7 do not enforce MFA across SaaS and multi-cloud environments. 88% have ghost users lurking in their environments. Get the State of Data Security Report: Exposing Data at Risk in the Age of AI. Additional Resources: See Varonis in action: schedule a 30-minute demo. Check out these Varonis integrations. For more information on Varonis' solution portfolio, please visit Visit our blog and join the conversation on X, LinkedIn, and YouTube. About VaronisVaronis (Nasdaq: VRNS) is the leader in data security, fighting a different battle than conventional cybersecurity companies. Our cloud-native Data Security Platform continuously discovers and classifies critical data, removes exposures, and detects advanced threats with AI-powered automation. Thousands of organizations worldwide trust Varonis to defend their data wherever it lives — across SaaS, IaaS, and hybrid cloud environments. Customers use Varonis to automate a wide range of security outcomes, including data security posture management (DSPM), data classification, data access governance (DAG), data detection and response (DDR), data loss prevention (DLP), AI security, and insider risk management. Varonis protects data first, not last. Learn more at Investor Relations Contact:Tim PerzVaronis Systems, Inc.646-640-2112investors@ News Media Contact:Rachel HuntVaronis Systems, Inc.877-292-8767 (ext. 1598)pr@ A photo accompanying this announcement is available at in to access your portfolio

Varonis (NASDAQ:VRNS) Surprises With Q1 Sales
Varonis (NASDAQ:VRNS) Surprises With Q1 Sales

Yahoo

time07-05-2025

  • Business
  • Yahoo

Varonis (NASDAQ:VRNS) Surprises With Q1 Sales

Data protection and security software company Varonis (NASDAQ:VRNS) reported revenue ahead of Wall Street's expectations in Q1 CY2025, with sales up 19.6% year on year to $136.4 million. The company expects next quarter's revenue to be around $147.5 million, close to analysts' estimates. Its non-GAAP profit of $0.01 per share was significantly above analysts' consensus estimates. Is now the time to buy Varonis? Find out in our full research report. Varonis (VRNS) Q1 CY2025 Highlights: Revenue: $136.4 million vs analyst estimates of $133.4 million (19.6% year-on-year growth, 2.3% beat) Adjusted EPS: $0.01 vs analyst estimates of -$0.05 (significant beat) Adjusted Operating Income: -$6.5 million vs analyst estimates of -$11.98 million (-4.8% margin, 45.7% beat) The company reconfirmed its revenue guidance for the full year of $617.5 million at the midpoint Management raised its full-year Adjusted EPS guidance to $0.16 at the midpoint, a 3.3% increase Operating Margin: -32.1%, up from -41.8% in the same quarter last year Free Cash Flow Margin: 47.9%, up from 12.6% in the previous quarter Annual Recurring Revenue: $664.3 million at quarter end, up 18.6% year on year Billings: $142.4 million at quarter end, up 21.1% year on year Market Capitalization: $4.91 billion Yaki Faitelson, Varonis CEO, said, "Our first quarter results reflect the momentum of our SaaS platform as well as the many tailwinds that are contributing to the growth in our business, including MDDR and Generative AI. Our solution has never been more relevant, and we look forward to completing our SaaS transition this year which will unlock many more benefits for our customers and our company as we execute on our significant market opportunity.' Company Overview Founded by a duo of former Israeli Defense Forces cyber warfare engineers, Varonis (NASDAQ:VRNS) offers software-as-service that helps customers protect data from cyber threats and gain visibility into how enterprise data is being used. Sales Growth A company's long-term sales performance can indicate its overall quality. Any business can experience short-term success, but top-performing ones enjoy sustained growth for years. Over the last three years, Varonis grew its sales at a 11.7% compounded annual growth rate. Although this growth is acceptable on an absolute basis, it fell short of our standards for the software sector, which enjoys a number of secular tailwinds. Varonis Quarterly Revenue This quarter, Varonis reported year-on-year revenue growth of 19.6%, and its $136.4 million of revenue exceeded Wall Street's estimates by 2.3%. Company management is currently guiding for a 13.2% year-on-year increase in sales next quarter.

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