Latest news with #Varonis
Channel Post MEA
3 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.
Techday NZ
6 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.
Yahoo
02-06-2025
- Business
- Yahoo
CrowdStrike (CRWD) Reports Earnings Tomorrow: What To Expect
Cybersecurity company CrowdStrike (NASDAQ:CRWD) will be reporting results tomorrow after market close. Here's what to look for. CrowdStrike beat analysts' revenue expectations by 2.4% last quarter, reporting revenues of $1.06 billion, up 25.2% year on year. It was a strong quarter for the company, with a solid beat of analysts' billings estimates and an impressive beat of analysts' EBITDA estimates. Is CrowdStrike a buy or sell going into earnings? Read our full analysis here, it's free. This quarter, analysts are expecting CrowdStrike's revenue to grow 20% year on year to $1.11 billion, slowing from the 33% increase it recorded in the same quarter last year. Adjusted earnings are expected to come in at $0.66 per share. Analysts covering the company have generally reconfirmed their estimates over the last 30 days, suggesting they anticipate the business to stay the course heading into earnings. CrowdStrike has missed Wall Street's revenue estimates twice over the last two years. Looking at CrowdStrike's peers in the cybersecurity segment, some have already reported their Q1 results, giving us a hint as to what we can expect. Varonis delivered year-on-year revenue growth of 19.6%, beating analysts' expectations by 2.3%, and SentinelOne reported revenues up 22.9%, in line with consensus estimates. Varonis traded up 2.2% following the results while SentinelOne was down 11.6%. Read our full analysis of Varonis's results here and SentinelOne's results here. There has been positive sentiment among investors in the cybersecurity segment, with share prices up 7.6% on average over the last month. CrowdStrike is up 6.2% during the same time and is heading into earnings with an average analyst price target of $422.53 (compared to the current share price of $471.10). Today's young investors likely haven't read the timeless lessons in Gorilla Game: Picking Winners In High Technology because it was written more than 20 years ago when Microsoft and Apple were first establishing their supremacy. But if we apply the same principles, then enterprise software stocks leveraging their own generative AI capabilities may well be the Gorillas of the future. So, in that spirit, we are excited to present our Special Free Report on a profitable, fast-growing enterprise software stock that is already riding the automation wave and looking to catch the generative AI next. Sign in to access your portfolio
Yahoo
27-05-2025
- Business
- Yahoo
SentinelOne (S) Q1 Earnings: What To Expect
Cyber security company SentinelOne (NYSE:S) will be reporting earnings tomorrow after market close. Here's what to look for. SentinelOne beat analysts' revenue expectations by 1.4% last quarter, reporting revenues of $225.5 million, up 29.5% year on year. It was a slower quarter for the company, with a significant miss of analysts' billings estimates and full-year guidance of slowing revenue growth. It added 101 enterprise customers paying more than $100,000 annually to reach a total of 1,411. Is SentinelOne a buy or sell going into earnings? Read our full analysis here, it's free. This quarter, analysts are expecting SentinelOne's revenue to grow 22.5% year on year to $228.2 million, slowing from the 39.7% increase it recorded in the same quarter last year. Adjusted earnings are expected to come in at $0.02 per share. Analysts covering the company have generally reconfirmed their estimates over the last 30 days, suggesting they anticipate the business to stay the course heading into earnings. SentinelOne has missed Wall Street's revenue estimates twice over the last two years. Looking at SentinelOne's peers in the cybersecurity segment, some have already reported their Q1 results, giving us a hint as to what we can expect. Varonis delivered year-on-year revenue growth of 19.6%, beating analysts' expectations by 2.3%, and Qualys reported revenues up 9.7%, topping estimates by 1.8%. Varonis traded up 2.2% following the results while Qualys's stock price was unchanged. Read our full analysis of Varonis's results here and Qualys's results here. There has been positive sentiment among investors in the cybersecurity segment, with share prices up 7.3% on average over the last month. SentinelOne is up 7.3% during the same time and is heading into earnings with an average analyst price target of $24.53 (compared to the current share price of $19.80). When a company has more cash than it knows what to do with, buying back its own shares can make a lot of sense–as long as the price is right. Luckily, we've found one, a low-priced stock that is gushing free cash flow AND buying back shares. Click here to claim your Special Free Report on a fallen angel growth story that is already recovering from a setback. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Techday NZ
20-05-2025
- 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.
