Latest news with #SantoshKrishnan
Techday NZ
3 days ago
- Business
- Techday NZ
Elastic launches Logs Essentials for cost-effective cloud log analytics
Elastic has announced the release of Logs Essentials, a new serverless log analytics tier offered within Elastic Cloud Serverless and designed for site reliability engineers (SREs) and developers. Logs Essentials is positioned as a lower-priced service to provide teams with essential log ingestion, searching, visualisation, and alerting without the requirement to manage the underlying infrastructure. The solution is built on the same stateless architecture as Elastic Observability, providing the ability to scale automatically and without operational overhead while retaining high availability. Core features The product enables users to perform fast and precise log analytics using filters, pattern matching, alerting, rich visualisations, and ES|QL, Elastic's piped query language. According to Elastic, this feature set is designed to help SREs quickly identify and resolve issues, improving the efficiency and effectiveness of response efforts to operational incidents. Santosh Krishnan, General Manager, Observability & Security at Elastic, commented: "SREs need a hassle-free, scale-as-you-go, high-availability logging solution that empowers them to focus entirely on operational insights, not infrastructure, without the complexity of standing up and maintaining observability tooling," Santosh Krishnan, general manager, Observability & Security at Elastic. "Logs Essentials makes it easy to get started with Elastic by offering a simple, reliable path to insights at a lower entry point." Logs Essentials is designed for teams that require core log analytics capabilities but are not seeking to pay for more advanced features. When more comprehensive observability is required, there is an upgrade path to Elastic Observability Complete, which includes further workflows and feature sets. Pricing and scalability Elastic has highlighted the tier's price-optimised model, where customers pay for the data they ingest and store, rather than committing to permanent infrastructure or premium licensing. This approach aims to make log analytics accessible for organisations of varying sizes, particularly those that want to avoid fixed costs or the complexities associated with on-premises deployments. The automatic scaling feature is managed through Elastic Cloud Serverless and is intended to maintain performance as log volume changes, especially during traffic spikes or incident investigations. The stateless design is noted as being central to enabling seamless scaling and system resilience. Operational insights Elastic states that Logs Essentials supports teams in accelerating root cause analysis and in obtaining deep contextual insights, as well as proactive detection of operational issues. The service is targeted to provide a "hassle-free entry point for operational insights," according to statements in the product description included in the release. Elastic also pointed to the popularity and existing adoption of its platform in the market, citing usage by thousands of companies, including more than half of the Fortune 500. Service availability Logs Essentials is now available within Elastic Cloud. Registration is managed via the provider's standard channels, and customers are able to begin with a free trial before choosing to purchase the service. The new tier joins Elastic's portfolio of solutions that integrate search, observability, and security applications, all built upon Elastic's Search AI Platform. Users can deploy the tier without infrastructure management responsibilities, and scale their deployment as needed according to log volume and analytic requirements.
Yahoo
06-08-2025
- Business
- Yahoo
Elastic Announces Elastic AI SOC Engine for Exposing Complex, Hidden Threats
Elastic AI SOC Engine (EASE) reduces alert fatigue and investigation time by integrating context-aware AI with existing SIEM and EDR tools SAN FRANCISCO, August 06, 2025--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, today announced the launch of Elastic AI SOC Engine (EASE), a new serverless, easy-to-deploy security package that brings AI-driven context-aware detection and triage into existing SIEM and EDR tools, without the need for an immediate migration or replacement. EASE delivers agentless integrations, AI-driven alert correlation using Elastic's Attack Discovery, and an AI Assistant that empowers SOC analysts to uncover hidden, coordinated threats faster and reduce manual investigation time. Delivered on the Elastic Cloud, EASE gives security teams a friction-reducing path to prioritize threats, reduce alert fatigue, and enhance the value of their current security investments. "SOC analysts are overwhelmed by high alert volumes and lack the AI support they need from their existing SIEM and EDR solutions to investigate threats effectively," said Santosh Krishnan, general manager, Observability & Security at Elastic. "EASE brings Elastic's proven AI capabilities into the security tools teams already use, to automatically prioritize threats, correlate alerts, and accelerate investigations, reducing the load on teams. When ready, teams can seamlessly migrate to Elastic Security for a unified, AI-driven platform that brings together SIEM, XDR, and cloud security, without missing a beat." EASE is designed for fast deployment and immediate value in security environments that rely on Splunk, Microsoft Sentinel, CrowdStrike, and other tools. EASE includes: Agentless integrations: Native, agentless alert ingest from third-party SIEM and EDR platforms that allow users to apply AI analysis to alerts immediately. AI-powered alert correlation: Users get access to Elastic Attack Discovery, which triages, correlates and prioritizes alerts, as well as a streamlined AI-powered alert view, which supports analysts with AI-powered summaries and context. Context-aware AI Assistant: Agentless data connectors enrich investigations with internal knowledge from sources including Jira, GitHub, and SharePoint, and support natural language queries and RAG-based search across organizational data. Transparent AI with model flexibility: Choose the LLM that works best for your organization, either your own, or the Elastic Managed LLM. AI Assistant responses are cited, so you know what data was used. All queries, responses, and token usage are fully logged and trackable. Operational dashboards: Out-of-the-box metrics highlight time savings, detection improvements, and ROI to help security teams demonstrate business value. "Elastic is tackling a common challenge: how to bring open and transparent AI into the SOC without starting from scratch, said Michelle Abraham, senior research director, Security and Trust, IDC. "EASE helps teams with faster detection and investigation using the tools they already have." To learn more about EASE, read the Elastic blog. To get started, start your free trial today. About Elastic Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at Elastic and associated marks are trademarks or registered trademarks of Elasticsearch BV and its subsidiaries. All other company and product names may be trademarks of their respective owners. View source version on Contacts Media Contact Elastic PRPR-team@
Business Wire
06-08-2025
- Business
- Business Wire
Elastic Announces Elastic AI SOC Engine for Exposing Complex, Hidden Threats
SAN FRANCISCO--(BUSINESS WIRE)-- Elastic (NYSE: ESTC), the Search AI Company, today announced the launch of Elastic AI SOC Engine (EASE), a new serverless, easy-to-deploy security package that brings AI-driven context-aware detection and triage into existing SIEM and EDR tools, without the need for an immediate migration or replacement. EASE delivers agentless integrations, AI-driven alert correlation using Elastic's Attack Discovery, and an AI Assistant that empowers SOC analysts to uncover hidden, coordinated threats faster and reduce manual investigation time. Delivered on the Elastic Cloud, EASE gives security teams a friction-reducing path to prioritize threats, reduce alert fatigue, and enhance the value of their current security investments. 'SOC analysts are overwhelmed by high alert volumes and lack the AI support they need from their existing SIEM and EDR solutions to investigate threats effectively,' said Santosh Krishnan, general manager, Observability & Security at Elastic. 'EASE brings Elastic's proven AI capabilities into the security tools teams already use, to automatically prioritize threats, correlate alerts, and accelerate investigations, reducing the load on teams. When ready, teams can seamlessly migrate to Elastic Security for a unified, AI-driven platform that brings together SIEM, XDR, and cloud security, without missing a beat.' EASE is designed for fast deployment and immediate value in security environments that rely on Splunk, Microsoft Sentinel, CrowdStrike, and other tools. EASE includes: Agentless integrations: Native, agentless alert ingest from third-party SIEM and EDR platforms that allow users to apply AI analysis to alerts immediately. AI-powered alert correlation: Users get access to Elastic Attack Discovery, which triages, correlates and prioritizes alerts, as well as a streamlined AI-powered alert view, which supports analysts with AI-powered summaries and context. Context-aware AI Assistant: Agentless data connectors enrich investigations with internal knowledge from sources including Jira, GitHub, and SharePoint, and support natural language queries and RAG-based search across organizational data. Transparent AI with model flexibility: Choose the LLM that works best for your organization, either your own, or the Elastic Managed LLM. AI Assistant responses are cited, so you know what data was used. All queries, responses, and token usage are fully logged and trackable. Operational dashboards: Out-of-the-box metrics highlight time savings, detection improvements, and ROI to help security teams demonstrate business value. 'Elastic is tackling a common challenge: how to bring open and transparent AI into the SOC without starting from scratch, said Michelle Abraham, senior research director, Security and Trust, IDC. 'EASE helps teams with faster detection and investigation using the tools they already have.' To learn more about EASE, read the Elastic blog. To get started, start your free trial today. About Elastic Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at Elastic and associated marks are trademarks or registered trademarks of Elasticsearch BV and its subsidiaries. All other company and product names may be trademarks of their respective owners.
Techday NZ
15-07-2025
- Business
- Techday NZ
Elastic named Leader in 2025 Gartner Magic Quadrant for observability
Elastic has been recognised as a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms for the second consecutive year. Gartner recognition The company earned this placement for its Elastic Observability offering after an evaluation of its Completeness of Vision and Ability to Execute. The recognition acknowledges Elastic's work in developing AI-driven capabilities, support for open standards, and the scalability and cost-efficiency of its observability platform. Santosh Krishnan, General Manager, Observability & Security at Elastic, commented on the company's approach to observability, saying: "Visibility alone isn't enough; customers need rapid context-rich insights to troubleshoot complex systems. We feel Elastic's recognition as a Leader in this year's Gartner Magic Quadrant reflects how our open, scalable architecture with AI-driven capabilities is transforming observability from a reactive tool into a solution for real-time investigations while keeping costs low." Key features highlighted The company stated that its differentiation lies in several areas, including native integration with OpenTelemetry, a built-in AI Assistant, and zero-configuration AIOps for anomaly detection. Elastic's AI Assistant leverages Retrieval Augmented Generation (RAG) technology to connect with enterprise knowledge, supporting incident resolution through natural language queries. This allows operational teams to reduce time-to-insight across logs, metrics, and traces. Elastic's zero-config AIOps deploys machine learning capabilities out-of-the-box to automatically detect anomalies, forecast trends, and reveal patterns within large datasets. The piped query language, ES|QL, aims to simplify the complexity of large-scale IT investigations by enabling advanced queries across observability data. Krishnan stated that Elastic's placement in the Magic Quadrant demonstrates the effectiveness of continued investments in open standards and deployment flexibility, alongside scalable performance and cost optimisations. He described the solution's impact on organisations moving from reactive troubleshooting to real-time investigation of incidents and anomalies. Enterprise adoption Elastic's approach to observability has also been adopted by enterprises seeking to consolidate monitoring tools and improve operational efficiency. Eva Ulicevic, Director, Technology, Architecture, Strategy, and Analytics at Telefónica Germany, shared the impact the platform has had within the organisation: "By using Elastic and consolidating multiple tools, we reduced our root cause analysis time by 80%. We also reduced incidents that could severely impact our business." The platform is built on Elastic's Search AI Platform, supporting the monitoring and optimisation of applications, infrastructure, and end-user experience. Elastic's Search AI Lake is designed for petabyte-scale data retention, supporting efficient storage and search for structured and unstructured data. Industry context The Gartner Magic Quadrant evaluates vendors in the observability sector based on criteria such as vision, innovation, ability to execute, and breadth of capabilities. Elastic's leadership listing for the second year underscores continued investment in tools that address the challenges of managing, searching, and analysing large volumes of operational data. Elastic's commitment to open-source standards is emphasised by its native support for OpenTelemetry, enabling organisations to standardise instrumentation and data collection processes without requiring proprietary connectors. The observability platform is positioned to support organisations as they address the growing complexity of cloud-based architectures and meet increased demand for real-time performance monitoring, anomaly detection, and automated root cause analysis.
Business Wire
10-07-2025
- Business
- Business Wire
Elastic Recognized as a Leader in 2025 Gartner® Magic Quadrant™ for Observability Platforms
SAN FRANCISCO--(BUSINESS WIRE)-- Elastic (NYSE: ESTC), the Search AI Company, announced it has been positioned by Gartner as a Leader in the Magic Quadrant for Observability Platforms for its offering, Elastic Observability. The evaluation was based on specific criteria that analyzed the company's overall Completeness of Vision and Ability to Execute. 'Visibility alone isn't enough; customers need rapid context-rich insights to troubleshoot complex systems,' said Santosh Krishnan, general manager, Observability & Security at Elastic. 'We feel Elastic's recognition as a Leader in this year's Gartner Magic Quadrant reflects how our open, scalable architecture with AI-driven capabilities is transforming observability from a reactive tool into a solution for real-time investigations while keeping costs low.' We believe Elastic's placement as a Leader in the Magic Quadrant reflects its continued investment in open standards, AI-driven innovation, breadth of capabilities, and deployment flexibility. The key differentiators that set Elastic apart are: OpenTelemetry-native support: Elastic integrates natively with OpenTelemetry, allowing organizations to standardize on open-source instrumentation without custom connectors. AI-driven assistance: Elastic includes a built-in AI Assistant that connects to enterprise knowledge using Retrieval Augmented Generation (RAG) for accurate answers helping teams triage incidents and troubleshoot using natural language, reducing time-to-insight across logs, metrics, and traces. Zero-config AIOps: Elastic's out-of-the-box machine learning capabilities automatically detect anomalies, forecast trends, and uncover patterns across logs, metrics, and traces. Advanced analytics: Elastic's powerful piped query language (ES|QL) streamlines complex investigations by allowing advanced and faster queries across observability data. Optimized cost, scale and performance: Elastic's Search AI Lake supports petabytes of structured and unstructured data, enabling cost-efficient, high performance data storage without retention compromises. 'By using Elastic and consolidating multiple tools, we reduced our root cause analysis time by 80%,' said Eva Ulicevic, director, Technology, Architecture, Strategy, and Analytics at Telefónica Germany. 'We also reduced incidents that could severely impact our business.' Powered by Elastic's Search AI Platform, Elastic Observability helps organizations monitor, troubleshoot, and optimize their entire ecosystem from infrastructure and application performance to end-user experience. View a complimentary copy of the Magic Quadrant report to learn more about Elastic's strengths and cautions, among other provider offerings, here. Additional Resources Learn more about Elastic Observability and our position in the Gartner Magic Quadrant here. Get started with Elastic Observability here. Gartner, Magic Quadrant for Observability Platforms, Gregg Siegfried, Matt Crossley, Padraig Byrne, Andre Bridges, Martin Caren 7 July 2025. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. About Elastic Elastic (NYSE: ESTC), the Search AI Company, enables everyone to find the answers they need in real-time using all their data, at scale. Elastic's solutions for search, observability, and security are built on the Elastic Search AI Platform, the development platform used by thousands of companies, including more than 50% of the Fortune 500. Learn more at Elastic and associated marks are trademarks or registered trademarks of Elasticsearch BV and its subsidiaries. All other company and product names may be trademarks of their respective owners.
