Latest news with #SantoshKrishnan
Techday NZ
2 days ago
- 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
6 days ago
- 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.
Business Wire
24-06-2025
- Business
- Business Wire
Elastic Recognized as a Leader in Security Analytics by Independent Research Firm
SAN FRANCISCO--(BUSINESS WIRE)-- Elastic (NYSE: ESTC), the Search AI Company, announced that it has been named a Leader by Forrester Research in The Forrester Wave™: Security Analytics Platforms, Q2 2025. Elastic ranked highest in the Federated Search criterion and received the highest possible scores across 14 criteria, including Artificial Intelligence, Analyst Experience, Investigation and Deployment options. According to Forrester Principal Analyst and report author Allie Mellen, 'Elastic is an engineering-driven company that manages and analyzes data for security and observability use cases. It has a consistent vision of solving security as a data problem. Its innovation, especially in AI, is at the forefront of the market…' The report also states: 'Customers hail Elastic's support, its built-in security expertise, and its generative AI innovators, especially Attack Discovery and its use of retrieval augmented generation. Clients who want to work with an engineering-focused company that prioritizes an open and flexible approach and a cost-effective offering are best suited to Elastic.' Elastic believes it stood out in this evaluation for addressing the core needs of today's defenders: Operational efficiency: Elastic unifies SIEM, threat intel, XDR, and cloud security in one platform to reduce complexity and tool sprawl. AI with transparency: Elastic's AI capabilities explain their logic and augment—never replace—analyst workflows. Cost control and flexibility: Elastic removes paywalls, supports hybrid environments, and enables deployments in any cloud, air-gapped, or on-prem setup. Built for security analysts: With federated search, timeline views, and open detection rules, Elastic is designed to match how security analysts think and work. Proven outcomes: Elastic Security has become the platform of choice for organizations like KPN, Infomatica and global Fortune 500 companies, reducing MTTR by up to 99%, replacing tool sprawl, and delivering full MITRE ATT&CK coverage at a lower total cost of ownership, all while achieving better visibility across environments and improved SOC performance without vendor lock-in. Elastic believes this recognition affirms that it is delivering what modern security teams need: speed, visibility, and outcomes that scale. 'Elastic is committed to solving security as a data problem with an open, AI-driven analytics approach that puts analysts in control with visibility across the entire attack surface and augmenting team expertise with context-aware AI,' said Santosh Krishnan, general manager of Security and Observability at Elastic. 'For us, being recognized as a Leader by Forrester Research in the 2025 Forrester Wave for Security Analytics reiterates our continued investment in bringing powerful, practical security solutions to our customers.' For more information, read The Forrester Wave™: Security Analytics Platforms, Q2 2025 and our blog post, Elastic named a Leader in The Forrester Wave™: Security Analytics Platforms, Q2 2025. Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester's objectivity here. 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 B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.
Techday NZ
30-04-2025
- Business
- Techday NZ
Elastic unveils AI-powered migration tool for legacy SIEM users
Elastic has unveiled a new feature designed to simplify the often complex and time-consuming process of migrating from legacy Security Information and Event Management (SIEM) systems. Known as Automatic Migration, the feature applies generative AI and semantic search to translate and map detection rules into the Elastic Security platform—eliminating the need for manual rule rebuilding. Announced on 30 April, the capability is intended to reduce the cost, risk, and operational burden for organisations looking to modernise their security operations with Elastic. "Many security teams are stuck using their inefficient SIEMs due to the significant time and money it takes to transition to a modern solution, with migrating detection rules, dashboards, and other artifacts among the most challenging aspects for migration," said Santosh Krishnan, general manager of Security and Observability at Elastic. "By mapping and translating existing SIEM artifacts, Automatic Migration reduces the cost, complexity, and risk that comes with SIEM migration," he said. The core functionality of Automatic Migration lies in its ability to automatically map existing SIEM detection rules to Elastic-built rules using semantic search, rather than relying on exact text matches. Where mappings are unavailable, the feature uses generative AI grounded in custom knowledge to translate unmatched rules—along with associated lookups and macros—into functional Elastic queries. The announcement is part of Elastic Security's broader effort to integrate more AI-powered capabilities into its platform. Automatic Migration joins existing features such as Automatic Import, Attack Discovery, and the Elastic AI Assistant—each aimed at streamlining security operations through automation and machine learning. This move by Elastic comes as organisations continue to face mounting challenges in scaling and modernising their cybersecurity infrastructure, especially as existing SIEM solutions struggle to keep up with the growing volume and complexity of data. Elastic's approach centres on lowering the technical barriers associated with transitioning SIEM systems, which often involves time-intensive manual processes, including rule rewrites, dashboard configurations, and adapting data pipelines. By automating these critical tasks, the company aims to make the switch to Elastic Security more viable for organisations of various sizes. Automatic Migration is now available in technical preview for customers on the Enterprise licence tier or those subscribed to the Security Analytics Complete tier of Elastic Cloud Serverless. According to Elastic, the new capability reflects its commitment to helping organisations "find the answers they need in real-time using all their data, at scale." Elastic's suite of products spans search, observability, and security—all of which are built on its proprietary Search AI Platform. While the announcement focuses squarely on easing the transition away from legacy SIEMs, the broader context suggests Elastic is positioning itself as a more agile and AI-forward alternative to established security platforms that often require substantial manual upkeep and custom development. The Automatic Migration feature is expected to appeal to organisations that have been hesitant to abandon their current SIEM investments due to migration challenges. By lowering those hurdles, Elastic hopes to drive broader adoption of its security analytics platform and make advanced threat detection more accessible. In introducing Automatic Migration, Elastic is targeting a major friction point in enterprise cybersecurity strategy: how to migrate away from entrenched systems without disrupting operations or increasing vulnerability during the transition. Krishnan added, "Automatic Migration complements Elastic Security's expansive suite of AI-driven security analytics features," reinforcing the company's message that automation and AI are central to its ongoing development strategy. Elasticjoins a growing number of technology vendors using generative AI to tackle practical enterprise challenges, particularly those that demand speed, accuracy, and a deep understanding of context—traits that traditional rule-based systems often lack. As organisations continue to assess the value and limitations of their legacy security infrastructure, solutions like Elastic's Automatic Migration may offer a compelling path forward for those seeking a more modern, efficient, and scalable approach to SIEM.
