What do we do

At GIOS, we are committed to helping our clients build their business through one Data driven Platform to transform their search, observability & Security needs. In ever-changing world of data, it’s important for our customer to accelerate time to insight with AI driven data modelling & transformation. Get better ROI by using one platform for 4 different digital transformation technologies with a pay per use consumption model.

  • Build search-powered applications: We specialize in developing applications that leverage the power of search technology. Our solutions enable efficient and intuitive search experiences, enhancing the user experience and unlocking the full potential of your data.
  • Provide real-time operational intelligence: Regardless of the data type, we deliver real-time operational intelligence for your mission-critical business applications. Our solutions offer timely and accurate insights, empowering you to make informed decisions and drive business success.
  • Utilize native connectors and connector clients: We leverage native connectors for databases and connector clients, ensuring seamless integration with your existing systems. This approach enables efficient data retrieval and indexing, resulting in improved search performance and accuracy.
  • Access search data through shareable dashboards: With our solutions, you can access all your search data through interactive and shareable dashboards. This enables easy collaboration, data visualization, and quick access to actionable insights, promoting informed decision-making across your organization.

So how can we help…

  • Ingestion: Migrate your data into the Elastic ecosystem by creating an index and utilizing various ingestion methods such as WebCrawler, API, and Connector-based ingestion. This allows for seamless data transfer and integration within the Elastic stack.
  • Search Applications: Build search-powered applications that harness the full capabilities of Elasticsearch and its Query DSL. These applications provide users with a simplified and intuitive search experience while leveraging the powerful search functionalities offered by Elasticsearch.
  • Ingest Pipelines: Enhance enterprise search by utilizing ingest pipelines. These pipelines enable the extraction of text, formatting, and proper sanitization of data, ensuring that information is processed and indexed efficiently for effective search and retrieval.
  • Behavioural Analytics: Utilize behavioural analytics to analyse users’ searching and clicking behaviour. By monitoring and analysing user interactions, organizations can gain insights into user preferences, identify gaps or issues, and optimize search experiences to enhance user satisfaction and engagement.
By leveraging these capabilities within the Elastic ecosystem, organizations can streamline data ingestion, build powerful search applications, optimize data processing through ingest pipelines, and gain valuable insights from user behaviour analysis to continually improve their search experiences.

  • Unified observability platform: Monitor and gain insights across your Data Center and Public Clouds using a single observability platform. This allows you to effectively manage and analyze data from multiple sources in a centralized location, simplifying operations and enhancing visibility.
  • Real-time analysis for application optimization: Ingest all your telemetry data and analyze it in real time to optimize your applications. By leveraging real-time analysis, you can identify performance bottlenecks, detect anomalies, and make proactive optimizations for enhanced application performance and user experience.
  • AIOps with anomaly detection: Harness the power of AIOps with built-in machine learning for anomaly detection across applications and infrastructure. This automated approach correlates data and identifies anomalies, enabling faster root cause analysis (RCA) and proactive issue resolution, leading to improved system reliability and reduced downtime.
  • Actionable insights for serverless, microservices, and cloud-native environments: Gain actionable insights into serverless, microservices, and cloud-native environments. Our solutions provide in-depth visibility into these dynamic environments, helping you optimize user experiences, streamline operations, and maximize the benefits of modern application architectures.
By leveraging our observability platform, real-time analysis capabilities, AIOps with anomaly detection, and actionable insights, you can effectively monitor, analyze, and optimize your applications and infrastructure, leading to improved performance, reliability, and user satisfaction.

So how can we help…

  • Effectively monitor and gain insights on hybrid and cloud-native environments through the aggregation of observability data in a comprehensive solution.
  • The solution covers the following areas:
  • Log Monitoring: Collect, analyze, and visualize log data from various sources to gain visibility into system behavior and identify issues.
  • Application Performance Monitoring: Monitor and analyze application performance metrics, traces, and transactions to optimize performance and troubleshoot bottlenecks.
  • Infrastructure Monitoring: Monitor the health, performance, and availability of infrastructure components, such as servers, databases, and networks.
  • Real User Monitoring: Capture and analyze user interactions with applications to understand user experience, identify performance issues, and optimize application design.
  • Synthetic Monitoring: Simulate user interactions and monitor application functionality from various locations to proactively identify performance issues and ensure availability.
By aggregating observability data in a single solution, organizations can effectively monitor and gain insights across these key areas, enabling them to optimize performance, detect issues promptly, and ensure a seamless user experience in hybrid and cloud-native environments.

  • Unified capabilities for SecOps modernization: Modernize your security operations (SecOps) with the unified capabilities of SIEM, endpoint security, and cloud security. Our solutions bring together these essential components to provide comprehensive security coverage and streamlined operations.
  • Threat detection and response across environments: Detect and respond to threats across On-Premise, Hybrid, and Cloud environments. Our solutions enable real-time monitoring, threat intelligence integration, and rapid incident response to ensure the security of your entire IT ecosystem.
  • Advanced SecOps for thwarting complex threats: Thwart complex attacks, block malware, and ransomware with advanced SecOps capabilities. Our solutions leverage cutting-edge technologies and techniques to proactively identify and neutralize threats before they can cause harm.
  • Predictive insights with correlation: Go beyond traditional Security Operations Centres (SOCs) and predict unfolding attacks with correlation. Our solutions use advanced analytics and machine learning to detect patterns and anomalies, allowing you to anticipate and mitigate threats effectively.
  • Proactive response with guidance and automation: Proactively respond to security incidents rapidly with actionable guidance and automation. Our solutions provide real-time alerts, playbooks, and automated response actions, empowering your team to swiftly and effectively respond to security events.
With our unified SecOps capabilities, threat detection and response across environments, advanced threat thwarting, predictive insights, and proactive response mechanisms, your organization can strengthen its security posture, stay ahead of emerging threats, and effectively protect critical assets and data.

So how can we help…

  • Manage and Mitigate Cyber Risk: Utilize a faster search and AI-based open framework to effectively manage and mitigate cyber risk. This framework combines advanced search capabilities with artificial intelligence to provide quick insights and enable proactive risk management.
  • Data Footprint Management: Address the challenges of ever-increasing data footprints by analysing large archived and real-time security event logs. By operating at scale, organizations can efficiently process and analyse vast amounts of data to identify potential threats and take appropriate actions.
  • Unified Agent for Enhanced Security: Enhance host visibility and security by leveraging a single unified agent. This agent deepens the understanding of host activities, allowing for effective blocking of ransomware and malware, streamlined inspection processes, and the ability to invoke remote response actions.
  • Anomaly Detection and Threat Hunting: Uncover unknown threats using anomaly detection powered by prebuilt machine learning (ML) jobs. By leveraging ML algorithms, organizations can detect abnormal patterns and behaviours that may indicate potential security threats. This empowers threat hunters with evidence-based hypotheses, enabling them to investigate and respond to threats more effectively.
By implementing these capabilities, organizations can effectively manage cyber risk, handle large data footprints, enhance security at the host level, and leverage anomaly detection and threat hunting to stay ahead of potential threats.

  • Custom ingests pipelines for diverse data sources: Ingest data from various sources, regardless of different formats, using custom ingest pipelines. These pipelines ensure proper data quality rules are applied during ingestion, ensuring high-quality data is available for analysis.
  • Data enrichment with profiling and cleansing: Enrich your data by employing appropriate data profiling and cleansing techniques, adhering to industry-standard data quality protocols. This process enhances the accuracy and completeness of your data, empowering you to make informed decisions based on reliable information.
  • Data integrity and governance: Establish data integrity by defining different types of integrity and assessing risks to data integrity. Leverage an engine that scales the use and distribution of trusted data pipelines, supported by robust Data Governance practices. This ensures the reliability, consistency, and security of your data, unlocking its true business value.
  • Secure data analytics platform with customizable visualization: Visualize your data through a secure data analytics platform that offers customizable dashboards. This platform provides a user-friendly interface to explore and analyze data, facilitating the seamless transition from insights to actionable steps. By enabling interactive visualization, it empowers users to derive meaningful insights and make informed decisions.
By leveraging custom ingest pipelines, data enrichment techniques, data integrity and governance practices, and a secure data analytics platform, you can efficiently manage and derive value from your data. These capabilities enable you to harness the power of reliable data, make data-driven decisions, and drive business success.

So how can we help…

  • Ingestion and Analysis: Ingest and analyse large and complex datasets to uncover hidden value. Utilize scalable methods and industry experience to efficiently process and analyse data, extracting valuable insights and patterns.
  • Cloud Technology: Leverage cloud technology to build prototypes, products, production data pipelines, and machine learning APIs. By harnessing the power of the cloud, organizations can benefit from scalability, flexibility, and cost-effectiveness in developing and deploying data-driven solutions.
  • Data Models and Analytics: Build data models using data mining and machine learning techniques. Develop an analytics strategy and roadmap to implement these models effectively, enabling organizations to derive meaningful insights from their data and make data-driven decisions.
  • Data Visualization: Visualize data and create stunning visuals to convey complex insights to a wide audience. By presenting data in visually appealing and easy-to-understand formats, organizations can effectively communicate key findings and facilitate better understanding and decision-making.
By adopting these practices, organizations can effectively ingest and analyse large datasets, leverage cloud technology for data-driven solutions, build robust data models, and convey complex insights through engaging visualizations, ultimately unlocking the hidden value within their data.