September 2022 Summaries

Cybersecurity has evolved into a strategic business initiative that requires swift action and integration of the latest threat research to safeguard organizations effectively. The digital transformation, accelerated by the pandemic, and the emergence of new technologies like AI, IoT, multi-cloud, and 5G have heightened vulnerabilities, while cyber adversaries have become more sophisticated. Advanced organizations that optimize their cybersecurity research function tend to manage security risks better by keeping research in-house, using appropriate tools, and employing comprehensive monitoring to detect anomalies. Understanding the broader context of threats through threat intelligence further aids in making informed decisions. As regulations become increasingly intricate, it is crucial for organizations to embed cybersecurity research into their strategies to protect against evolving risks and safeguard sensitive data.

Elasticians Jordyn Short, Dave Sanchez, and Connie Crites developed a project called "A Quick RSS Cybersecurity News Feed" using Elastic Stack tools like Logstash, Elasticsearch, and Kibana to consolidate, visualize, and search cybersecurity content efficiently. By leveraging RSS feeds and the Logstash RSS input plugin, they designed a system to import and aggregate cybersecurity news from multiple sources, reducing the time spent manually visiting sites. The project employs Elasticsearch for real-time search and analytics, utilizing component and index templates to manage data types and fields effectively. Kibana enhances the project's analytical capabilities, allowing users to create dashboards and visualizations to monitor trends in cybersecurity threats. The initiative aims to aid the cybersecurity and OSINT communities by providing a streamlined, stealthy approach to accessing and analyzing cybersecurity information.

Aravind Putrevu's blog post outlines the process of integrating Auth0, an identity service provider, with Elastic Cloud to enable Single Sign-On (SSO) for Kibana using the SAML protocol. The integration allows users to log into Kibana with their Gmail, GitHub, or Microsoft accounts without additional credentials. The process involves setting up an Auth0 application with SAML add-on, configuring necessary URLs and metadata in Elastic Cloud and Kibana, and enabling social login connections. While the blog provides a detailed step-by-step guide for this configuration, it also suggests consulting additional resources on the SAML protocol and other security protocols like OpenID Connect and Kerberos for further exploration.

Cloud adoption in regulated sectors like finance, insurance, manufacturing, and public services can be accelerated safely and effectively by learning from industries such as retail and CPG, which have benefited from speedy cloud integration. While initially many organizations only moved a fraction of their applications to the cloud, broader adoption, particularly through Platform as a Service (PaaS) models, has shown increased returns. Elastic data practices inherent to cloud systems address the growing demands of data storage, offering immediate, flexible deployment and scalability. Public cloud options provide enhanced security and compliance features, including native encryption, thousands of security controls, and automatic updates, which are crucial for adhering to regulations like GDPR. Moreover, multi-cloud architectures offer the flexibility to manage data globally, breaking the traditional belief that local servers are inherently safer. Transitioning to the cloud can yield significant cost savings and productivity gains despite initial expenses, as the dynamic and software-defined environments streamline operations and compliance management. However, ensuring data security remains an organizational responsibility, necessitating comprehensive training and careful management to avoid breaches often caused by misconfigurations and human error.

In today's complex IT landscape, CIOs are exploring the implementation of unified platforms powered by search technology to streamline data management and enhance both observability and cybersecurity. By consolidating log data from distributed systems into a singular platform, IT teams can gain real-time insights that help in monitoring system health, diagnosing issues, and responding to anomalies. Organizations like Jaguar Land Rover and WePay have adopted these platforms to manage sophisticated environments, benefiting from features such as anomaly detection and improved infrastructure performance. The integration of telemetry, metrics, and traces within these platforms allows for comprehensive monitoring, enabling faster and more informed decision-making. Additionally, these platforms support advanced cybersecurity measures like next-generation SIEM and EDR/XDR, utilizing AI/ML to detect subtle anomalies and protect against intrusions. This holistic approach helps IT teams manage increasing complexities, reduce downtime, and enhance security across diverse network environments.

According to a survey conducted by Forrester Consulting and commissioned by Elastic, 84% of data leaders believe that search-powered technology is crucial for successful digital transformation initiatives. This technology aids in improving data quality, accessibility, and usability, which are essential for digital transformation. The survey of over 800 IT and cybersecurity executives highlights three main strategies: enhancing data storage to address issues like poor data quality and high costs, making data easier to find, particularly in multi-cloud environments, and leveraging data visualization to extract meaningful insights for decision-making. As organizations aim to better manage the growing volume of data, they plan to invest in search-powered solutions to improve data management, visualization, and automation processes, ultimately facilitating smoother digital transformation efforts.

Elastic Observability offers a comprehensive solution for retailers preparing for the holiday rush, particularly during Cyber Weekend, by consolidating data from various systems to provide real-time insights into infrastructure and application performance. It enables tracking of system health via Uptime metrics, Application Performance Monitoring (APM), and Real User Monitoring (RUM), as well as using machine learning to detect anomalies. This tool helps retailers gauge end-user experiences and performance bottlenecks while integrating business metrics like sales and conversion rates into a unified dashboard for executive review. Elastic Observability also supports alerting and monitoring by consolidating log data and sending alerts to multiple platforms, ensuring timely detection of issues. With Elastic's Consulting and Advisory Services, retailers can effectively prepare for and manage the increased traffic and complexities of the holiday season.

In the evolving landscape of online retail, achieving success in 2023 requires a focus on enhancing the customer experience through a top-tier ecommerce search engine. Despite the anticipated growth in ecommerce sales, they remain below 2020 levels, driven by inflation concerns and changing consumer expectations. A significant challenge is ensuring that customers can easily find desired products, as ineffective search results lead to customer abandonment. A seamless, intuitive search experience not only boosts sales but also strengthens customer loyalty by facilitating unplanned purchases through tailored suggestions. To build a resilient ecommerce strategy, retailers should prioritize flexibility and customization, centering search as the main component of the customer journey. This involves adopting robust tools that can grow with the business, leveraging proprietary purchase data for competitive advantage, and utilizing machine learning and real-time analytics for personalized product offerings. By doing so, retailers can effectively respond to market trends and enhance customer satisfaction.

Version 8.4.2 of the Elastic Stack has been released, and users are encouraged to upgrade to this latest version for improved functionality and fixed issues. This version is recommended over previous patch versions within the 8.4.x series. For a comprehensive overview of the changes and resolved issues in this release, users can refer to the detailed release notes, which cover updates across various components such as Elasticsearch, Kibana, Beats, Logstash, Elastic Enterprise Search, Elastic Observability, APM, and Elastic Security.

Alexis Roberson's journey to becoming a Developer Advocate at Elastic illustrates a dynamic career transition driven by an initial challenge from a college professor to explore computer science. Initially planning to major in English, Alexis shifted her path, graduating with a degree in computer science and gaining experience through internships and roles such as a DevOps engineer and a teaching assistant at GirlsWhoCode. Her quest for a more people-oriented role led her to a product management accelerator course, where a friend suggested the relatively uncharted territory of developer advocacy. Embracing the blend of programming and communication, Alexis found that developer advocacy allows her to leverage her technical skills while engaging with the community to foster awareness and understanding of Elastic's products. She emphasizes the importance of being self-driven, setting personal goals, building a technical foundation, and effectively communicating complex ideas. At Elastic, she participates in community-building efforts through content creation, events, and user engagement, highlighting the versatile and goal-oriented nature of the role. Her story serves as an inspiration for those interested in the field, showcasing how developer advocacy can bridge technical expertise with interpersonal skills and teaching.

The article by Sagar Patel explores the functionality and implementation of pinned queries in Elasticsearch, a feature introduced in version 7.4 that allows users to prioritize specific documents in search results. Pinned queries are particularly useful for promoting content that may not have the highest relevancy scores but is strategically important, such as frequently clicked articles in a knowledge center, newly launched products, or items highlighted for seasonal marketing. The article provides a practical example using a sample product data set, illustrating how pinned queries can elevate certain items, like the latest iPhone models, in search results. It also discusses the limitations of pinned queries, such as the inability to override sorting criteria like price, and highlights the expertise of the author, Sagar Patel, in the field of Elasticsearch and search technologies.

Observability is transforming IT organizations by enabling a proactive approach to managing system performance and user experience, as evidenced by companies like Wells Fargo and Jaguar Land Rover. By implementing observability and Application Performance Monitoring (APM) solutions, these organizations can measure critical performance indicators such as application availability and latency, thereby improving customer satisfaction. Observability platforms facilitate real-time data analysis and automated alert generation, allowing IT teams to preemptively address potential issues before they affect end users. This shift from reactive to proactive operations is supported by the ability to mine vast streams of performance data, which is crucial for achieving strategic goals like faster mean-time-to-resolution and maintaining high system availability. The integration of observability solutions not only enhances operational efficiency but also fosters collaboration across departments, encouraging widespread adoption and self-service capabilities.

Artificial Intelligence for IT Operations (AIOps) is a transformative approach leveraging AI and machine learning to enhance IT operations by managing the increasing complexity, volume, and pace of change in modern IT environments. AIOps integrates analytics and automation to help IT teams efficiently process vast amounts of observability data, which includes metrics, logs, traces, and events, enabling faster identification and resolution of issues. This technology is increasingly vital for managing hybrid and multi-cloud environments, as it helps reduce signal noise, improves root cause analysis, and enables proactive remediation of IT issues, thus supporting business objectives such as reduced downtime, improved service levels, and better customer experiences. Despite challenges like trust barriers and buzzword fatigue, a gradual and strategic adoption of AIOps can significantly benefit IT operations by automating routine tasks and allowing teams to focus on higher-value initiatives. As data volumes continue to grow, AIOps will play a crucial role in data collection, analysis, and automated problem-solving, evolving to meet future observability needs and enhancing the capabilities of DevOps teams in cloud-native environments.

Search-powered technology is increasingly vital in reducing cybersecurity risks by enabling the search of data across multiple sources, including websites, applications, databases, and hybrid cloud environments. According to a survey of 832 data leaders conducted by Forrester Consulting and commissioned by Elastic, cybersecurity ranks as the top business priority for organizations utilizing these technologies. The tools facilitate real-time detection and response, reduce dwell time to mitigate damage from attacks, and enhance visibility for security operations. A significant portion of respondents indicated that search-powered technology aids in mitigating data security issues and strengthening overall security posture, as it allows analysts to quickly access real-time and historical data. Additionally, the integration of point solutions into a single search platform is seen as a way to reduce costs and increase operational speed, thereby empowering cybersecurity teams to better manage vast amounts of disparate data. Overall, search-powered technologies are recognized for their ability to improve the speed and productivity of businesses by enhancing the ability to find and share information across diverse data environments.

Elastic has streamlined the process of setting up its platform on Amazon Web Services (AWS) by introducing a simplified onboarding experience available through the AWS Marketplace. Users can now subscribe to Elastic Cloud with minimal clicks, deploy the Elastic Stack in supported AWS regions, and utilize the Elastic Agent to facilitate data collection from AWS environments via AWS CloudFormation. This new user-friendly interface reduces the complexity of navigating multiple applications and enhances the seamless integration of Elastic's features. Additionally, Elastic offers a 7-day free trial for new users who subscribe through the AWS Marketplace, and any charges incurred will appear on the user's AWS bill. The platform supports various AWS regions worldwide, providing flexibility for users to deploy the latest version of the Elastic Stack in their preferred region. The integration includes pre-built dashboards for easy data visualization, and features such as these are subject to Elastic's discretion regarding their release and availability.

The Indiana University OmniSOC Cybersecurity Summer Internship Program, launched in 2019, offers students a comprehensive experience of working as security analysts through a combination of in-person and remote training. Sponsored by Elastic, the six-week paid program includes hands-on training sessions and workshops, enabling students to understand the operations of a security operations center. Participants spend three weeks at the OmniSOC in Bloomington, Indiana, where they engage in various engineering sessions and a field trip, before completing their final projects remotely. Led by Dr. Thomas Edelberg, the program not only equips students with essential cybersecurity skills but also fosters a supportive community and professional network. Elastic, committed to shaping future cybersecurity leaders, provides access to their products and training on Elastic Security, ensuring students gain practical skills and knowledge.

Elastic Security capabilities in the cloud offer significant advantages for organizations, primarily due to their scalability, openness, ease of maintenance, and robust integration options. As cloud-based Security Information and Event Management (SIEM) becomes increasingly prevalent, organizations are projected to increase their cloud cybersecurity spending significantly. Elastic Security for Cloud allows seamless scaling and offers advanced tuning and autoscale capabilities to manage varying workloads efficiently. Emphasizing openness, Elastic provides detailed insights into its security operations and threat prevention methods, reinforcing its commitment to open security. The platform simplifies maintenance by automating OS updates and security patches, thereby reducing the burden on users. Additionally, Elastic Security integrates effortlessly with major cloud platforms like Google Cloud Platform, Microsoft Azure, and AWS, enhancing its capability to analyze critical security data. The cloud-native approach promoted by Elastic facilitates a streamlined and efficient security architecture, which is increasingly favored by Chief Information Security Officers (CISOs) for securing digital business operations. New users can explore these capabilities through a free 14-day trial and various training resources provided by Elastic.

In the blog post, Philipp Kahr illustrates how to use Elasticsearch 8.0's custom machine learning capabilities, specifically BERT-based models from Hugging Face, to perform natural language processing (NLP) on text-based datasets. By utilizing CNN articles as a dataset, the process involves extracting location information and plotting it on a map through Kibana's file upload feature, with the help of an Eland client to import machine learning models. The post guides readers through data gathering, model importation, and data adaptation using ingest pipelines and enrich policies to categorize entities like persons and locations. The final step is to visualize the processed data on a dashboard with maps, allowing users to observe the frequency of mentions at different geographic levels, enhanced by a time slider feature to track changes in news coverage over time.

Employee Resource Groups (ERGs) at Elastic, known as Elastician Resource Groups, have been integral to the company's culture since 2016, evolving from informal Slack channels into structured entities by 2021. These ERGs are designed to foster diversity, equity, and inclusion (DEI) by providing structured communities for employees with shared identities, interests, or backgrounds, enhancing a sense of belonging and facilitating networking, learning, and advocacy. Elastic, a globally distributed company, emphasizes inclusivity through its Source Code, a set of shared values that celebrate differences and address cultural challenges constructively. The company hosts seven formal ERGs: The Accessibles, Blasticians, ElastAsians, Elasticians Unidos, Rainbow Stack, Mil-Asticians, and Women of Elastic, each focusing on empowering their respective communities, promoting DEI initiatives, and contributing to the company's inclusive workplace culture.

Tiffany Witwer, the Head of Customer Success at Elastic, transitioned from a career in civil engineering to customer success, driven by her interest in solving problems and building relationships. With a background in biological engineering and civil engineering, she initially worked on stormwater runoff projects and later moved into a pre-sales systems engineer role at a business analytics and software company. Over time, her passion for working with clients led her to focus on customer success, where she now ensures that customers derive the most value from Elastic's search-powered solutions. Tiffany emphasizes the importance of clear communication, empathy, and understanding customer perspectives to achieve successful outcomes. She believes in defining success collaboratively and fostering genuine connections, which has been central to her professional journey.

Elastic Observability's APM correlations feature is designed to automatically identify attributes within APM datasets that correlate with high-latency or erroneous transactions, significantly aiding DevOps engineers and SREs in root cause analysis of complex application performance issues. The feature surfaces attributes such as service versions, geo locations, and cloud-specific tags, which are disproportionately represented in problematic transactions, thereby facilitating quicker issue detection and resolution. By visualizing the latency distribution and narrowing down on specific attributes, engineers can isolate and focus on sub-optimal transactions, reducing the mean time to detect and resolve issues. The APM correlations capability is particularly useful for addressing issues affecting specific segments of applications, such as hardware performance problems, cloud deployment complexities, and issues with third-party service providers. With enriched metadata and seamless integration with technologies like OpenTelemetry, Elastic APM provides comprehensive insights to streamline troubleshooting efforts and improve service performance.

Elastic's Threat Detection and Response team, part of the organization's Infosec team, focuses on optimizing security detections to prevent attacks on Elastic systems, including the expansive Elastic Cloud environment. A significant challenge for security operations centers (SOCs) is managing the high volume of alerts, which can often include numerous false positives due to legitimate software activities triggering alerts. To combat this, Elastic uses cardinality threshold rules to create high-severity alerts when multiple low-severity alerts occur for the same entity, thereby reducing noise and alert fatigue among analysts. This approach prioritizes alerts that are more likely to signify genuine threats, allowing analysts to focus on the most critical incidents. Elastic's prebuilt detection rules help identify suspicious activities, such as attempts to intercept encrypted network traffic, by setting low-severity rules and escalating them when certain conditions are met, such as multiple alerts on a single host. By implementing threshold rules, Elastic effectively reduces the number of alerts requiring analyst attention while maintaining visibility into potential threats.

The insurance industry is undergoing significant transformation driven by advancements in technology, resulting in a greater reliance on real-time data and automation in processes such as underwriting, pricing, and claims. As machine learning models increasingly streamline these functions, insurers can offer more personalized and preventative services, creating a more customer-centric approach. This technological shift presents both opportunities and challenges, particularly in data security, as insurance companies handle increasing volumes of sensitive information. Chief Information Security Officers (CISOs) are becoming pivotal in guiding this transformation, setting best practices for security and data management, and playing key roles in third-party governance and product development. Their involvement ensures that digital innovations are implemented securely, maintaining compliance with regulations like GDPR and HIPAA. In collaboration with other technology leaders, CISOs are crucial in managing vendor relationships, defining risk assessments, and ensuring the secure offboarding of vendors, thereby fortifying the industry's resilience against cyber threats.

Elastic announced a pricing change for Elastic Cloud, effective November 1, 2022, to establish uniformity between direct and marketplace purchases, allowing customers to pay the same price regardless of where they buy. This adjustment is possible due to reduced marketplace fees, achieved through a strong partnership with cloud providers. The change aims to benefit customers who use pre-committed cloud marketplace spend, streamlining their purchasing process and onboarding. While some customers might experience a price decrease, others could see up to a 4% increase, with many experiencing minimal or no change. Elastic has informed affected customers, with changes reflected in the November billing statement. To assist customers in optimizing their deployment and reducing costs, Elastic introduced features like no-downtime migration and Searchable Snapshots for cost-effective storage. Customers are encouraged to consult Elastic's blog or reach out to their account teams for further information and assistance.