April 2022 Summaries

Elastic Security has focused on developing detection mechanisms to counter adversaries exploiting environments, enhancing its platform by introducing new file and registry events, such as T1555.003 and T1003.002, to provide defenders with better visibility on sensitive file and registry object access. Security researcher Samir Bousseaden has detailed tactics for hunting utilizing these new events by leveraging Endpoint security integration and using KQL or EQL queries. His technical post also highlights built-in malicious behavior protection rules that automatically respond to suspicious access, improving detection effectiveness. Elastic Security offers resources like Quick Start guides and free training courses for new users and provides options for a free 14-day trial of Elastic Cloud or downloading a self-managed version of Elastic Stack.

Upgrading to Elasticsearch 7.15 led to a significant reduction in inter-node traffic for Elastic's internal observability clusters, decreasing from 464TB to 204.5TB per day, and saving the company $100,000 monthly or $1.2 million annually in data transfer and storage costs. The improvements were achieved through the implementation of network data compression using the lz4 algorithm and new data relocation and recovery methods that reduce cross-zone data transfer costs. Elastic's observability clusters, which span 207 production clusters across four cloud providers, benefit from these innovations by maintaining efficient data management and monitoring capabilities while minimizing expenses. The upgrade not only enhances Elastic's internal operations but also presents potential savings for its customers by lowering the total cost of ownership.

Elastic Cloud has expanded its availability on Microsoft Azure to four new regions: Brazil South, Canada Central, South Africa North, and Central India. This development allows users to enhance search experiences, ensure the smooth operation of critical applications, and protect against cyber threats by leveraging Elastic’s solutions in Enterprise Search, Observability, and Security. The service reduces operational overhead by managing maintenance, upgrades, and security patches while offering flexibility for deployment across multiple cloud providers, including Amazon Web Services and Google Cloud. Users can choose between a managed service or self-management with automation tools, and Microsoft Azure customers can subscribe via the Azure Marketplace with integrated billing. Elastic Cloud’s features are designed to lower total ownership costs and simplify deployment through a user-friendly console, offering a free 14-day trial for new users.

Companies are increasingly recognizing the importance of advanced search capabilities as a critical component for innovation and competition, with Elastic 8.0 leading the way by integrating extensive machine learning capabilities into its Search Platform. This version enhances natural language processing (NLP) functionalities such as sentiment analysis, entity recognition, and text classification, enabling more efficient and intelligent search solutions without requiring external integrations. By allowing the incorporation of NLP models from community repositories and machine learning models from PyTorch, Elastic 8.0 simplifies the process of building sophisticated search experiences. Additionally, the introduction of the Elasticsearch Relevance Engine (ESRE) provides developers with tools to build AI-powered search applications, including Generative AI Search Engines. The new features also include approximate nearest neighbor (ANN) search capabilities, developed alongside Lucene, which enhance search performance and accuracy by automatically grouping related words, thereby improving user experience as data scales. These advancements empower businesses to create more engaging and contextually aware search experiences across various platforms, further supported by the availability of a free trial on Elastic Cloud.

Version 7.17.3 of the Elastic Stack has been released, and users are encouraged to upgrade to this latest version due to a fix for a potential security vulnerability. The update is recommended over previous patch versions in the 7.17.x series. Detailed information about the issues addressed and the comprehensive list of changes for each product component, such as Elasticsearch, Kibana, Beats, Logstash, Elastic Enterprise Search, Elastic Observability, APM, and Elastic Security, can be found in the 7.17.3 release notes.

Elastic Stack 8.1.3, released on April 20, 2022, includes critical updates and fixes, addressing a potential security vulnerability and resolving several notable issues in Observability and Security solutions. The patch release rectifies a memory overflow bug in the APM Server when overloaded by requests, urging users running versions 8.0.0 to 8.1.2 to upgrade. It also resolves multiple UI performance issues in high-field mapping environments and fixes a bug related to binary verification failures during Elastic Agent upgrades in versions 8.1.1 and 8.1.2. The release includes additional minor enhancements and fixes across the stack, with detailed information available in the release notes.

Elastic has achieved TISAX certification, signifying its commitment to enhancing security in the automotive industry, particularly as connected vehicles and smart infrastructure become more prevalent. This certification aligns Elastic with major cloud service providers like Google Cloud, Microsoft Azure, and Amazon Web Services, providing flexibility for Elastic Cloud customers to choose cloud providers and regions based on TISAX compliance. The automotive sector faces increasing cybersecurity threats, exacerbated by the rise of wireless technologies and cloud-based services, necessitating robust security measures to protect massive amounts of data. Elastic's platform integrates security into its core, offering a seamless blend of SIEM and endpoint security to address these challenges, thus reinforcing its position as a secure partner for the automotive ecosystem. As cars evolve into complex data centers on wheels, Elastic's observability and security tools provide comprehensive visibility and protection against cyber threats, ensuring compliance with high security standards and fostering trust within the industry.

Two studies by Nucleus Research highlight the benefits of adopting Elastic Cloud for a global telecommunications provider and a multi-line insurance company, revealing increased tech stack maturity and scalability. Elastic Cloud's full-stack observability platform greatly enhanced IT productivity, enabling faster problem identification, reduced mean time to repair, and increased platform stability, which allowed teams to focus on higher-value tasks. The telecommunications provider reported improved customer experiences due to better platform availability, while the insurance company saw more efficient customer data retrieval, reducing call durations. Additionally, Elastic Cloud helped eliminate costly legacy hardware maintenance, leading to significant annual savings. Both companies experienced strong ROI, with one achieving 170% and the other 283%, alongside rapid payback periods of 7.2 months and 1.7 years, respectively, from using Elastic Cloud and Elastic Solutions over three years.

Deploying Elastic on AWS is simplified with the Elastic Cloud Quick Start, which automates the deployment process and enhances data ingestion, migration, and management in the AWS environment. The Quick Start provisions critical components such as an Elastic cluster on AWS, Amazon EC2, S3 buckets, and an IAM instance role, ensuring a resilient and secure setup across multiple availability zones. The deployment supports agentless data collection through Elastic Serverless Forwarder and integrates seamlessly with AWS services for streamlined data ingestion. Elastic Cloud on AWS offers significant benefits, including reduced operational overhead, enhanced search experiences, improved application performance, and robust security measures. It enables autoscaling, facilitates compliance, and offers automated backups to ensure data resilience. The blog also provides a guide for migrating on-prem Elastic workloads to AWS, leveraging AWS's ISV Workload Migration Program for support and resources. Users can start a free trial via the AWS Marketplace, enabling them to consolidate their cloud expenses effectively.

The Linux process and session model, rooted in the Unix process model from the 1970s and enhanced in the 1980s, provides a robust framework for managing server workloads and writing precise alerting rules. This model, integrated with platforms like Elastic, allows for capturing detailed information about process creation, privilege escalation, and execution patterns, enabling effective threat monitoring and compliance. By categorizing sessions into autonomous services, remote access services, and interactive or non-interactive access, users can craft targeted alerts, reducing false positives and alert fatigue. Unlike complex system call logs, the process model offers a stable yet comprehensive method to track system actions, maintaining compatibility across Linux versions without requiring program recompilation. This stability is crucial for understanding container environments and managing namespaces and cgroups. The init process, typically systemd in modern distributions, orchestrates service management by creating sessions and process groups, while child processes can follow diverse paths based on their parent's code, accommodating complex operations like those seen in web servers or interactive shells. Understanding this model is essential for managing Linux-based systems, particularly with the growing prevalence of containers and their unique requirements.

Alexander Reelsen's article provides a comprehensive guide on integrating Elastic App Search with a Spring Boot application, demonstrating how to set up a fully operational application that queries a website's crawled content. The process begins with spinning up a cluster through a GitHub repository and configuring the application by creating an API key in Elastic Cloud and modifying the application properties. Following this, the article details the indexing of data using a crawler and configuring test cases to ensure the application functions correctly. It explores various querying methods, including server-side rendering using Thymeleaf, dynamic updates with the htmx library, and client-side rendering with Alpine.js, each offering distinct approaches to search implementation. The guide also covers tracking user interactions by logging click events, providing insights into search efficacy. Reelsen emphasizes the versatility and ease of integration Elastic App Search offers, encouraging developers to explore the provided GitHub repository for hands-on experience.

Cloud service providers like AWS offer powerful solutions but come with complexities in monitoring and securing workloads. Elastic Security provides a comprehensive approach to protecting AWS-based workloads by enabling security teams to prevent, detect, and respond to threats with end-to-end visibility and monitoring capabilities. The Elastic Agent facilitates data collection from AWS environments, while integrations with services like Cloudtrail, WAF, and AWS Network Firewall help ensure comprehensive coverage. Additionally, Elastic Security supports cloud-native and cloud-hosted workloads, offering prebuilt detection rules aligned with the MITRE ATT&CK framework and the flexibility to create custom rules for specific needs. Endpoint security capabilities further enhance protection by providing in-depth visibility and analysis of activities on cloud instances, thus enabling high-fidelity detections across the environment. Elastic Security is available through a 7-day free trial on AWS Marketplace, offering a unified platform for observing and protecting cloud workloads.

Cybersecurity leaders are encouraged to adopt advanced technologies to enhance organizational resilience and growth in the face of increasingly sophisticated threats. Modern Security Information and Event Management (SIEM) systems, which leverage data analytics, enable real-time anomaly detection and are essential for maintaining a comprehensive overview of cyber activities. Extended Detection and Response (XDR) platforms extend traditional endpoint security by integrating data from various IT systems, allowing for more effective detection of complex, multi-channel attacks. Additionally, User and Entity Behavior Analytics (UEBA) software utilizes machine learning to detect insider threats by analyzing deviations from typical behavior patterns. These emerging tools emphasize the importance of treating cybersecurity as a data-centric challenge, offering a more unified and proactive approach to threat detection and management.

Miles & More, a prominent European travel loyalty program, migrated its application monitoring to Elastic Cloud on Microsoft Azure to enhance customer experience and safeguard its extensive member database from external threats. The decision followed an assessment of 12 solutions, with Elastic Cloud chosen for its integrated UI, support for existing technologies, and robust API capabilities. This migration enabled centralized log management, improving the efficiency of root cause analysis and system monitoring while swiftly addressing security threats like data leaks and credential stuffing attacks. By adopting Elastic Cloud, Miles & More streamlined data ingestion and scaling processes, ensuring the security and reliability of its services in a cloud environment.

Hack the Port, a cybersecurity event held in Ft. Lauderdale, Florida, highlighted the growing threats to ports, a crucial part of America's critical infrastructure, amid global tensions such as the Russia-Ukraine conflict. The conference underscored several key points: the low cost of entry for cyber attacks, the importance of data as a defense tool, and the necessity for robust cybersecurity measures regardless of connectivity. The event emphasized the vulnerabilities of legacy systems in maritime operations and the need for better technology transfer, such as military solutions, to protect these infrastructures. Cybersecurity compliance is increasingly crucial, especially given the economic significance of ports, which handle $5.4 trillion annually. Despite some progress in expanding the cybersecurity workforce, a 65% increase is still needed to meet demand, highlighting the importance of diverse talent recruitment and training. Elastic, a cybersecurity firm, showcased its solutions and support for these challenges, promoting the use of its Limitless XDR platform to enhance security measures across the sector.

The financial services industry is navigating complex digital transformation challenges, with a focus on driving change, unlocking data, and accelerating growth while maintaining regulatory compliance. In a webinar with ING and Google Cloud, experts emphasized the importance of trust, recommending that security and trust be integral from the outset of service development. They discussed managing information overload through metadata and data simplification tools and stressed the significance of effective log management, suggesting categorization and machine learning for enhanced utility. Compliance is seen not just as a hurdle but a catalyst for innovation, with some companies leveraging regulatory challenges to accelerate cloud adoption and product development. The partnership between Google Cloud and Elastic offers financial institutions powerful tools to analyze data from diverse sources, enhancing insights in data-intensive use cases like ESG and KYC.

Elastic has been recognized as a Strong Performer in The Forrester Wave™: Endpoint Detection and Response Providers, Q2 2022, highlighting its growth in capabilities and customer adoption. The company received top scores in several criteria, including product vision and user experience, for its Strategy and Current Offering categories. Elastic's integration of Security Information and Event Management (SIEM) and Endpoint Detection and Response (EDR) allows customers to efficiently address security concerns across diverse infrastructure environments, significantly reducing detection and remediation times. The company's robust online community is praised for its collaborative nature, enabling security teams to share expertise and insights. Elastic's roadmap includes expanding third-party ingestion capabilities and prioritizing innovation through regular R&D efforts. The company's dedication to enhancing security measures is further evidenced by its continuous research publications. Elastic's recognition by Forrester and its commitment to protecting data demonstrates its evolving role in the cybersecurity landscape.

Elastic has joined forces with Google Cloud and eight other data organizations to form the Data Cloud Alliance, a collaborative effort aimed at accelerating digital transformation by enhancing data accessibility and integration for businesses globally. This initiative is designed to help companies navigate the challenges of reaching new customers, developing products, and complying with regulations by providing easier data access, analytical capabilities, and support for cloud environments. The partnership involves creating common industry data models and platform integrations to improve data portability and simplify governance and compliance. Elastic, known for its search capabilities and observability solutions, sees this alliance as an opportunity to further its mission of making data more accessible and interpretable across platforms and environments.

Elastic and Amazon Web Services (AWS) have collaborated to enhance the integration of Elastic Cloud on AWS, simplifying data ingestion and enabling organizations to transform data into actionable insights while maintaining robust security. This collaboration provides seamless signup, fast deployment, and frictionless data capture, storage, and search capabilities across AWS services, supported by cloud-native features that optimize cost and performance. Elastic's solutions include advanced observability and security tools, allowing for real-time threat detection and extended data retention, thereby enhancing performance monitoring and threat response across hybrid cloud environments. The partnership offers validated frameworks and methodologies for cloud migration, ensuring a secure and efficient transition from on-premises to cloud-based solutions. Elastic has also been recognized in various AWS partner programs, supporting a broad range of applications and services, including Graviton-based processing, serverless computing, and public sector solutions.

Becoming a data-driven organization hinges more on overcoming cultural barriers than on technological challenges, according to a survey by NewVantage Partners. Key insights from an interview with Shelley Leibowitz, a former CIO and current board director, emphasize the agility and resilience that data-driven companies possess, enabling them to adapt swiftly to changing environments by making information readily accessible to those who can act on it. The transformation into a data-driven entity requires a cultural and organizational shift, focusing on aligning goals and incentives at all levels, particularly with middle management, which often faces the most disruption. It is vital to start this journey with a customer-centric focus and to measure progress through a concise set of critical metrics that reflect successful data utilization. The risks of not adopting a data-driven approach include falling behind in competitive markets, as customer expectations for seamless experiences continue to rise. Ultimately, success is measured by the ability to surprise and delight customers with insightful, actionable information that enhances the business's growth and sustainability.

The text provides a detailed guide on automating the migration of Elastic workloads from on-premises to Elastic on AWS, highlighting the benefits of leveraging cost, time, and scale efficiencies. It outlines three main migration paths—data re-ingestion, snapshot and restore, and reindexing from a cluster—each suited for different scenarios depending on data source and existing Elasticsearch versions. The guide focuses on using the snapshot and restore method with Terraform, an open-source infrastructure as code software, and emphasizes the importance of prerequisites such as ensuring version compatibility, verifying infrastructure capacity, and setting up necessary AWS resources and permissions. Additionally, it discusses creating and configuring snapshot repositories, provisioning AWS resources, and managing access keys through HashiCorp Vault for security. The text also highlights Elastic's certification as an AWS ISV Workload Migration Program partner, which offers resources, guidance, and potential financial assistance for migration, while encouraging users to take advantage of a 7-day free trial and Elastic Consulting services for complex migrations.

In the latest MITRE Engenuity ATT&CK Evaluation Round 4, Elastic showcased its security capabilities, focusing on ransomware and data destruction threats. This annual evaluation by MITRE Engenuity assesses security vendors using adversary emulation based on the MITRE ATT&CK framework, with this year highlighting ransomware and Linux system threats. Elastic utilized its Security 7.16 version for the evaluation, achieving 90% visibility in threat detection, an improvement from the previous year's 80%. New features such as ransomware protection, memory threat protection, and malicious behavior detection were highlighted, complementing existing capabilities like malware detection and machine learning. While Elastic did not participate in the prevention tests, it emphasized the ease of configuring its system to prevent emulated attacks. The evaluation provides an opportunity for Elastic to demonstrate its product's effectiveness in real-world scenarios, reinforcing its commitment to democratizing security for users.

Elastic Cloud offers developers a robust platform to enhance search experiences, ensure application reliability, and protect against cyber threats through easy deployment on preferred cloud services such as AWS, Google Cloud, and Microsoft Azure. It facilitates rapid development and testing by offering serverless integrations and over 200 partner collaborations, while its autoscaling feature aligns capacity with utilization. The built-in multi-zone architecture ensures service resilience, with automatic backups and cross-cluster search capabilities to maintain reliability even during disruptions. Security is prioritized through extensive cloud environment protection and compliance with industry standards. Elastic Cloud also provides expert support for maintenance and migration, offering a seamless transition for those moving from on-premises deployments. Users can begin with a free trial or engage directly through major cloud marketplaces to leverage the benefits of Elastic Cloud.