Companies are increasingly running applications across multiple cloud environments for their needs. The reasons driving this vary - from flexibility, to access to best of breed solutions across providers, to downstream end customer choices that may necessitate the use of a specific provider for a specific client need. But across these underlying reasons, there is a growing need to easily deploy and operate across multiple cloud providers.
As the global economy slows down, organizations continue to migrate to the cloud to deliver more reliable services and applications. Running them efficiently and cost-effectively has never been more important. And the need for observability and to do more with less is a high priority for technology leaders.
Accelerate security investigations with machine learning and interactive root cause analysis in Elastic
Comprehensive security requires multiple layers of threat protection. Sophisticated threats exploit idiosyncrasies in your environment. Unsupervised machine learning identifies patterns of normal activity from your data, and therefore can catch attacks that standard approaches to threat hunting, such as pre-defined rules, are likely to miss.
The highest priority for any organization operating in the cloud is data protection. But security is not just the responsibility of cloud providers alone. Organizations need to understand the shared responsibility model, and their role in securing their valuable IP, to avoid compliance chaos.
Improving visibility into modern telco networks: A consolidated look on 3G/4G to 5G, NWDAF and Radio Analytics
Telco providers are at a crossroads. As 5G becomes the new standard for high-performance, low-latency connectivity, the path to global coverage is still far away. Telcos need the ability to see across multiple network generations to ensure customers have reliable service in whichever region they are connecting from. Visibility is thus becoming the ultimate challenge: where is the single pane of glass to spot network issues and action resolution?
From distributed multi-cloud environments to microservices and container orchestration, IT environments are rapidly producing an explosion of observability data at petabyte scale. Faster development lifecycles and the growing complexity of cloud-native workloads continue to present challenges leading to poor software reliability, customer frustration, and missed KPIs.
How the Elastic Stack helped a large public sector client reduce outages from 4 per day to 1 every few months, and in the process deploy a scalable automation platform. During this session we will talk about how a combination of Ansible, Azure DevOps, and the Elastic Stack was used to automatically collect and visualize hundreds of network physical defects and misconfigurations, and how the same Elastic Stack was used to build an automation platform telemetry harness to securely scale out.
Logging costs are growing exponentially. Given the staggering volume of log data generated by modern cloud-native and hybrid environments, coupled with painfully slow access to historical data and fragmented data silos, observability teams are finding their existing solutions increasingly unfit for the task of finding and fixing issues.
Dive into a unique level of access in this session with Bluestone's Head of Technology, Jason Nack. Discover Dark Web relevancy for security, defense, and intelligence organizations and the fundamentals of leveraging open source information to support investigations and analysis.
High Performance Computing (HPC) systems generate massive amounts of data and logs. In addition, the retention requirements are only increasing to ensure data remains available for incident response, audits, and other business needs. Ingesting and making sense of all the data takes a correspondingly large amount of computing power and storage. With El Capitan, a 2 Exaflop computer arriving and being deployed at LLNL in 2023, we’ll have even larger processing needs in the future. Therefore over the past year, Livermore Computing at LLNL has been migrating our current logging infrastructure to Elasticsearch and Kibana in an effort to handle the increasing amount of data even faster than before. This talk will focus on the changes we’ve made, why we decided to go with Elastic, and address some of the bumps we’ve hit along the way.
Learn how we do the Barracuda XDR “Magic” with the Elastic ecosystem. Here we will walk you through the journey of the data from where it starts to how we alert our customers. During that journey we will talk about ingestion, scale, parsing, security, detections, enrichment, and various integrations. Barracuda is a Cyber Security focused company; we will be sharing our journey about our migration to Elastic SIEM and advancing our capabilities into Machine Learning and a lot more built within Elastic stack. Hear from our VP of Engineering and Head of Offensive Security on how we scale our data, investigate our security incidents using Elastic!
As digitization, tools, and the attack surface increase — all against the backdrop of a global shortage of cyber talent — the need to reduce risk in an organization has never been more evident. In the year ahead, bringing security operations up to modern standards is one way organizations can help reduce risk and bolster their security posture. Modern security operations calls for a platform that provides actionable analytics, speed, scalability, and cloud-native by design, amongst other characteristics. Join the conversation with 451 Research, part of S&P Global Market Intelligence, and Elastic to discuss how the trend of modernizing security operations will play out in 2023, including:
Critical business decisions must be made quickly and accurately for companies to stay ahead. Cloud analytics, combined with the power of search, provides AI-driven actionable insights to help organizations remain resilient, navigate market disruption, and adjust to customer trends.
Learn how our team partnered with a wealth management customer to deliver contextual search for a dataset of 10M records in only 6 months. We’ll share how we picked Elastic Enterprise Search, paired out-of-the box capabilities with customization to meet business requirements, and rolled it out to their client base — all on a tight deadline.
While many Cybersecurity practices exist to respond quickly to intrusions, contain and eliminate threats, and keep businesses up and running, the increasingly hostile threat landscape begs for more preventative measures. That is, detecting and responding to a potential threat before a system can be compromised.