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By Ruben Groenewoud,
In the modern IT ecosystem, securing containerized applications in environments like Kubernetes is vital. Tools like Falco help address this need by providing tooling that can be integrated within Elastic Security. Falco is a cloud-native security tool that provides runtime security across hosts, containers, Kubernetes, and cloud environments.
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By Smriti ,
Elastic Security 8.16 is now available, advancing our mission to streamline security workflows with enhanced data accessibility and AI-driven analytics. Key updates include agentless onboarding for faster cloud security posture management (CSPM) and asset discovery; expanded integrations with Wiz, AWS Security Hub, and Falco for contextualized threat detection; custom knowledge sources for Elastic AI Assistant; and improved support for locally hosted large language models (LLMs).
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By Joe DeFever
By collecting, analyzing, and leveraging data from security events, security analytics empowers teams to proactively detect anomalies and pinpoint vulnerabilities to mitigate targeted attacks, insider threats, and advanced persistent threats (APTs).
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By Michael Smith
In today’s increasingly complex and evolving threat landscape, Security Operations Centers (SOCs) have become the nerve center for protecting critical national and local government assets. Building and maintaining an in-house SOC is often beyond the reach of many government agencies due to budget constraints, the need for skilled personnel, and the rapid growth of cyber threats.
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By Mandy Andress
Mitigating risk based on the threat landscape is a complicated yet essential part of being a CISO, which is why threat reports like the 2024 Elastic Global Threat Report are a huge help for me. In addition to providing an in-depth understanding of what’s happening, threat reports also offer a quick overview of what needs to be explained or communicated to the rest of the organization.
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By Santosh Krishnan
Yesterday, Elastic Security Labs released the 2024 Elastic Global Threat Report, a comprehensive look at more than 1 billion data points from Elastic’s unique telemetry. The report provides insights into the methods, techniques, and trends of threat actors from the perspective of defenders — giving crucial insights for security teams to prioritize and improve their security posture.
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By Devon Kerr,
Elastic Security Labs discovers that threat actors are taking advantage of readily available abused security tools and misconfigured environments. Elastic Security Labs has released the 2024 Elastic Global Threat Report, surfacing the most pressing threats, trends, and recommendations to help keep organizations safe for the upcoming year. Threat actors are finding success from the use of offensive security tools (OSTs), a misconfiguration of cloud environments, and a growing emphasis on Credential Access.
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By Jordyn Short,
In the world of security, every second counts. A shorter mean time to detect (MTTD) translates to less damage, increased customer trust, and a greater likelihood of securing cybersecurity support. An important factor in achieving this rapid response is the power of an intuitive and user-friendly interface.
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By Jonathan Simon,
Now that we’ve introduced Elastic Cloud encryption at rest and walked you through setting it up in AWS and Azure, it’s time to get you set up in Google Cloud. In this final blog of the series, we will explain how encryption at rest works with Google Cloud Key Management Service (KMS) and then show you how to apply a Google Cloud KMS key to an Elastic Cloud Hosted deployment for encrypting data and snapshots at rest.
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By Alex Chalkias
In an era where cyber threats are constantly evolving, protecting your identity and data from unauthorized access is more critical than ever. That's why we're excited to bring you the enhanced multifactor authentication (MFA) for Elastic Cloud. This feature significantly strengthens the security of your Elastic Cloud user and deployment data by aligning with industry best practices. You can go to Elastic Cloud and complete your MFA setup today.
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By Elastic
Level up your security game Democratize cybersecurity and enable users at every skill level to put security, privacy, and efficacy at the forefront of every decision.
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By Elastic
E-commerce giant THG has deployed Elastic Security to protect the business against fraud, denial of service, and data breaches. The business has reduced the time to respond, boosted security efficiency, and cut the cost of data storage.
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By Elastic
See how Elastic Verified MSP, AHEAD, deploys Elastic Security machine learning to decrease triage time, reduce false positives, and automate investigation and response.
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By Elastic
O9 Solutions leverages Elastic for both Observability and Security Operations Center (SOC) purposes. Initially employed for performance monitoring, Elastic's integration with O9's security stack has provided comprehensive visibility into potential threats and anomalies within their environment. This integration extends across various platforms such as Google, AWS, Active Directory, WEF, and HDR, enabling correlation and consolidated dashboard views for decision-making.
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By Elastic
Powered by the Elastic Search AI platform, Attack Discovery triages hundreds of alerts down to a few attacks that matter. Elastic’s AI-driven security analytics is built on the Search AI platform, which includes RAG powered by the industry's foremost search technology. The traditional SIEM will be replaced by an AI-driven security analytics solution for the modern SOC. Additional Resources.
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By Elastic
Elastic AI Assistant can provide real-time, personalized alert insights — empowering security teams to stay one step ahead in the ever-evolving threat landscape. With the power of large language models (LLMs), the AI Assistant can process multiple alerts simultaneously, offering an unprecedented level of insight and customization. You can interact with your data by asking complex questions and receiving context-aware responses tailored to your needs. Watch this demo from James Spiteri, Director of Product Management at Elastic to see what's new in the Elastic AI Assistant in Elastic Security 8.12.
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By Elastic
Join us for an insightful journey as we unpack the advantages of Generative AI, how Elasticians utilize it in their daily roles, and the future of it in Cybersecurity.
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By Elastic
Cybersecurity is evolving. Protection needs to be dynamic. Investigation… faster. An effective response requires accurate context. Modernizing your security operations with Elastic extends security visibility, uncovers potential threats, and integrates with existing security systems — for a swift and proactive response. Everything you need on one open and unified platform, built for the hybrid cloud. Elastic Security empowers your business to achieve more even in the most complex digital environments.
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By Elastic
It’s the perfect pairing of your private data with generative AI (GAI) and large language models (LLMs) like ChatGPT. With Elastic, the possibilities are endless for more human, intuitive ways to serve up key information for your customers and teams — all while safeguarding the privacy of all your data.
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By Elastic
Get a look at the power of Elasticsearch and generative AI (GAI) in action — always putting privacy first and safeguarding your proprietary data. Several examples show off the art of the possible, with intuitive, personalized results you can’t achieve with just publicly available data.
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Elastic is the world's leading software provider for making structured and unstructured data usable in real time for search, logging, security, and analytics use cases. Built on an open source foundation, the Elastic Stack lets you reliably and securely take data from any source, in any format, and search, analyze, and visualize it in real time.
The Elastic Stack:
- Kibana gives shape to your data and is the extensible user interface for configuring and managing all aspects of the Elastic Stack.
- Elasticsearch is a distributed, JSON-based search and analytics engine designed for horizontal scalability, maximum reliability, and easy management.
- Beats is a platform for lightweight shippers that send data from edge machines to Logstash and Elasticsearch.
- Logstash is a dynamic data collection pipeline with an extensible plugin ecosystem and strong Elasticsearch synergy.
Founded in 2012 by the people behind the Elasticsearch, Kibana, Beats, and Logstash open source projects, Elastic's global community has more than 80,000 members across 45 countries. Since its initial release, Elastic's products have achieved more than 100 million cumulative downloads.