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By David Bunting
Security logging is a critical part of modern cybersecurity, providing the foundation for detecting, analyzing, and responding to potential threats. As highlighted by OWASP, security logging and monitoring failures can lead to undetected security breaches. With the average cost of a data breach adding up to $4.45 million, most organizations can’t afford to miss a security incident.
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By David Bunting
Content delivery networks (CDNs) such as Amazon CloudFront generate a flood of log files. In today’s world where your customers are all around the globe, it's important to make sure that your websites’ application assets are as close to the users as possible.
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By David Bunting
Vulnerability management is the continuous process of identifying and addressing vulnerabilities in an organization’s IT infrastructure, while patch management is the process of accessing, testing, and installing patches that fix bugs or address known security vulnerabilities in software applications. Vulnerability management and patch management are crucial SecOps processes that protect IT assets against cyber threats and prevent unauthorized access to secure systems.
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By David Bunting
As cybersecurity attack vectors evolve, security logging and monitoring are becoming even more important. Effective logging and monitoring enables organizations to detect and investigate security incidents quickly. Cloud-based attackers are getting more sophisticated, and often rely on stolen credentials to escalate privileges and move laterally within corporate IT networks. Many do so undetected, which is why modern IT systems require a watchful eye on log data to detect suspicious activity and inform incident response efforts.
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By David Bunting
Managed Detection and Response (MDR) services occupy an important niche in the cybersecurity industry, supporting SMBs and enterprise organizations with managed security monitoring and threat detection, proactive threat hunting, and incident response capabilities.
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By George Hamilton
The infrastructure and services running on public cloud computing services like Google Cloud Platform (GCP) and Amazon Web Services (AWS) produce massive volumes of logs every day. An organization’s log data provides details about their entire IT environment in real-time, or at any point in time in history.
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By David Bunting
In cybersecurity, it's a big challenge to handle diverse data formats across various platforms. The Open Cybersecurity Schema Framework (OCSF) aims to address this by standardizing data security formats and simplifying the process of threat hunting. Major players like IBM, AWS and others are working together to standardize data with this open-source project, emphasizing its importance.
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By Thomas Hazel
MITRE ATT&CK is an invaluable resource for IT security teams, who can leverage the framework to enhance their cyber threat intelligence, improve threat detection capabilities, plan penetration testing scenarios, and assess cyber threat defenses for gaps in coverage.
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By David Bunting
Managing an Elasticsearch cluster can be complex, costly, and time-consuming - especially for large organizations that need to index and analyze log data at scale. In this short guide, we’ll walk you through the process of creating an Amazon S3 bucket, configuring an IAM role that can write into that bucket, and attaching that IAM role to your Amazon S3 instance - all using the AWS Command Line Interface (CLI).
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By David Bunting
Establishing a proactive security posture involves a data-driven approach to threat detection, investigation, and response. In the past, this was challenging because there wasn't a centralized way to collect and analyze security data across sources, but with Amazon Security Lake it is much simpler. Whether you're a security company improving and refining your threat intelligence for customers, or you're investigating security threats within your own environment, there are a few important things you need to know. This blog will cover the tools, frameworks and data types you'll need to threat hunt in Amazon Security Lake.
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By ChaosSearch
The leader in cybersecurity, Blackpoint Cyber, has teamed up with ChaosSearch, to create a next-generation data platform for log analytics for observability & security. We look forward to working with the Blackpoint team on tackling the rising costs & pain of ELK, while significantly increasing data retention, building a future-proof data platform for the increasingly challenging cybersecurity environment & AI-driven world.
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By ChaosSearch
In today's data-driven landscape, the ability to derive actionable insights from log data is more critical than ever. Among the plethora of log formats, JSON (JavaScript Object Notation) has emerged as a prevalent choice for logging due to its flexibility and readability.
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By ChaosSearch
Learn how ChaosSearch analyzes log and event gaming data from fictitious car racing game racing legends.
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By ChaosSearch
Thomas Hazels talks to John Furrier, co-founder of SiliconANGLE on data: AI, LLM, and Chaos LakeDB.
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By ChaosSearch
Built from the ground up to transform your cloud storage into a Live Search+SQL+GenAI Analytics Database.
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By ChaosSearch
Built from the ground up to transform your cloud storage into a Live Search+SQL+GenAI Analytics Database. Ed Walsh shares details on the new Chaos LakeDB.
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By ChaosSearch
CHAOSSEARCH is a fully managed Log Analysis SaaS solution built on our innovative architecture and revolutionary, patent-pending index technology. Our solution delivers log analysis at cloud-scale and eliminates data movement - the first SaaS solution to provide infinite data storage by accessing your data in your Amazon S3.
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ChaosSearch makes it simple for organizations to run cloud-scale log analytics in their own Amazon S3 cloud storage. It uniquely transforms your cheap, secure, and durable cloud object storage into a distributed analytic data lake where scale is infinite, cost is disruptive, and access is universal.
Traditional log analytics weren’t designed for today’s tsunamis of log data. They require brute force (adding more and more compute) to search and analyze huge stores of logs. This means businesses must continually choose between spending more money or reducing data retention.
ChaosSearch’s SaaS data platform was built for a data-entrenched world. It’s based on the company’s patent-pending index technology and architecture that remove the limits, cost, and complexity inherent in conventional solutions.
- Performance at Scale: Easily scales to petabytes and beyond so you can analyze what you need, whenever you need.
- Fully Managed Service: There’s no software or hardware for you to deploy, configure or maintain.
- All on Your Amazon S3: ChaosSearch stores and analyzes data directly in your own Amazon S3 cloud object storage. It does not hold or store any data.
- Disruptive Pricing: Costs up to 80% less than other solutions, thanks to Chaos Index’s unique properties that eliminate the need to manually shard data and enable unparalleled compression ratios.