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By David Bunting
Modern SecOps teams use Security Information and Event Management (SIEM) software to aggregate security logs, detect anomalies, hunt for threats, and enable rapid incident response. While SIEMs enable accurate, near real-time detection of threats, today's SIEM solutions were never designed to handle the volume of security data organizations generate daily. As daily log ingestion grows, so do the costs of data management.
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By David Bunting
Managed Detection and Response (MDR) is a cybersecurity service offered by a Managed Security Services Provider (MSSP) that combines human security expertise with modern security tools to deliver managed threat detection, security monitoring, and incident response capabilities for both SMBs and enterprise clients.
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By David Bunting
Managed Detection and Response (MDR) services play a critical role in cybersecurity. These technologies remotely monitor, detect, and respond to threats, blending threat intelligence with human expertise to hunt down and neutralize potential risks. However, one of the biggest challenges MDRs face is managing the sheer volume and variety of threat intelligence data they receive.
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By David Bunting
The 2024 Global Digital Trust Insights survey from PwC reports that 36% of businesses have experienced a data breach that cost more than $1 million to remediate. Cyber threats are clearly on the rise and in today’s volatile threat environment, it is a matter of when - not if - a cybersecurity incident will occur. Digital adversaries are becoming more sophisticated and relying on weak links to exploit company applications and infrastructure.
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By Dave Armlin
SecOps teams at midsize companies face a unique set of challenges when it comes to managing organizational cybersecurity. Midsize companies (those with 100-999 employees and $50 million-$1 billion in annual revenue, according to Gartner) possess significant financial resources and valuable data that may be targeted by digital adversaries.
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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
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
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 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.
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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 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
Now you can actually have a conversation with your data! The Chaos AI Assistant is a breakthrough feature that elevates log and event data analytics. Seamlessly integrating with the ChaosSearch Platform, it utilizes AI and Large Language Models (LLMs), enabling you to talk to your data to unveil actionable insights.
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By ChaosSearch
Now you can actually have a conversation with your data! The Chaos AI Assistant is a breakthrough feature that elevates log and event data analytics. Seamlessly integrating with the ChaosSearch Platform, it utilizes AI and Large Language Models (LLMs), enabling you to talk to your data to unveil actionable insights.
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By ChaosSearch
Now you can actually have a conversation with your data! The Chaos AI Assistant is a breakthrough feature that elevates log and event data analytics. Seamlessly integrating with the ChaosSearch Platform, it utilizes AI and Large Language Models (LLMs), enabling you to talk to your data to unveil actionable insights.
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By ChaosSearch
Now you can actually have a conversation with your data! The Chaos AI Assistant is a breakthrough feature that elevates log and event data analytics. Seamlessly integrating with the ChaosSearch Platform, it utilizes AI and Large Language Models (LLMs), enabling you to talk to your data to unveil actionable insights.
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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.