Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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Hunting with the LimaCharlie Query Console - Webinar

Managing various data sources and retaining data can be a hassle for SecOps teams. LimaCharlie removes this headache by providing one-year of telemetry storage for any data type - EDR, cloud provider logs, authentication logs, and many more. This allows your organization to preserve a valuable source for threat hunting and anomaly detection. Watch this webinar where we explore LimaCharlie’s Query Console, and learn how you can structure queries to quickly hunt through any historical data set, find value, and uncover hidden gems.

Supercharge Team Productivity with Essential Jira Integrations

Looking to supercharge your team's productivity, optimize project management, and enhance security within Jira? Look no further! Watch the session where six Atlassian Marketplace vendors - Move Work Forward, Reliex, SaaSJet, Release Management, OBoard, and GitProtect.io - united their efforts to share best practices & insider tips for streamlining your workflows and productivity, boosting collaboration, and protecting your Jira data.

Defending Against Attacks on Data with Rubrik and the CrowdStrike Falcon Platform

In today's digital landscape, cyber attacks are an ever-present threat, and they all ultimately target one thing: data. For most organizations, the challenge lies not only in protecting this data but also in understanding the full scope of what they have. Many organizations struggle to identify how much sensitive data they possess, where it resides, and who has access to it.

CVE-2024-6678: GitLab Fixes Critical Pipeline Execution Vulnerability

On September 11, 2024, GitLab released patches for a critical vulnerability affecting various versions of GitLab CE/EE, identified as CVE-2024-6678. This flaw allows a remote attacker to trigger a pipeline as an arbitrary user under specific conditions. A GitLab pipeline is a collection of automated processes that run in stages to build, test, and deploy code.

The Imperative of Data Loss Prevention in the AI-Driven Enterprise

As organizations increasingly integrate artificial intelligence (AI) into their operations, the nature of data security is undergoing significant transformation. With AI’s ability to process vast amounts of data quickly, the risk of data breaches and leaks has grown exponentially. In this context, Data Loss Prevention (DLP) has (re)emerged as a critical component for IT professionals seeking to safeguard sensitive information.

Types of Security Scans Every Organization Should Be Using

In 2023, nearly 60% of incidents investigated by Arctic Wolf Incident Response involved a vulnerability that was two — or more — years old. That means the organization had 24-plus months to find and remediate the vulnerability before threat actors took advantage. Why do vulnerabilities remain persistent? There’s a number of reasons, not the least of which is that more of them pop up each day, creating a mountain of vulnerabilities that feels too difficult to summit for most businesses.