A visual representation of the data pulled from MeriTalk research and Cohesity's MDF study with a focus on the federal government's journey to IT modernization, the lack of progress despite large budgets and next steps for success.
In partnership with reseller partner, CTG Federal, we created this piece based on an interview with Steve Grewal, focusing on data management at the tactical edge, the DoDs data consolidation challenges and opportunities for technology and process improvements.
Learn how Cloudera can help you choose the right stream processing engine for organization's needs by analyzing key technical and operational differentiators between four modern stream processing engines from the Apache open source community.
CIS released the CIS Amazon Web Services (AWS) Foundations Benchmark, intended for system and application administrators, security specialists, auditors, help desk, platform deployment, and/or DevOps personnel who plan to develop, deploy, assess, or secure solutions in Amazon Web Services.
The line between IT and Security is blurring. What was once a simple delineation between keeping information safe and providing the tools necessary to get work done is no longer clear. In this short paper, we’ll look at why asset management – once a pure IT play – matters for cybersecurity, and how both IT and security teams can benefit from cybersecurity asset management.
After working with hundreds of security professionals and covering over 1 million assets at some of the world’s most innovative brands, the team at Axonius has identified 5 things that security teams discover when they automate cybersecurity asset management. In this short paper, we’ll review each of these findings, discuss their security implications, and show how automating asset management can both find and resolve these challenges.
Eight years after former Forrester analyst John Kindervag introduced the Zero Trust model, the concept has hit the mainstream. As current Forrester analyst Chase Cunningham says, 85% of his calls involve zero trust. With the amount of interest in the concept, many organizations are rushing to understand how to implement the zero-trust model. In this guide, we’ll look at the first step to implementing zero trust: asset management.
Today, security professionals face many challenges in cybersecurity asset management, from aggregating disparate data sets to establishing real-time visibility in a fluid environment. Emerging technology, such as IoT deployments, and workplace modernization like BYOD continue to complicate this situation. Organizations must understand the depth and breadth of the devices on their network.
At its core, patch management is a discipline that combines both knowledge and action. It requires IT and security teams to understand which devices are known and unknown, the version and subsequent vulnerabilities of software being used, and the impact of change. In an environment complicated by always-on, smart devices, a new approach is needed to address what’s known as well as the unknowns that should be known.
IT and security teams are already struggling to find new management and security tools that can keep up. VMs, new devices, and new device types are driving complexity. Most say that they already have too many tools, yet still report visibility gaps in what they can see versus what they want to see across cloud, mobile, and IoT environments. This gap directly translates into added security risk. 85% of organizations plan to increase investment in asset management to help overcome these issues.
By seamlessly integrating with over 200 security and IT management solutions, Axonius deploys in hours (not weeks) to improve threat and vulnerability management, security operations, incident response, and overall security posture.
This white paper highlights how automating both device discovery and making VA tools aware of new devices that should be scanned can enforce security policies, increase the ROI of vulnerability scanning investments, and strengthen an organization’s overall security posture.
While we live in a time of incredible innovation from AI to Machine Learning, Deception and Automation, it’s still difficult to answer the basics. Let’s take a look at some of the foundational questions at the core of any asset management initiative.
In this short paper, we’ll look at what constitutes an “unmanaged” device, approaches to discovery, and how continuous data aggregation and correlation helps automate unmanaged device discovery.
Cohesity DataPlatform Virtual Edition™ is a software-defined platform that consolidates secondary data and applications on a single virtual appliance to overcome mass data fragmentation.