This report provides a unique perspective on trends based on the usage of app architectures, processes, tools and use cases by leading-edge enterprises. The data in this report analyzes the technology adoption from more 2,000 Sumo Logic customers who run massive mission-critical modern applications on cloud platforms like AWS, Azure, and Google Cloud Platform, as well as hybrid cloud infrastructures.
Running an effective security operations center (SOC) is at the heart of an enterprise’s strong cyber defense. SOC teams must continuously maintain visibility of security threats in their environment to inform and drive their response actions. Without a doubt, an organization’s response workflow is only as strong as the input that comes from their threat analysis.
Today’s SOC teams are fatigued and under pressure from overwhelming alert volume. Many SOCs were built around legacy solutions designed with SIEM technology invented years, even decades ago. With the threat landscape evolving at an unprecedented rate, SOC teams are limited by these technology restrictions and unable to keep pace with the volume and sophistication of modern attacks.
For 30 days, you get full access to Sumo Logic’s Continuous Intelligence Platform™, allowing you to conduct real-time forensics and log management for all your IT data. With fully elastic scalability, Sumo Logic is a fit for any size deployment—no complex installations or upgrades for hardware, software, and storage required.
SaaS adoption is continuously on the rise and so is the number of companies migrating their email services to Microsoft Office365. It’s the most popular SaaS service and while over 90% of enterprises use it, only less than a quarter of them have already migrated to the cloud-based suite. Nonetheless, this number is growing steadily, as cloud adoption rates are increasing.
In 2010, cloud computing just started to lead the IT revolution. It’s 2020 and the cloud is already mainstream. If you’re not running your business in virtual yet, you’re missing out on huge profit opportunities and capabilities that the cloud has to offer. Adopting a cloud strategy brings better security, increased stability and overall greater flexibility for your organization.
Continuous intelligence has entered the business intelligence (BI) and analytics lexicon. However, like many new tech terms it is somewhat shrouded in confusion. Some believe it is a byword for realtime analytics, while others argue that it is an entirely new approach to analytics. In this report, we attempt to unravel the phrase and its approach, as well as distinguish it from continuous data integration, which emerged almost four years ago.
Continuing Diagnostics and Mitigation (CDM) is a program of the Department of Homeland Security designed to enhance cybersecurity across the Federal government. By deploying a standardized stack of pre-approved security tools, CDM ensures that small and large agencies alike can protect their networks from common threats.
If you are reading this, I don’t have to convince you any further of the powerful intelligence we can derive from logs and machine data. If you are anything like the many, many users, customers and prospects we have been talking to over the years, you might, however, have some level of that pesky modern condition commonly known as volume anxiety.
AWS offers more than 150 discrete services, spanning compute, storage, database, network, and identity management to name a few. Earlier this year we published our Continuous Intelligence Report in which we surveyed Sumo Logic customers on how broadly they used the various AWS services. We found that the median number of different services most orgs use was 15.
Security is a top concern for any enterprise to move their applications and workloads to the public cloud. AWS offers a broad selection of native security tools and as our Continuous Intelligence Report noted, AWS customers are using several of these to improve the security of their AWS environment. However, it can be overwhelming to know where to start and how to deploy best practices for detecting security misconfigurations caused by human errors and attacks from external sources.
Nowadays, it’s not uncommon to see enterprise IT leaders in a situation that seems like a catch 22. Oftentimes, they are expected to be involved in making data-driven decisions for augmenting productivity and profitability. Paradoxically, they are preoccupied with what they consider as their core responsibilities – applying best practices to safeguard the IT infrastructure and expediting investigations when incidents occur. As practitioners of IT, we must admit that it rings a bell and also chip in with our knowhow.
Never before in history has the concept of identity been so vital. To a large extent, everything we rely on to live our lives depends on who we are… or perhaps more accurately, who we can prove ourselves to be. Our data has come to be the standard by which we define ourselves. Because this identity-defining data is online, the protection of our data is of paramount importance.