December 2022

Strategies to Combat Emerging Gaps in Cloud Security

cloud monitoing, cybersecurity, deep observability, network observability, startup

As cloud clients input 2023 with a hybrid presence in multiple clouds, they work on prioritizing techniques to fight rising gaps in cloud security.

Most big agencies are getting access to cloud offerings in numerous public clouds, whilst preserving organization structures and personal clouds of their company’s facts centers.

One of the ways of closing these gaps in security could be adopting deep observability. We have already reviewed a few Deep Observability providers such as Gigamon. While Gigamon probably can be considered a current market leader in this relatively new and small market with under $2B annual market size, they still should watch out for the newcomers who come with shiny new products and great technologies under the hood.

CtrlStack is one of these startups and they recently got a second round of funding from Lightspeed VC, led by Kearny Jackson and Webb Investment Network.

The delivery of features and applications by today’s digital-first companies and developers is accelerating. Teams from information technology operations and software development must collaborate closely to do this, forming a practice known as DevOps. When events occur, they may involve any number of digital environment systems, including operations, infrastructure, code, or any combination of modifications made to any of them.

The CtrlStack platform connects cause and effect to make troubleshooting easier and incident root cause analysis faster by tracking relationships between components in a customer’s systems. Developers and engineers can solve problems quickly by giving DevOps teams the tools they need.

By forming an understanding graph of all of the infrastructure, interconnected offerings, and impact, CtrlStack can supply the full picture while capturing the devices’ modifications and relationships throughout the whole device stack. Using CtrlStack product DevOps groups can view dependencies, measure the impact of modifications and examine occasions in actual time.

Key capabilities of the platform encompass an occasion timeline that permits groups to browse and clear out out extrade occasions, without having to sift via log documents or survey users, and a visual representation that offers insights into operational data. Both of those capabilities additionally force dashboards for builders and DevOps groups.

Developers can also access their dashboards that give visibility for any modifications to code commits, configuration documents, or function flags, – all in one click. DevOps groups get a dashboard for root reason evaluation that permits them to seize all of the context for the time being they came about with a searchable timeline of dependencies displaying the whole impacted topology and impacted metrics.

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Deep Observability and Zero Trust

cloud monitoing, cybersecurity, deep observability, network observability

Zero trust architecture has established itself as a highly recognized method of safeguarding both on-premises systems and the cloud in response to the exponential rise in ransomware and other cyber threats. In example, although only 51% of EMEA IT and security professionals said they were confident implementing zero trust in 2019, that percentage increased noticeably to 83% in 2022.

The implicit trust that is placed in internal network traffic, people, or devices is eliminated by a zero trust architecture, to put it simply. Businesses can increase both productivity and security with this defense / defense in depth approach to security.

For businesses, implicit confidence in the technology stack can be a major problem. IT teams frequently struggle to put the right trust controls in place because they typically assume that the company owns the system, that all users are employees, or that the network was previously safe. These trust indicators, however, are insufficient. Organizations are becoming more exposed to risk as a result of trust built on assumptions. These careless measurements of trust can be utilized by threat actors against a company to facilitate network intrusion and data breaches.

A zero trust framework gets rid of any implicit trust and instead determines whether a company should grant access in each specific situation. It is more crucial now that bring-your-own-device (BYOD) initiatives have become so popular due to the rise of remote and hybrid working.

To increase the effectiveness of metric, event, log, and trace-based monitoring and observability tools and reduce risk, deep observability is the addition of real-time network-level intelligence. With it comes more insight to strengthen a company’s security posture since deep observability enables security professionals to examine the metadata that threat actors leave behind after evading endpoint detection and response systems or SIEMs. Therefore, it is essential to support a thorough zero trust strategy.

In the end, zero trust’s primary objective is to identify and categorize all network-connected devices, not only those that have endpoint agents installed and functioning, and to tightly enforce a least-privilege access policy based on a detailed analysis of the device. This cannot be done for devices or users that you can not access.

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Growth in Deep Observability Services

cloud monitoing, cybersecurity, deep observability

Gigamon, a deep observability company has recently reported a 100% YoY increase in Deep Observability Pipeline ARR. Some market researches estimate the Deep Observability market size as $2B in 2026.  According to Gigamon, the company leads this market with 68% market share. Cybersecurity solutions should adequately protect the entire system while eliminating blind spots. This becomes particularly challenging in multi-cloud and hybrid environments. SOC teams need historical data and insights into attackers’ strategies, and most of all they need time to properly prepare and respond. With customers like US Department of Defense and Lockheed Martin, Gigamon looks well-packed to deliver high-quality Deep Observability network solutions and AI-based threat detection to the US and international markets.

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