Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    How Data Analytics Is Reshaping Patient Financing Decisions
    How Data Analytics Is Reshaping Patient Financing Decisions
    13 Min Read
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Delivering Security And Operational Efficiency In Multi-Cloud Environments
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > IT > Cloud Computing > Delivering Security And Operational Efficiency In Multi-Cloud Environments
Cloud ComputingExclusiveITSecurity

Delivering Security And Operational Efficiency In Multi-Cloud Environments

Liviu Arsene
Liviu Arsene
7 Min Read
managed cloud hosting
Shutterstock Licensed Photo - By nmedia
SHARE

Enterprises have embraced digital transformation. The migration of business to the cloud is happening at breakneck speed and organizations maintain, on average, five clouds, either public or private. Those that employ public clouds use no less than three cloud providers to support key business services and applications. A multi-cloud approach for deploying infrastructure vendors is an increasingly common strategy for modern business, but what implications does it have for organizations that have strict requirements for both security and performance, and demand visibility across heterogeneous environments for control, compliance and cost efficiency? How can cloud workload protection platforms be deployed for secure, centralized, unified and consistent delivery of business services regardless of where they run in private, public or hybrid, multi-cloud environments?

Contents
  • What are cloud workload protection platforms?
  • Security Challenges in Heterogeneous Environments
  • If Visibility is Key, Why is it Difficult to Achieve?

What are cloud workload protection platforms?

Cloud Workload Protection Platforms (CWPPs) are workload-centric security protection solutions that usually involve deploying security agents within server or endpoint workloads that span across hybrid data centers and physical or virtual infrastructures. Specifically designed for multiple public cloud infrastructure-as-a-service (IaaS) environments, and sometimes even container-based application architectures, cloud workload protection platforms should address any type of environment under any conditions. However, CWPPs are not a deploy-and-forget security solution. While they do streamline security operations by enabling a policy-driven approach towards enforcing security, CWPPs are also focused on having a strong security stack that?s capable of protecting against a wide range of attack vectors and threats. Enterprises now chose technologies like multiple VM vendors and containers, to run their applications in order to enable developer agility and scale operations. Cloud-native topologies drive competitive business, and enterprises that run multi-cloud environments need to also factor in security as a key focus up and down the stack. This means organizations need to protect cloud workloads wherever they run, without impacting performance, usability, or security. CWPPs are not just security tools that are designed to protect infrastructures. They can also be used as a visibility tool because–regardless of the scale and concentration of workload–they can still be immediately protected as soon as new instances are created or destroyed, based on predefined role-based security policies that are automatically enforced across the multi-cloud infrastructure. Elastic perimeters brought forward by cloud native applications that can run anywhere in the multi-cloud require security agents that can morph their behavior in terms of security features and performance optimizations based on whether workloads run on-premise or in the multi-cloud. Therefore, enterprises need specific host-centric security solutions to work with modern hybrid data centers, architectures, and infrastructures.

Security Challenges in Heterogeneous Environments

Security engineers often deal with security issues that revolve around compliance, legislation and standards, vulnerability management, infrastructure usage control, incident management and detection, and risk management. With rules and regulations such as GDPR, HIPAA, and PCI, enterprise security engineers and infrastructure architects need to have full understanding of how data is moved across the infrastructure, how it?s accessed across different geographical regions, and how it?s secured. Regardless if an enterprise uses on-premises, co-located, cloud-based datacenters, or all the above, security engineers have the additional task of also factoring in costs when building a cloud-first security strategy and security technologies integration roadmap. Prioritizing their security technology needs is one of the most difficult aspects. For instance, while server protection strategies revolve around IaaS data encryption at rest, behavioral detection and response, vulnerability shielding, and even a security solution, it?s equally valuable to implement other core server protection strategies. Ranging from exploit prevention and memory protection to application whitelisting, network segmentation and traffic visibility, security engineers might have a hard time building this hierarchical security strategy without a set of clearly defined priorities, a roadmap, and a cloud workload protection platform that addresses these challenges. Multi-vendor virtualization, containerization, and an infrastructure-as-code with APIs bringing elastic perimeters, security engineers also need to configure cloud services so that they don?t open the gate to new attack surfaces. It?s key to understand that security is as much about having the right security tools as it is about properly configuring the infrastructure. Otherwise, regardless of how potent CWPPs are, there?s always the risk for a threat actor or even internal actors to exploit a misconfiguration bug that cripples the entire infrastructure. To that end, visibility across multi-cloud environments is key not just from a security perspective, but from an operational perspective, as it helps quickly identify potential infrastructure blind spots or help investigate potential in-progress data breaches.

If Visibility is Key, Why is it Difficult to Achieve?

Gaining a snapshot of the enterprise security posture is one of the most difficult things to achieve. While compliance and security audits are valuable, they?re time-consuming, resource-intensive, expensive, and unable to keep up with the fast pace of today?s businesses. Today?s IaaS infrastructure make it extremely difficult for security engineers to both manage and secure workloads, especially while balancing performance and availability. Automation plays a vital role for enterprises that use multi-cloud environments, and security needs to be an enabler for all the benefits associated with this new digital architecture. This means that an effective security solution needs to have the ability to secure cloud-first applications regardless of their location. CWPPs that are platform agnostic in terms of operating systems and hypervisors, while also having native integration with them, can help increase visibility across infrastructures by instantly identifying and securing newly generated production workloads. This approach can help reduce the risk of being exposed to large-scale and automated attacks while also preventing advanced and sophisticated attacks by having visibility across the entire multi-cloud infrastructure.

More Read

IoT Security
Ensuring Cybersecurity When Rolling Out IoT Across Your Business Operations
Right Time Business Optimization
What Data Methods Can Businesses Invest In to Get Better Consumer Results?
How Cybersecurity Is Creating Opportunities For Young People
Top DevOps Trends that Will Matter in 2020 For Your Business
TAGGED:cybersecuritydata securitythe cloud
Share This Article
Facebook Pinterest LinkedIn
Share
ByLiviu Arsene
Liviu Arsene is a Global Cybersecurity Researcher for Bitdefender, with a strong background in security and technology. Researching global trends and developments in cybersecurity, he focuses on advanced persistent threats and security incidents while assessing their impact in critical public and private business infrastructures. His passions revolve around innovative technologies and gadgets, focusing on their security applications and long-term strategic impact.

Follow us on Facebook

Latest News

How Data Analytics Is Reshaping Patient Financing Decisions
How Data Analytics Is Reshaping Patient Financing Decisions
Analytics Big Data Exclusive
AI driven big data company
How AI-Driven Workflows Are Changing the Way Companies Think About Data Risk
Artificial Intelligence Data Management Exclusive Risk Management
ai product development
Why Businesses Outsource AI Product Development Companies
Exclusive News
banking tools
The Fintech and Banking Tools Global Entrepreneurs Rely On
Fintech Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

wordpress site safety measures
Big DataExclusive

The Role Of Big Data In Setting WordPress Safety Trends In 2020

8 Min Read
Adjust Windows settings for better data privacy
Security

What You Should Adjust in Windows to Improve Data Security

8 Min Read
artificial intelligence and IT security
Artificial IntelligenceExclusiveITSecurity

AI Cloud Developments Offer Remarkable Improvements in IT security

5 Min Read
what cyber criminals can do with your metadata
Best PracticesBig DataData ManagementExclusivePrivacyRisk ManagementSecurity

What Cyber Criminals Can Do With Your Metadata

8 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?