#Microsegmentation Software

[xaltius]

Top 10 Cybersecurity Trends and Strategies in 2025

As we navigate through 2025, the cybersecurity landscape continues its relentless evolution, driven by geopolitical tensions, rapid technological advancements, and the ever-increasing ingenuity of cybercriminals. For individuals and organizations, staying secure means not just reacting to threats, but anticipating them and implementing proactive strategies.

Here are the top 10 cybersecurity trends defining 2025 and the essential strategies to fortify your defenses:

1. The Escalating AI Arms Race: Both Sword and Shield

Trend: Generative AI (GenAI) is a double-edged sword. While it dramatically enhances threat detection, anomaly analysis, and automated response for defenders, it also empowers attackers to create more sophisticated and convincing phishing campaigns (including deepfakes), adaptive malware, and automated exploitation at an unprecedented scale and reduced cost. AI-driven cyber threats are expected to become more widespread.

Strategy: Invest in AI-powered security solutions (e.g., Extended Detection and Response (XDR), User and Entity Behavior Analytics (UEBA)) that leverage machine learning for advanced threat detection and automated response. Simultaneously, prioritize comprehensive security awareness training that specifically addresses AI-enhanced attacks, including deepfake recognition and sophisticated social engineering.

2. Zero Trust Architecture: The New Baseline

Trend: The traditional perimeter-based security model is obsolete. With hybrid workforces, extensive cloud adoption, and interconnected supply chains, the "never trust, always verify" principle of Zero Trust Architecture (ZTA) is becoming the fundamental security posture for most enterprises. Gartner predicts 70% of new remote access deployments will rely on ZTNA rather than VPNs by 2025.

Strategy: Implement ZTA across your entire IT environment, focusing on continuous verification of every user, device, application, and data flow, regardless of location. Prioritize microsegmentation, strong identity and access management (IAM), and least privilege access.

3. Supply Chain Security: Beyond Your Own Walls

Trend: Supply chain attacks continue to be one of the most devastating vectors. By compromising a trusted third-party vendor or software component, attackers can gain access to numerous downstream organizations. The interconnectedness of modern businesses makes this a critical vulnerability, with a growing focus on software supply chain integrity.

Strategy: Implement robust third-party risk management programs. Demand strong security assurances from vendors, conduct regular security assessments of your supply chain partners, and enforce secure software development lifecycle (SSDLC) practices for all purchased or integrated software components.

4. Cloud Security Posture Management (CSPM) & Cloud-Native Security

Trend: As cloud adoption accelerates and multi-cloud environments become standard, misconfigurations remain a leading cause of cloud breaches. Attackers are increasingly targeting cloud-native vulnerabilities, API keys, and non-human identities. Rapid digital transformation is driving significant cloud adoption, bringing these challenges to the forefront.

Strategy: Adopt comprehensive CSPM tools for continuous monitoring of cloud configurations and compliance. Implement robust Identity and Access Management (IAM) for cloud environments, focusing on least privilege for both human and non-human identities. Prioritize cloud-native security tools that integrate deeply with cloud provider APIs.

5. Cyber Resilience and Rapid Recovery: Expect the Breach

Trend: Organizations are shifting from a sole focus on "prevention" to "resilience." This acknowledges that breaches are often inevitable and emphasizes the ability to quickly recover, minimize impact, and maintain business continuity. Ransomware attacks, which are becoming more sophisticated and disruptive, continue to drive this imperative.

Strategy: Develop and regularly test comprehensive incident response plans. Implement robust, immutable backup strategies (e.g., the 3-2-1 rule with off-site, air-gapped copies). Invest in automated recovery solutions and conduct regular tabletop exercises to ensure rapid restoration of critical operations.

6. Identity-Centric Security & Passwordless Authentication

Trend: Passwords remain a weak link and a frequent target for attackers. The widespread adoption of strong, adaptive, and passwordless authentication methods (like FIDO passkeys, biometrics, and magic links) is gaining significant momentum, offering enhanced security and a superior user experience.

Strategy: Enforce multi-factor authentication (MFA) across all systems as a foundational layer. Actively explore and implement passwordless authentication solutions for employees and customers where feasible, leveraging open standards like FIDO WebAuthn for secure and convenient logins.

7. OT/IoT Security Convergence and Challenges

Trend: The convergence of Operational Technology (OT) and Information Technology (IT) networks, coupled with the proliferation of Internet of Things (IoT) devices, creates new and complex attack surfaces. Legacy OT systems were often not built with modern cybersecurity in mind, making them vulnerable, especially in critical infrastructure sectors.

Strategy: Implement robust network segmentation to isolate OT/IoT environments from traditional IT networks. Deploy specialized OT/IoT security solutions for asset visibility, threat detection, and vulnerability management in these unique environments. Address legacy system risks through compensating controls and rigorous patch management.

8. Enhanced Data Privacy and Compliance Complexity

Trend: The global regulatory landscape around data privacy continues to expand and mature. The Digital Personal Data Protection Rules, 2025, are set to significantly enhance privacy and data protection, bringing new compliance requirements and greater accountability for organizations handling personal data.

Strategy: Develop and maintain robust data governance frameworks. Invest in data discovery and classification tools to understand where sensitive data resides. Ensure your cybersecurity practices align with all relevant national and international privacy regulations, potentially leveraging privacy-enhancing technologies (PETs).

9. Human Element: The Persistent and Evolving Vulnerability

Trend: Despite technological advancements, the human element remains the primary target for attackers. Social engineering, highly sophisticated phishing, deepfake voice/video scams, and insider threats (both malicious and accidental) continue to be highly effective attack vectors. AI only makes these attacks more convincing.

Strategy: Elevate security awareness and training programs beyond basic phishing simulations. Foster a strong, pervasive cybersecurity culture within the organization. Implement User and Entity Behavior Analytics (UEBA) to detect anomalous insider activities and enhance Data Loss Prevention (DLP) measures.

10. Cyber Workforce Development & Strategic Automation

Trend: The critical global shortage of skilled cybersecurity professionals persists, compounded by the rapid pace of technological change. This drives an urgent need for automation to augment human capabilities and improve efficiency.

Strategy: Invest in Security Orchestration, Automation, and Response (SOAR) platforms to automate repetitive tasks, streamline incident response, and reduce alert fatigue. Focus on upskilling existing security teams and leveraging AI to enhance their capabilities, allowing human experts to focus on strategic initiatives and complex problem-solving. Consider talent from non-traditional backgrounds and provide targeted training.

By understanding these prevailing trends and proactively implementing these strategies, organizations can build more resilient defenses, minimize their risk exposure, and navigate the complex digital challenges of 2025 and beyond. Stay adaptive, stay secure.

[virtualizationhowto]

Proxmox SDN Configuration Step-by-Step

Proxmox SDN Configuration Step-by-Step #proxmox #softwaredefinednetworking #sdn #virtualnetworking #proxmoxsdn #vmwarensx #microsegmentation #virtualfirewall #vxlan #virtualization #vhtforums #homelab #homeserver #bgp #ebgp

With the release of Proxmox 8.1, Proxmox introduced new networking features in the way of Proxmox SDN, or “software defined networking” that is fully integrated out of the box for use in the datacenter. Thanks to virtualization infrastructure, Software defined networking allows taking networking into software without having the need for physical network devices to spin up new networks, subnets,…

[unifiedmicrosystems]

Network Segregation in the Cloud Era: Challenges and Solutions

In today's digital landscape, where businesses increasingly rely on cloud infrastructure for their operations, ensuring robust network security is paramount. One crucial aspect of this security is network segregation, which involves dividing a network into distinct segments to minimize the risk of unauthorized access and data breaches. However, in the cloud era, traditional approaches to network segregation face new challenges and complexities. This article explores these challenges and offers solutions to effectively navigate network segregation in the cloud.

The Evolution of Network Segregation

Traditionally, network segregation was implemented within on-premises infrastructure using physical devices like routers, switches, and firewalls. By creating separate network segments for different departments or types of data, organizations could control access and contain potential security threats. However, with the widespread adoption of cloud computing, the landscape has evolved.

Challenges in the Cloud Era

Dynamic Workloads: In a cloud environment, workloads are often dynamic, with resources scaling up or down based on demand. This dynamic nature complicates traditional network segregation methods, as static configurations may not adapt quickly enough to changes in the environment.

Virtualized Networks: Cloud platforms utilize virtualization technologies to abstract physical hardware and create virtual networks. While this offers flexibility and scalability, it also introduces new complexities in managing network segmentation, as virtual networks may span multiple physical locations or cloud providers.

Interconnected Services: Modern applications are composed of microservices running across distributed environments. These interconnected services communicate over the network, blurring traditional boundaries between segments. Ensuring adequate segregation while maintaining seamless communication poses a significant challenge.

Shared Responsibility Model: Cloud providers operate on a shared responsibility model, where they secure the underlying infrastructure, but customers are responsible for securing their data and applications. This requires clear delineation of responsibilities and coordination between cloud providers and customers to implement effective network segregation.

Solutions for Effective Network Segregation

Zero Trust Architecture: Adopting a zero trust approach assumes that no entity, whether inside or outside the network, should be trusted by default. Instead, access controls are strictly enforced based on identity, device posture, and contextual information. Implementing a zero trust architecture helps mitigate the risks associated with dynamic workloads and interconnected services in the cloud.

Software-Defined Networking (SDN): SDN enables centralized management and programmable control of network infrastructure, making it well-suited for dynamic cloud environments. By abstracting network policies from physical hardware, SDN allows for automated and flexible network segmentation, adapting to changes in workload and traffic patterns in real-time.

Microsegmentation: Microsegmentation involves dividing the network into small, isolated segments to limit lateral movement of threats. In the cloud, this can be achieved using native security features provided by cloud providers or third-party solutions. By applying granular access controls at the workload or application level, organizations can enforce least privilege principles and contain potential breaches.

Cloud-native Security Tools: Leveraging cloud-native security tools and services can enhance network segregation in the cloud. Many cloud providers offer native firewall solutions, network access control lists (ACLs), and intrusion detection/prevention systems (IDS/IPS) that integrate seamlessly with their platforms. These tools provide visibility and control over network traffic, allowing organizations to enforce segmentation policies effectively.

Conclusion:

As businesses increasingly migrate their workloads to the cloud, ensuring robust network segregation is essential to safeguarding sensitive data and mitigating security risks. However, the dynamic and interconnected nature of cloud environments presents new challenges for traditional segregation methods. By adopting modern approaches such as zero trust architecture, SDN, microsegmentation, and leveraging cloud-native security tools, organizations can effectively navigate these challenges and secure their networks in the cloud era.

[tech-developer]

Next-Generation VPN Solutions: The New Technologies

Traditional VPNs have been a mainstay of cybersecurity for many years, but they are no longer enough to meet the needs of modern businesses. Next-generation VPN solutions are emerging to address the challenges of today's complex and distributed networks.

These new solutions offer a number of advantages over traditional VPNs, including:

Improved security: Next-gen VPNs use the latest encryption algorithms and authentication protocols to protect data from unauthorized access. They also offer features such as zero-trust security and microsegmentation to further reduce risk.

Increased performance: Next-gen VPNs are designed to be more efficient and scalable than traditional VPNs, so they can handle even the most demanding workloads.

Greater flexibility: Next-gen VPNs are more flexible than traditional VPNs, and can be deployed in a variety of environments, including cloud, on-premises, and hybrid networks.

Some of the key new technologies that are powering next-generation VPN solutions include:

WireGuard: WireGuard is a new VPN protocol that is designed to be faster, simpler, and more secure than traditional VPN protocols such as IPsec and OpenVPN.

Software-defined networking (SDN): SDN allows administrators to programmatically control network traffic, which can be used to create more secure and agile VPN networks.

Zero-trust security: Zero-trust security is a security model that assumes that no user or device can be trusted by default. Next-gen VPNs can implement zero-trust security by only granting access to resources on a need-to-know basis.

Microsegmentation: Microsegmentation is a security technique that divides networks into small segments and isolates traffic between them. Next-gen VPNs can use microsegmentation to reduce the risk of data breaches and malware infections.

Next-generation VPN solutions are still in their early stages of development, but they are rapidly gaining popularity as businesses seek more secure and reliable ways to connect their remote workers and devices.

Here are some examples of next-generation VPN solutions:

Cloudflare Access: Cloudflare Access is a zero-trust security solution that provides secure access to applications and resources for remote workers and devices. It uses a variety of technologies, including SDN, microsegmentation, and WireGuard, to deliver high performance and security.

Zscaler Private Access (ZPA): ZPA is another zero-trust security solution that provides secure access to applications and resources. It uses a cloud-based architecture to deliver high performance and scalability.

Palo Alto Networks Prisma Access: Prisma Access is a next-generation VPN solution that provides secure access to applications and resources in the cloud, on-premises, and hybrid networks. It uses a variety of technologies, including SDN, microsegmentation, and zero-trust security, to deliver high performance and security.

These are just a few examples of the many next-generation VPN solutions that are available. As the technology continues to develop, we can expect to see even more innovative and secure solutions emerge.

[dclessonsonline]

The Benefits of Cisco ACI in the Data Center

Data centres are evolving every day to implement new and efficient strategies for faster usage. Now data centres all over the world are adapting Cisco ACI technology. These Cisco ACI data centres ensure efficiency, scalability, and security. They have revolutionized the way data centres work and give people a valuable service for guiding and taking a very important part in the operation of a company. The Cisco ACI labs help improve the agility and security of the company. In this article, we will look at the benefits of Cisco ACI labs in data centres.

Automation Cisco ACI is a holistic software-defined networking (SDN) approach that helps them achieve faster processing and proper traffic distribution, which improves the service quality of data centres. The main and most important feature of the Cisco ACI data centre is automation, which eliminates the possibility of human error and thus delays the process. Automation has greatly increased the operational capacity of data centres. Giving them agility and precision and enabling them to manage better. This error-free operation of Cisco ACI Labs has great application usage, which ensures consistency and error-free network configuration.

Simplified Operations Humans have achieved a lot more precision and efficiency after the development of artificial intelligence, as computers have the capability to do the same work with great precision and without a break. Automating things in Cisco ACI data centres can handle large amounts of data at once and thus help provide faster and better service to customers. They have greatly reduced the use of human interaction and human errors. They have simplified the whole process of how these data centres used to work. This has not only helped people get their problems solved but also increased overall employment as they have more scalability and great precision.

Enhanced Security Security is the top concern for any data centre. There is always a great risk that a hacker might intrude into their workload and access the secret information of the company, threatening the overall foundation of the company. In the modern era of Cisco ACI data centres, they have induced technology to decrease the spread of threats in their program. They have used the micro-segmentation process, thus limiting the spread of hacks from one system to another so that the problem can be solved in the individual system only.

Conclusion Cisco ACI labs have transformed how data centres used to work and secure their systems. The automation technology has increased their working performance and made the process easier much safer and more efficient to work on. Increasing the service quality that they provide. Cisco ACI data centres have adopted the latest technology that will help them in the long term by decreasing the chances of human intervention and making the system much more efficient and error-proof.

Microsegmentation and enhanced network configuration have proven that Cisco ACI data centers are much better than traditional ones. DC Lessons has launched its course on Cisco ACI training on its online platform with the best-experienced teachers. Grab your certification now to get started.

For more information about Cisco Aci Data Center please visit the website.

[chetanare]

Global Microsegmentation Software Sales, Revenue, Gross Margin And Market Share Forecast To 2026

Global Microsegmentation Software Sales, Revenue, Gross Margin And Market Share Forecast To 2026

A latest specialized intelligence report published by KandJ Market Research with the title “Global Microsegmentation Software Market Report 2020 by Key Players, Types, Applications, Countries, Market Size, Forecast to 2026 (Based on 2020 COVID-19 Worldwide Spread)” has the ability to help the decision-makers in the most important market in the world that has played a significantly important role…

[reporthive-blog]

Global Microsegmentation Software Market Size, Status and Forecast 2022

This report studies the global Microsegmentation Software market, analyzes and researches the Microsegmentation Software development status and forecast in United States, EU, Japan, China, India and Southeast Asia.

This report focuses on the top players in global market, like VMware (US) Cisco (US) Unisys (US) vArmour (US) Juniper Networks (US) OPAQ Networks (US) Nutanix (US) Cloudvisory (US) GuardiCore (Israel) ExtraHop (US) ShieldX Networks (US) Bracket Computing (US)

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Market segment by Regions/Countries, this report covers United States EU Japan China India Southeast Asia

Market segment by Type, the product can be split into Network Security Database Security Application Security

Market segment by Application, Microsegmentation Software can be split into IT and Telecom Healthcare Retail Manufacturing Others

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Table of Contents

1 Industry Overview of Microsegmentation Software 1.1 Microsegmentation Software Market Overview 1.1.1 Microsegmentation Software Product Scope 1.1.2 Market Status and Outlook 1.2 Global Microsegmentation Software Market Size and Analysis by Regions 1.2.1 United States 1.2.2 EU 1.2.3 Japan 1.2.4 China 1.2.5 India 1.2.6 Southeast Asia 1.3 Microsegmentation Software Market by Type 1.3.1 Network Security 1.3.2 Database Security 1.3.3 Application Security 1.4 Microsegmentation Software Market by End Users/Application 1.4.1 IT and Telecom 1.4.2 Healthcare 1.4.3 Retail 1.4.4 Manufacturing 1.4.5 Others

2 Global Microsegmentation Software Competition Analysis by Players 2.1 Microsegmentation Software Market Size (Value) by Players (2016 and 2017) 2.2 Competitive Status and Trend 2.2.1 Market Concentration Rate 2.2.2 Product/Service Differences 2.2.3 New Entrants 2.2.4 The Technology Trends in Future

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[xaltius]

Top 10 Cybersecurity Trends and Strategies in 2025

As we navigate through 2025, the cybersecurity landscape continues its relentless evolution, driven by geopolitical tensions, technological advancements, and the ever-increasing ingenuity of cybercriminals. Organizations and individuals alike face a more complex and perilous digital environment than ever before. Staying ahead means not just reacting to threats, but anticipating them and implementing proactive strategies.

Here are the top 10 cybersecurity trends defining 2025 and the essential strategies to fortify your defenses.

1. The AI Arms Race: Both Sword and Shield

Trend: Generative AI (GenAI) is a double-edged sword. While it dramatically enhances threat detection, anomaly analysis, and automated response for defenders, it also empowers attackers to create more sophisticated phishing campaigns, adaptive malware, and deepfake-driven social engineering at an unprecedented scale and reduced cost.

Strategy: Invest in AI-powered security solutions (e.g., EDR, XDR, UEBA) that leverage machine learning for advanced threat detection and automated response. Simultaneously, prioritize security awareness training that specifically addresses AI-enhanced attacks, including deepfake recognition.

2. Zero Trust Architecture: The New Default

Trend: The traditional perimeter-based security model is obsolete. With hybrid workforces, cloud adoption, and interconnected supply chains, the "never trust, always verify" principle of Zero Trust Architecture (ZTA) is becoming the fundamental security posture for most enterprises. Gartner predicts 60% of enterprises will embrace Zero Trust as a starting point by 2025.

Strategy: Implement ZTA across your entire IT environment, focusing on continuous verification of every user, device, application, and data flow, regardless of location. Prioritize microsegmentation and least privilege access.

3. Supply Chain Security: Beyond Your Own Walls

Trend: Supply chain attacks continue to be one of the most devastating vectors. By compromising a trusted third-party vendor or software component, attackers can gain access to numerous downstream organizations. The interconnectedness of modern businesses makes this a critical vulnerability.

Strategy: Implement robust third-party risk management programs. Demand strong security assurances from vendors, conduct regular security assessments of your supply chain partners, and enforce secure software development lifecycle (SSDLC) practices for all purchased or integrated software.

4. Cloud Security Posture Management (CSPM) & Cloud-Native Security

Trend: As cloud adoption accelerates and multi-cloud environments become standard, misconfigurations remain the leading cause of cloud breaches. Attackers are increasingly targeting cloud-native vulnerabilities, API keys, and non-human identities.

Strategy: Adopt comprehensive CSPM tools for continuous monitoring of cloud configurations. Implement robust Identity and Access Management (IAM) for cloud environments, focusing on least privilege for both human and non-human identities. Prioritize cloud-native security tools that integrate deeply with cloud provider APIs.

5. Cyber Resilience and Recovery: Expect the Breach

Trend: Organizations are shifting from a sole focus on "prevention" to "resilience." This acknowledges that breaches are often inevitable and emphasizes the ability to quickly recover, minimize impact, and maintain business continuity. Ransomware continues to be a driving force here.

Strategy: Develop and regularly test comprehensive incident response plans. Implement robust, immutable backup strategies (e.g., 3-2-1 rule with off-site, air-gapped copies). Invest in automated recovery solutions and conduct regular tabletop exercises to ensure readiness.

6. Identity-Centric Security & Passwordless Authentication

Trend: Passwords remain a weak link. The widespread adoption of passwordless authentication methods (like FIDO passkeys, biometrics, and magic links) is gaining significant momentum, offering enhanced security and a superior user experience.

Strategy: Transition to strong, multi-factor authentication (MFA) as a baseline. Actively explore and implement passwordless authentication solutions for employees and customers where feasible, leveraging standards like FIDO WebAuthn.

7. OT/IoT Security Convergence and Challenges

Trend: The convergence of Operational Technology (OT) and Information Technology (IT) networks, coupled with the proliferation of IoT devices, creates new and complex attack surfaces. Legacy OT systems were not built with modern cybersecurity in mind, making them vulnerable to sophisticated threats.

Strategy: Implement network segmentation to isolate OT/IoT environments from IT networks. Deploy specialized OT/IoT security solutions for asset visibility, threat detection, and vulnerability management in these unique environments. Address legacy system risks through compensating controls.

8. Enhanced Data Privacy and Compliance Complexity

Trend: The global regulatory landscape around data privacy (e.g., GDPR, CCPA, and new regional laws) continues to expand and mature. Organizations face increasing scrutiny and hefty penalties for non-compliance, pushing privacy to the forefront of cybersecurity strategy.

Strategy: Implement robust data governance frameworks. Invest in data discovery and classification tools. Ensure your cybersecurity practices align with all relevant privacy regulations, potentially leveraging privacy-enhancing technologies (PETs) like differential privacy or homomorphic encryption.

9. Human Element: The Persistent Vulnerability

Trend: Despite technological advancements, the human element remains the primary target for attackers. Social engineering, phishing, and insider threats (both malicious and accidental) continue to be highly effective. AI only makes these attacks more convincing.

Strategy: Elevate security awareness and training programs beyond basic phishing simulations. Foster a strong cybersecurity culture within the organization. Implement User Behavior Analytics (UEBA) to detect anomalous insider activities and enhance Data Loss Prevention (DLP) measures.

10. Cyber Workforce Development & Automation

Trend: The critical global shortage of cybersecurity professionals persists. Organizations are struggling to find and retain talent, leading to burnout and missed threats. This drives an urgent need for automation.

Strategy: Invest in Security Orchestration, Automation, and Response (SOAR) platforms to automate repetitive tasks and streamline incident response. Focus on upskilling existing teams and leveraging AI to augment human capabilities, allowing experts to focus on strategic initiatives rather than manual "firefighting."

By understanding these prevailing trends and proactively implementing these strategies, organizations can build more resilient defenses, minimize their risk exposure, and navigate the complex digital challenges of 2025 and beyond. Stay adaptive, stay secure.

[martydubois]

Unisys Stealth® Achieves Exclusive U.S. Federal Government Certification to Protect National Security Systems

Robust Common Criteria certification from U.S. government recognized by governments in 31 countries worldwide for protection of critical data  Unisys Corporation (NYSE: UIS) today announced the U.S. government certification of Unisys Stealth® to protect information as it flows between Stealth™-enabled endpoints. Stealth is the first microsegmentation cybersecurity solution to be validated by the National Information Assurance Partnership (NIAP). The new certification confirms that Stealth meets the stringent requirements of the NIAP Virtual Private Network (VPN) PP-Module for VPN Client Version 2.1 and the NIAP Protection Profile for Application Software Version 1.3. These profiles assure clients their data will be protected as it travels between endpoints protected by Stealth. The NIAP evaluation is a comprehensive process that certifies products meet internationally-accepted standards for trusted security products and solutions. Products must demonstrate that they meet all specified security requirements to achieve NIAP certification. This updated certification follows the certification of Stealth by NIAP announced in 2018. "This independent validation establishes that Stealth conforms to rigorous security guidelines demanded by governments and the private sector, illustrating that Stealth is able to provide strong cybersecurity to its clients," said Sudhir Mehta, global vice president, product management, Unisys. Read the full article

[holytheoristtastemaker]

Pre-pandemic, many experts touted VPN's demise. During the pandemic, VPNs became lifelines for remote workers to do their jobs. Here's what the future may hold for VPNs.

The importance of VPNs changed significantly in early 2020, as the coronavirus pandemic caused massive digital transformation for many businesses and office workers. VPN trends that started prior to the pandemic were accelerated within days.

What does the future of VPNs look like from the middle of the pandemic?

The past and future of VPN connectivity

The migration of office workers to a work-from-home environment created a new dilemma: How should organizations support workers who may use computers and mobile devices from home to access corporate resources?

The traditional VPN uses a fat client model to build a secure tunnel from the client device to the corporate network. All network communications use this tunnel. However, this model comes at a cost: Access to public cloud resources must transit the VPN tunnel to the corporate site, which then forwards access back out to the internet-based cloud provider. This is known as hairpinning.

For the future of VPNs, end systems' increasing power will facilitate the migration of more software-based VPN technology into endpoints. VPN technologies will evolve to take advantage of local process capabilities, which make VPNs easier for users and network administrators alike. Network admins will control VPN administration through central systems.

Some predictions for the future of VPNs suggest hardware isn't necessary in a software world. Yet, as something must make the physical connections, hardware will still be necessary. More likely, x86 compute systems that perform functions previously done in hardware will replace some dedicated hardware devices -- particularly at the network edge, where distributed computational resources are readily available. The network core will continue to require speeds only dedicated hardware can provide for the foreseeable future.

VPNs enable authorized remote users to securely connect to their organization's network.

VPNs may also begin to function like software-defined WAN products, where connectivity is independent of the underlying physical network -- wired, wireless or cellular -- and its addressing. These VPN systems should use multiple paths and transparently switch between them.

The past and future of VPN security

Corporate VPNs provide the following two major functions:

encrypt data streams and secure communications; and

protect the endpoint from unauthorized access as if it were within the corporate boundary.

The straightforward use of encryption technology is to secure communications. Encryption technology is relatively old and is built into modern browsers, which makes the browsers easy to use. Secure Sockets Layer or Transport Layer Security VPNs can provide this functionality.

Modern VPN systems protect endpoints from unauthorized access, as these systems require all network communications to flow over a VPN between endpoints and a corporate VPN concentrator. Other corporate resources, like firewalls, intrusion detection systems and intrusion prevention systems, protect endpoints with content filtering, malware detection and safeguards from known bad actors.

In the future, IT professionals should expect to see more examples of AI and machine learning applied to these security functions to increase their effectiveness without corresponding increases in network or security administrator support.

Innovative new technologies, such as software-defined perimeter and zero-trust models, will greatly influence the future of VPNs.

VPN paths become less efficient when an endpoint communicates with internet-based resources, like SaaS systems. The endpoint must first send data to the VPN concentrator, which then forwards the data to the cloud-based SaaS application and, therefore, adds to network latency. In addition, network overhead increases within the VPN because the SaaS application also employs its own encryption.

Split tunneling is a potential solution to this inefficiency, but IT teams must select VPN termination points carefully to avoid a security hole. Integration with smart DNS servers, like Cisco Umbrella, enables split tunneling to specific sites under the control of network or security administrators.

An even better security stance relies on a zero-trust model, which assumes endpoints are compromised, regardless of their location. Forrester Research introduced zero trust in 2010, and it has become the new standard to which networks should conform. Zero-trust security components include allowlisting and microsegmentation. The future of VPNs includes automated methods to create and maintain these security functions.

IT professionals can expect the future of VPN technology to provide an increase in security while reducing the effort needed to implement and maintain that security.

[isuperbinternetcollectorus]

At a CAGR of 24.9% Microsegmentation Market will Surpass $2,038.7 Million by 2022 from $670.3 Million in 2017

According to new market research report on "Microsegmentation Market by Component (Software and Services), Security Type (Network Security, Database Security, and Application Security), Service, Organization Size, Deployment Type, Vertical, and Region - Global Forecast to 2022",

The global microsegmentation market size is expected to grow from USD 670.3 Million in 2017 to USD 2,038.7 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 24.9% during the forecast period. The major factors driving the growth of the microsegmentation market include increase in network connectivity and data theft, and maintaining safe third-party access.

Browse and in-depth TOC on “Microsegmentation Market”

85 - Tables                                              

43 - Figures

142 - Pages    

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The consulting and advisory services segment is expected to have the largest market size in the microsegmentation market during the forecast period.

Counseling and warning administrations assume a huge job in accomplishing the zero trust security display through microsegmentation. They give key bits of knowledge to the operational, authoritative, and innovative change to different verticals relying on their necessities. In addition, these administrations offer an imaginative administration layer structure to help set up a cutting edge security design.

The managed services segment is expected to grow at the highest CAGR during the forecast period.

Overseen administrations are in effect quickly embraced by created nations, for example, the US and Canada. Overseen administrations assume a tremendous job in the sending of microsegmentation programming as indicated by prerequisite of customer. Overseen administrations incorporate all the pre-and post-organization questions and needs of the clients. These administrations may incorporate arranging, structuring, testing, coordination, upkeep, and backing. These administrations are primarily re-appropriated for on-time conveyance, decrease of capital use, working costs.

The Banking, Financial Services, and Insurance (BFSI) vertical is estimated to have the second largest market size in 2017.

The security arrangements help budgetary specialist co-ops ensure their clients, meet government and industry consistence norms, encourage security reviewing, and stay away from the harm to notoriety brought about by information breaks. This part is constantly redesigning its preparing and exchange advancements and expects start to finish security answers for upgrade activities against both inside and outside dangers.

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North America is expected to have the largest market share in the microsegmentation market during the forecast period. North America is relied upon to have the biggest market share and rule the microsegmentation market amid the gauge time frame. The area has the nearness of major feasible and entrenched economies who put significantly in Research and Development (R&D) exercises, in this way adding to the advancement of new security arrangements.

The district contains nations, for example, the US and Canada, which are seeing the huge appropriation of microsegmentation arrangements. Increment in ransomware assaults on the associated gadgets, developing utilization of security virtualization and distributed computing, and expanding requirement for security upgradation are a portion of the central point driving the development of the North America market. The straightforwardness in guidelines and critical government spending has impelled advancements in the district.

The real merchants in the microsegmentation market incorporate VMware (US), Cisco (US), Unisys (US), vArmour (US), Juniper Networks (US), OPAQ Networks (US), ShieldX Networks (US), Cloudvisory (US), Extra Hop (US), GuardiCore (MEA), Bracket Computing (US), illumio (US), Nutanix (US), and August Schell (US).

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[swapnali3]

The Global Microsegmentation Software Market is expected to grow from USD +670.3 million in 2017 to USD +2,038.7 million by 2022, at a CAGR of +24.9% during the forecast period.

[palebearwombat-blog]

Global Microsegmentation Software Market 2017 Top Players are Cisco, Unisys, vArmour, Nutanix, Cloudvisory

Qyresearch Reports include new market research report Global Microsegmentation Software Market Size, Status and Forecast 2022 to its huge collection of research reports.

The trajectory of the global Microsegmentation Software market is shaped by a variety of macro- and micro- economic factors, an elaborate account of which is given in the in-depth report. The report offers an assessment of evolutionary trends, notable opportunities, and emerging prospects in various segments across major regions. An insight into the global as well regional competitive landscape includes a detailed profiling of various emerging players and new entrants and an evaluation of the key strategies adopted by them to gain a better foothold in the global Microsegmentation Software market. The assessment also includes highlighting the revenue size of prominent players and their scheduled product launches to consolidate their positions in various regions. The research also offers an overview of the regulatory landscape prevailing in various countries and their impact on the prominence of the current segments in the coming years. In addition, it takes a closer look at the recent investment in research and development activities expected to change the course of the global Microsegmentation Software market during the forecast period.

The report on the global Microsegmentation Software market is prepared with valuable inputs from a wide spectrum of primary sources such as interviews and discussions with opinion leaders. In addition, the report bases its findings on an extensive range number of carefully-chosen secondary sources, including industry journals, annual reports, and investor presentations. The report evaluates various trends covered by these sources and evaluates the growth of the global Microsegmentation Software market on these lines. Industry leaders and executives, such as CEOs and CXOs looking for clear insights on trends to capitalize upon will find the insights offered in the study indispensable.

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The report takes a granular analysis of recent technological development initiatives and captures emerging investment trends supporting these in various regions. The evidence-based insights offered in the study help stakeholder gain a better understanding of the market dynamics and lucrative avenues.

Table of Contents

Global Microsegmentation Software Market Size, Status and Forecast 2022 1 Industry Overview of Microsegmentation Software 1.1 Microsegmentation Software Market Overview 1.1.1 Microsegmentation Software Product Scope 1.1.2 Market Status and Outlook

2 Global Microsegmentation Software Competition Analysis by Players 2.1 Microsegmentation Software Market Size (Value) by Players (2016 and 2017) 2.2 Competitive Status and Trend 2.2.1 Market Concentration Rate 2.2.2 Product/Service Differences 2.2.3 New Entrants 2.2.4 The Technology Trends in Future

3 Company (Top Players) Profiles 3.1 VMware (US) 3.1.1 Company Profile 3.1.2 Main Business/Business Overview 3.1.3 Products, Services and Solutions 3.1.4 Microsegmentation Software Revenue (Value) (2012-2017) 3.1.5 Recent Developments

Complete table of content is available at: https://www.qyresearchreports.com/report/global-microsegmentation-software-market-size-status-and-forecast-2022.htm/toc

List of Tables and Figures

Figure Microsegmentation Software Product Scope Figure Global Microsegmentation Software Market Size (Million USD) (2012-2017) Table Global Microsegmentation Software Market Size (Million USD) and Growth Rate by Regions (2012-2017) Figure Global Microsegmentation Software Market Share by Regions in 2016 Figure United States Microsegmentation Software Market Size (Million USD) and Growth Rate by Regions (2012-2017) Figure EU Microsegmentation Software Market Size (Million USD) and Growth Rate by Regions (2012-2017) Figure Japan Microsegmentation Software Market Size (Million USD) and Growth Rate by Regions (2012-2017) Figure China Microsegmentation Software Market Size (Million USD) and Growth Rate by Regions (2012-2017) Figure India Microsegmentation Software Market Size (Million USD) and Growth Rate by Regions (2012-2017) Figure Southeast Asia Microsegmentation Software Market Size (Million USD) and Growth Rate by Regions (2012-2017) Figure Global Microsegmentation Software Market Share by Type in 2016 Figure Network Security Market Size (Million USD) and Growth Rate (2012-2017)

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[robjackson616-blog]

Global Microsegmentation Software Market Size, Status and Forecast 2022 is latest research study released by HTF MI evaluating the market, highlighting opportunities, risk side analysis, and leveraged with strategic and tactical decision-making support. The study provides information on market trends and development, drivers, capacities, technologies, and on the changing capital structure of the Global Microsegmentation Software Market.

[cyberparse]

Google reveals its servers all contain custom security silicon

http://cyberparse.co.uk/2017/01/16/google-reveals-its-servers-all-contain-custom-security-silicon/ https://i0.wp.com/cyberparse.co.uk/wp-content/uploads/2016/04/security-binary-pd-898757.jpg?fit=3888%2C2592

Even the servers it colocates (!) says new docu revealing Alphabet sub’s security secrets Google has published a Infrastructure Security Design Overview that explains how it secures the cloud it uses for its own operations and for public cloud services. Revealed last Friday, the document outlines six layers of security and reveals some interesting factoids about the Alphabet subsidiary’s operations, none more so than the revelation that “We also design custom chips, including a hardware security chip that is currently being deployed on both servers and peripherals.These chips allow us to securely identify and authenticate legitimate Google devices at the hardware level.”

That silicon works alongside cryptographic signatures employed “over low-level components like the BIOS, bootloader, kernel, and base operating system image.” “These signatures can be validated during each boot or update,” the document says, adding that “The components are all Google-controlled, built, and hardened. With each new generation of hardware we strive to continually improve security: for example, depending on the generation of server design, we root the trust of the boot chain in either a lockable firmware chip, a microcontroller running Google-written security code, or the above mentioned Google-designed security chip. Another interesting nugget of information the document reveals is that “Google additionally hosts some servers in third-party data centers,” a fact mentioned so the company can explain that when it works with others’ bit barns it puts in place its own layers of physical security such as “independent biometric identification systems, cameras, and metal detectors.” The document goes on to explain that Google’s fleet of applications and services encrypt data before it is written to disk, to make it harder for malicious disk firmware to access data. Disks get the following treatment:

“We enable hardware encryption support in our hard drives and SSDs and meticulously track each drive through its lifecycle.Before a decommissioned encrypted storage device can physically leave our custody, it is cleaned using a multi-step process that includes two independent verifications.Devices that do not pass this wiping procedure are physically destroyed (e.g. shredded) on-premise.”

Elsewhere, the document describes client security which starts with universal second factor authentication and then sees the company scan employees’ devices to “ensure that the operating system images for these client devices are up-to-date with security patches and … control the applications that can be installed.” “We additionally have systems for scanning user-installed apps, downloads, browser extensions, and content browsed from the web for suitability on corp clients.” “Being on the corporate LAN is not our primary mechanism for granting access privileges. We instead use application-level access management controls which allow us to expose internal applications to only specific users when they are coming from a correctly managed device and from expected networks and geographic locations.” Also explained are the automated and manual code review techniques Google uses to detect bugs in software its developers write.The manual reviews “… are conducted by a team that includes experts across web security, cryptography, and operating system security.The reviews can also result in new security library features and new fuzzers that can then be applied to other future products.” There’s also this description of the lengths Google goes to in its quest to protect source code:

“Google’s source code is stored in a central repository where both current and past versions of the service are auditable.The infrastructure can additionally be configured to require that a service’s binaries be built from specific reviewed, checked in, and tested source code.Such code reviews require inspection and approval from at least one engineer other than the author, and the system enforces that code modifications to any system must be approved by the owners of that system.These requirements limit the ability of an insider or adversary to make malicious modifications to source code and also provide a forensic trail from a service back to its source.

There’s plenty more in the document, like news that Google’s public cloud runs virtual machines in a custom version of the KVM hypervisor.Google also boasts in the document that it is “the largest submitter of CVEs and security bug fixes for the Linux KVM hypervisor.” We also learn that the Google cloud rests on the same security services as the rest of its offerings. There’s also an explanation of the company’s internal service identity and access management scheme, detailed in the diagram below, plus news that “We do not rely on internal network segmentation or firewalling as our primary security mechanisms”.That’s a little at odds with current interest in network virtualisation and microsegmentation. Google’s Service Identity and Access Management scheme

The company’s also published documents detailing each aspect of security discussed in the main document.They’re listed and linked to at the end of the master document. ® Sponsored: Customer Identity and Access Management

Source InfoWorld Security