AI is transforming industries, and networking and security are no exceptions. Whether businesses consume AI tools as a service or integrate them directly into their infrastructure for cost savings and control, the impact of AI is undeniable. Organizations worldwide are rapidly adopting AI-powered solutions to optimize network operations, automate security responses, and improve overall efficiency.
But one glaring issue remains: After acquiring AI infrastructure, many organizations find themselves asking, “Now what?”
Despite the excitement around AI’s potential, there is a significant lack of clear, actionable guidance on how to deploy, recover, and secure AI-powered networks. This gap in best practices and implementation strategies leaves businesses vulnerable to operational inefficiencies, unforeseen challenges, and security risks.
So, how can organizations harness AI’s potential and ensure the resilience of their multi-million-dollar investment? Here are lessons learned from enterprises that have successfully implemented AI in their IT environments, along with a downloadable best practices guide for deploying, recovering, and securing AI data centers.
Understanding AI’s Role in Network Management
Like autonomous driving, AI adoption in network management operates at different levels:
No AI: Traditional, manual network operations.
AI consuming logs for alerts: Basic monitoring and reporting.
AI consuming logs with broader data access: Enhanced insights for more informed decision-making.
AI-driven network decision-making in specific areas: AI autonomously manages certain aspects of the network.
AI managing all IT infrastructure: A fully autonomous, AI-powered network.
As with autonomous vehicles, human oversight remains crucial. There must always be a way for administrators to take control in case AI makes an error. The key to ensuring uninterrupted access and oversight is by using an Isolated Management Infrastructure (IMI) — a separate, dedicated management layer designed for resilience and security.
Why an Isolated Management Infrastructure (IMI) is Essential to AI Resilience
AI-driven networks need a dedicated infrastructure that enables human operators to intervene when necessary. Here are a few reasons why:
Security and Isolation: What if AI induces a vulnerability or disruption? IMI is separate from production, giving teams a lifeline to gain management access and fix the problem.
Network Recovery & Control: What if AI misconfigures the network? IMI allows human administrators to override AI decisions and roll back to the last good configuration.
Resilience Against Threats: What if ransomware strikes? IMI’s isolation keeps admin access safe from attack and allows teams to fight back using an Isolated Recovery Environment.
Diagram: Isolated Management Infrastructure provides a separate, secure environment for admins to manage and automate AI infrastructure.
IMI is also becoming the standard called for by regulatory bodies. CISA and DORA mandate separate, air-gapped network infrastructures to support zero-trust security frameworks and strengthen resilience. The major roadblock that most organizations face, however, is that successfully implementing an IMI requires technical expertise and a strategic approach.
Challenges in Deploying an IMI
Organizations looking to build a robust, isolated management network must navigate several challenges:
High Complexity & Cost: Traditional approaches require multiple devices (routers, VPNs, serial consoles, 5G WAN, etc.), leading to higher costs and integration challenges.
Manual Network Management: Some organizations still rely on IT personnel or truck rolls to resolve issues, which increases costs and forces teams to focus on operations rather than improving business value.
Machine-Speed Operations vs. Human Response Times: AI operates at unprecedented speeds, making manual intervention impractical without an automated and isolated management solution.
Extremely Limited Space: AI deployments are “packed to the gills” with compute nodes, storage, networking, power/cooling, and management gear, and there is often no room to deploy the 6+ devices needed for a proper IMI.
The Blueprint for AI-Operated Networks
ZPE Systems has collaborated with leading enterprises to define best practices for implementing an IMI. These best practices are described in the downloadable guide below. Here’s a snapshot of some key components:
1. A Unified Hardware or Virtual Device
A central out-of-band management platform for both physical and cloud infrastructure.
Open, extensible architecture to run critical applications securely.
2. Comprehensive Interface Support
Traditional RS-232 serial console, USB, and OCP interfaces for network recovery.
Serial console access ensures recovery even if AI misconfigures IP routing or network addresses.
3. Switchable Power Distribution Units (PDUs)
Enables remote power cycling to recover hardware that becomes unresponsive during software updates.
4. An Integrated Software Stack
Historically, enterprises combined Juniper routers, Dell switches, Cradlepoint 4G modems, serial consoles, HP jump servers, Palo Alto Firewalls, and SD-WAN for remote access.
ZPE Systems consolidates these functions into a single, cohesive solution with Nodegrid out-of-band management.
5. Flexible Management Options
Supports both on-premises and cloud-based management solutions for varying operational needs.
AI-driven infrastructure is quickly becoming the industry standard. Organizations that integrate AI with an Isolated Management Infrastructure will gain a competitive edge while ensuring resilience, security, and operational control.
To help you implement IMI, ZPE Systems has developed a comprehensive Best Practices Guide for Deploying Nvidia DGX and Other AI Pods. This guide outlines the technical success criteria and key steps required to build a secure, AI-operated network.
Download the guide and take the next step in AI-driven network resilience.
In IT infrastructure management, two essential tools often come into play: KVM switches and serial consoles. While they may seem similar at first glance, understanding their distinct functionalities is crucial for system administrators. In this guide, we’ll break down their differences, use cases, and how they can work together for optimal infrastructure management.
What is a KVM Switch?
A KVM (Keyboard, Video, Mouse) switch is a hardware device that allows users to control multiple computers from a single keyboard, monitor, and mouse. This setup eliminates the need for multiple peripherals, streamlining IT operations.
Benefits of using a KVM switch:
Centralized Management: Control multiple servers from one console.
Space & Cost Efficiency: Reduces clutter and hardware costs in server rooms.
Graphical Interface Access: Enables GUI-based management for various operating systems.
Remote Management: Some KVM switches offer IP-based remote access for IT teams.
KVM switches are ideal for data centers, server management, and IT environments where GUI access is necessary.
What is a Serial Console?
A serial console, also called a console server, provides remote access to devices via serial ports. It is primarily used to manage network equipment such as routers, switches, and firewalls — especially when network access is unavailable.
Command-Line Interface (CLI) Support: Essential for configuring network devices.
Improved Security: Enables remote troubleshooting without exposing devices to the main network.
Multi-Vendor Support: Works with various networking and industrial hardware.
Serial consoles are indispensable for network management, disaster recovery, and remote troubleshooting of mission-critical systems. They provide low-level access to equipment and serve as an administrative lifeline when the primary network is not working properly.
KVM Switch vs. Serial Console: A Side-By-Side Comparison
Feature
Access Type
Primary Use Case
Connectivity
Best For
Network Dependency
KVM Switch
Graphical (GUI) access
Managing multiple computers
Video & USB interfaces
Servers, desktops, workstations
Requires active network/IP-based models available
Feature
Access Type
Primary Use Case
Connectivity
Best For
Network Dependency
Serial Console
Command-line (CLI) access
Managing network devices
Serial ports (RS-232, USB)
Routers, switches, firewalls
Works without network access
When to Use a KVM Switch vs. Serial Console
Choose a KVM switch if:
You need to manage multiple servers with a graphical interface.
Your IT infrastructure includes Windows, Linux, or other GUI-based systems.
Remote desktop-style management is required.
Choose a serial console if:
You need to configure network hardware like routers and firewalls.
Out-of-band management is crucial for your IT setup.
You need access when the primary network fails.
Combining KVM Switches and Serial Consoles for More Capability
Many IT environments benefit from using both KVM switches and serial consoles in tandem. This setup allows IT teams to efficiently manage both graphical and command-line-based systems, ensuring comprehensive remote access and troubleshooting capabilities. The drawback to this is that it requires deploying more devices, which not only increases costs, but also increases complexity and workloads for IT teams.
Simplify IT Management with ZPE Systems’ Nodegrid Devices
Why choose between a KVM switch and a serial console when you can have both in a single device? ZPE Systems’ Nodegrid solutions combine KVM and serial console functionality into an all-in-one platform, simplifying IT infrastructure management.
Why choose Nodegrid?
Unified Management: Access servers, routers, switches, and more from one interface.
Enhanced Security: Secure out-of-band management with built-in Zero Trust architecture.
Remote Access: Control your entire infrastructure from anywhere, even during network failures.
Scalability: Streamline operations for edge, branch, and data center environments.
Upgrade your IT management with the versatile, secure, and efficient out-of-band solution. Browse our collection of products that combine KVM and serial console functionalities, and get in touch for a free demo.
See KVM & Serial Console Functionality in This Tech Demo
Jordan Baker (Tech Writer) shows how to migrate your existing solution to Nodegrid, and gives a 5-minute tech demo of what it’s like to manage serial connections, PDUs, and KVM switches, all from one interface. Watch now and visit our serial console migration page for special offers.
Network reliability and security are mission-critical for organizations. Yet, relying solely on in-band networks for monitoring and management creates a significant risk. When the primary network experiences an outage or breach, IT teams need to scramble to regain control. Out-of-band monitoringoffers a dedicated pathway for monitoring and managing devices, so teams have reliable, always-available access to ensure resilience. But, how does out-of-band monitoring work? What can it monitor? Why is it essential to a network resilience strategy? Let’s find out.
What is Out-of-Band Monitoring and How Does it Work?
Out-of-band monitoring is a network management strategy that uses a dedicated management network, separate from the production network, to monitor and manage critical infrastructure. Whereas in-band monitoring relies on the same data network used by users and applications, out-of-band monitoring remains isolated and operational even if the main network is down.
How does out-of-band monitoring connect to devices?
Console Access via Serial Ports: Out-of-band monitoring uses serial console ports on routers, switches, firewalls, and servers to provide direct access to the device’s command-line interface (CLI). This connection bypasses the primary network entirely.
Dedicated Management Interfaces: Many modern devices come with a dedicated management Ethernet port (e.g., Cisco’s management interface or HP iLO for servers). These ports are linked to an out-of-band network, allowing secure remote access.
Secure Remote Access Gateways: Centralized console servers or remote access gateways aggregate connections to multiple devices, making it easy to manage a large number of endpoints from a single interface.
Teams can gain remote access to out-of-band console servers via dedicated cellular, ISP, Starlink, or other connection that is separate from the main network.
Image: An out-of-band network provides dedicated connectivity that’s separate from the main network. NOC admins can gain access to out-of-band console servers via cellular, dial-up, ISP, or other connection, and manage all data center/branch devices connected to the console servers.
What can out-of-band monitor and manage?
Network Device Status: Real-time monitoring of routers, switches, and firewalls for availability, performance, and errors.
Power Systems: Monitoring and managing power distribution units (PDUs) to ensure stable power, perform remote power cycling, and maintain updated firmware.
Server Health: Tracking CPU, memory, disk usage, and hardware diagnostics for servers through out-of-band management interfaces like IPMI, Dell iDRAC, or HP iLO.
Environmental Conditions: Temperature, humidity, and physical security sensors can be monitored to detect and respond to environmental threats in data centers and remote sites.
Network Connectivity: Ensures WAN links, including primary and backup connections (cellular or satellite), are functioning properly.
How Out-of-Band Monitoring Improves Resilience
Out-of-band monitoring significantly enhances network resilience by providing independent access to critical infrastructure. With transparency into device health, network performance, and other systems, teams can stem issues before they have a chance to develop into outages or security breaches. If any problems do occur on the main network, this out-of-band lifeline lets teams instantly respond rather than forcing them to dispatch on-site technicians.
Always-On Access Out-of-band networks operate independently from production traffic, ensuring that administrators can maintain visibility and control even when the primary network is congested or down.
Incident Recovery and Diagnostics When the primary network is compromised, out-of-band allows IT teams to perform root cause analysis, reconfigure devices, and restore services without relying on affected in-band connectivity.
Example: During a DDoS attack, out-of-band provides a clean path to troubleshoot and block the attack at the firewall.
Example: If a firmware update causes a network device to become unresponsive, the out-of-band console allows administrators to roll back changes or restore from backup.
Secure and Segmented Access Out-of-band isolates management traffic from business data, reducing the attack surface and preventing lateral movement by attackers. Combined with multi-factor authentication (MFA), access control lists (ACLs), and encrypted tunnels, out-of-band becomes a secure channel for managing sensitive infrastructure.
Proactive Monitoring and Automation Advanced OOB solutions enable proactive monitoring of device health and predictive failure analysis. Integrated automation tools can trigger alerts, backups, or failover mechanisms when certain thresholds are reached.
Secure Out-of-Band Monitoring with ZPE Systems’ Nodegrid Platform
When implementing out-of-band monitoring, ZPE Systems’ Nodegrid platform offers a secure, vendor-agnostic solution designed for modern IT environments.
Why Nodegrid Stands Out:
Universal Compatibility: Nodegrid supports a wide range of network devices and servers, integrating with Cisco, Juniper, Dell, Palo Alto Networks, and more.
Consolidated Devices: Nodegrid is a multi-function, drop-in solution that replaces six or more traditional management devices, including servers, routers, switches, cellular, and others.
Built-In Cellular and Starlink Failover: Ensure remote sites stay connected through cellular 4G/5G or satellite (Starlink) connections when traditional WAN links fail.
Centralized Management: Nodegrid provides a unified management interface that enables IT teams to monitor, manage, and automate infrastructure from a single dashboard.
Image: ZPE Cloud enables data collection and analyses for out-of-band monitoring, allowing users to monitor infrastructure metrics, visualize trends, and take a proactive approach to maintaining uptime.
Out-of-band monitoring is essential for any organization prioritizing uptime and security. The Nodegrid platform by ZPE Systems offers secure, scalable solutions like the 96-port Nodegrid Serial Console Plus for hyperscale data centers and the Nodegrid Gate SR for remote sites. With support for automation, APIs, and custom alerts, Nodegrid simplifies out-of-band monitoring for complex networks while ensuring continuous control, even during outages.
Explore Nodegrid for Drop-In Out-of-Band Monitoring
See why Nodegrid is the drop-in out-of-band monitoring solution trusted by hyperscalers, telecom, retail, and hundreds of global organizations. Request a demo today.
In a recent article, Y Combinator announced its search for startups aiming to eliminate human intervention in data center development and operation. While one half of this vision seems focused on automating the design and construction of data centers, the other half – focused on fully automating operations (a.k.a. “lights-out”) – is already a reality. ZPE Systems and Legrand are enabling enterprises to achieve this kind of operation by providing the best practices that are already in use in hyperscale data centers for lights-out management.
The Need for Lights-Out Data Centers
The growth of cloud computing, edge deployments, and AI-driven workloads means data centers need to be as efficient, scalable, and resilient as possible. The challenge is that because there is so much infrastructure to manage, the buildout and operation of these data centers becomes very costly and time consuming.
Diane Hu, a YC group partner who previously worked in augmented reality and data science, says, “Hyperscale data center projects take many years to complete. We need more data centers that are created faster and cheaper to build out the infrastructure needed for AI progress. Whether it be in power infrastructure, cooling, procurement of all materials, or project management.”
Dalton Caldwell, a YC managing director who also cofounded App.net, adds, “Software is going to handle all aspects of planning and building a new data center or warehouse. This can include site selection, construction, set up, and ongoing management. They’re going to be what’s called lights-out. There’s going to be robots, autonomously operating 24/7. We want to fund startups to help create this vision.”
In terms of ongoing management and operations, bringing this vision to life will require organizations to overcome several significant problems:
Rising Operational Costs: Staffing and maintaining on-site engineers 24/7 is costly. Labor expenses, training, and turnover increase operational overhead.
Human Error and Downtime: Human error is the leading cause of downtime, so having manual processes often leads to costly outages caused by typos, misconfigurations, and slow response times.
Security Threats: Physical access to data centers increases the risk of insider threats, breaches, and unauthorized interventions.
Remote Site Management: Managing geographically distributed data centers and edge locations requires staff to be on-site. What’s needed is a scalable and efficient solution that lets staff remotely perform every job, outside of physically installing equipment.
Sustainability and Energy Efficiency: On-site workers have specific heating/cooling needs that must be met in order to comfortably perform their jobs. Reducing human presence in data centers enables better energy management, which can lower carbon footprints and reduce cooling requirements.
The Roadblocks to Lights-Out Data Centers
Despite the obvious benefits, organizations struggle to implement fully autonomous data center operations. The obstacles include:
Legacy Infrastructure: Many enterprises still rely on outdated equipment that lacks the necessary integrations for automation and remote control. Adding functions or capabilities typically means deploying more physical boxes, which increases costs and complexity.
Network Resilience and Connectivity: Traditional in-band network management fails during outages, making it difficult to troubleshoot and recover remotely. Without complete separation of the management network from production networks, organizations are unable to achieve true resilience from errors, outages, and breaches.
Integration Challenges: Implementing AI-driven automation, OOB management, and cybersecurity protections requires seamless interoperability between different vendors’ solutions.
Security Concerns: A fully automated data center must have robust access controls, zero-trust security frameworks, and remote threat mitigation capabilities.
Skill Gaps: The shift to automation necessitates retraining IT staff, who may be unfamiliar with the latest technologies required to maintain a hands-off data center.
Image: The traditional management approach relies on production assets. This makes it impossible to achieve resilience, because production failures cut off remote admin access.
How ZPE Systems is Powering Lights-Out Operations
ZPE Systems is already helping companies overcome these challenges and transition to lights-out data center operations. As part of Legrand, ZPE is a key component in a total solution offering that includes everything from cabinets and containment to power distribution and remote access. By leveraging out-of-band management, intelligent automation, and zero-trust security, ZPE enables enterprises to manage their infrastructure remotely and securely.
Image: ZPE Systems’ Nodegrid creates an Isolated Management Infrastructure. This gives admins secure remote access, even when the production network fails or suffers an attack.
Key benefits of this management infrastructure include:
Reliable Remote Access: ZPE’s OOB solutions ensure secure access to critical infrastructure even when primary networks fail. This is made possible by ZPE’s Isolated Management Infrastructure (IMI), which creates a fully separate management network. This single-box solution helps organizations achieve lights-out operations without device sprawl.
Automated Remediation: ZPE’s platform hosts third party applications, Docker containers, and AI and automation solutions. Organizations can leverage data about device health, telemetry, environmentals, and in-band performance, to resolve issues fast and prevent downtime.
Hardened Security: ZPE’s solutions are built with security in mind, from local MFA, to self-encrypted disk and signed OS. ZPE also has the most security certifications and validations, including SOC2 Type 2, FIPS 140-3, and ISO27001. Read our full supply chain security assurance pdf.
Multi-Vendor Integration: ZPE is the only drop-in solution that works across diverse environments, regardless of which vendor solutions are already in place. This makes it easy to deploy IMI and the resilience architecture necessary for achieving lights-out operations.
Comprehensive Data Center Solutions: With Legrand’s full suite of data center infrastructure, organizations benefit from a fully integrated approach that ensures efficiency, scalability, and resilience.
Lights-out data centers are an achievable reality. By addressing the key challenges and leveraging advanced remote management solutions, enterprises can reduce operational costs, enhance security, and improve efficiency. As part of Legrand, ZPE Systems continues to lead the charge in enabling this transformation for organizations across the globe.
See How Vapor IO Achieved Lights-Out Operations with ZPE Systems
Vapor IO is re-architecting the internet. They deploy micro data centers at the network edge, serving markets across the U.S. and Europe. When they needed to achieve true lights-out operations, they chose ZPE Systems’ Nodegrid. Find out how this solution reduced deployment times to just one hour and delivered additional time and cost savings. Download the full case study below.
Artificial intelligence is transforming every corner of industry. Machine learning algorithms are optimizing global logistics, while generative AI tools like ChatGPT are reshaping everyday work and communications. Organizations are rapidly adopting AI, with the global AI market expected to reach $826 billion by 2030, according to Statista. While this growth is reshaping operations and outcomes for organizations in every industry, it brings significant challenges for managing the infrastructure that supports AI workloads.
The Rapid Growth of AI Adoption
AI is no longer a technology that lives only in science fiction. It’s real, and it has quickly become crucial to business strategy and the overall direction of many industries. Gartner reports that 70% of enterprise executives are actively exploring generative AI for their organizations, and McKinsey highlights that 72% of companies have already adopted AI in at least one business function.
It’s easy to understand why organizations are rapidly adopting AI. Here are a few examples of how AI is transforming industries:
Healthcare: AI-driven diagnostic tools have improved disease detection rates by up to 30x, while drug discovery timelines are being slashed from years to months.
Retail: E-commerce platforms use AI to power personalized recommendations, leading to a revenue increase of 5-25%.
Manufacturing: AI in predictive maintenance can help increase productivity by 25%, lower maintenance costs by 25%, and reduce machine downtime by 70%.
AI is a powerful tool that can bring profound outcomes wherever it’s used. But it requires a sophisticated infrastructure of power distribution, cooling systems, computing, GPUs, servers, and networking gear, and the challenge lies in managing this infrastructure.
Infrastructure Challenges Unique to AI
AI environments are complex, with workloads that are both resource-intensive and latency-sensitive. This means organizations face several challenges that are unique to AI:
Skyrocketing Energy Demands: AI racks consume between 40kW and 200kW of power, which is 10x more than traditional IT equipment. Energy efficiency in the AI data center is a top priority, especially as data centers account for 1% of global electricity consumption.
Cost of Downtime: AI systems are especially vulnerable to interruptions, which can cause a ripple effect and lead to high costs. A single server failure can disrupt entire model training processes, costing enterprises $9,000 per minute in downtime, as estimated by Uptime Institute.
Cybersecurity Risks: AI processes sensitive data, making AI data centers prime targets for attack. Sophos reports that in 2024, 59% of organizations suffered a ransomware attack, and the average cost to recover (excluding ransom payment) was $2.73 million.
Operational Complexity: AI environments rely on a diverse set of hardware and software systems. Monitoring and managing these components effectively requires real-time visibility into thermal conditions, humidity, particulates, and other environmental and device-related factors.
The Role of Out-of-Band Management in AI
Out-of-band (OOB) management is a must-have for organizations scaling their AI capabilities. Unlike traditional in-band systems that rely on the production network, OOB operates independently to give teams uninterrupted access and control. They can remotely perform monitoring and maintenance tasks to AI infrastructure, troubleshooting, and complete system recovery even if the production network goes offline.
How OOB Management Solves Key Challenges:
Minimized Downtime: With OOB, IT teams can drastically reduce downtime by troubleshooting issues remotely rather than dispatching teams on-site.
Energy Efficiency: Real-time monitoring and optimization of power distribution enable organizations to eliminate zombie servers and other inefficiencies.
Enhanced Security: OOB systems isolate management traffic from production networks per CISA’s best practice recommendations, which reduces the attack surface and mitigates cybersecurity risks.
Operational Efficiency: Remote monitoring via OOB offers a complete view of environmental conditions and device health, so teams can operate proactively and prevent issues before failures happen.
Use Cases: Out-of-Band Management for AI
There’s no shortage of use cases for AI, but organizations often overlook implementing out-of-band in their environment. Aside from using OOB in AI data centers, here are some real-world use cases of out-of-band management for AI.
1. Autonomous Vehicle R&D
Developers of self-driving technology find it difficult to manage their high-density AI clusters, especially because outages delay testing and development. By implementing OOB management, these developers can reduce recovery times from hours to minutes and shorten development timelines.
2. Financial Services Firms
Banks deploy AI to detect and combat fraud, but these power-hungry systems often lead to inefficient energy usage in the data center. With OOB management, they can gain transparency into GPU and CPU utilization. Not only can they eliminate energy waste, but they can optimize resources to improve model processing speeds.
3. University AI Labs
Universities run AI research on supercomputers, but this strains the underlying infrastructure with high temperatures that can cause failures. OOB management can provide real-time visibility into air temperature, device fan speed, and cooling systems to prevent infrastructure failures.
Download Our Guide, Solving AI Infrastructure Challenges with Out-of-Band Management
Out-of-band management is the key to having reliable, high-performing AI infrastructure. But what does it look like? What devices does it work with? How do you implement it?
Download our whitepaper Solving AI Infrastructure Challenges with Out-of-Band Management for answers. You’ll also get Nvidia’s SuperPOD reference design along with a list of devices that integrate with out-of-band. Click the button for your instant download.
Handling sensitive information is a responsibility shared by so many organizations. Ensuring the security of data, whether in transit or at rest, is not only critical for maintaining the trust of end users and customers, but is often a regulatory requirement. One of the most reliable ways to secure data within network infrastructure is by implementing FIPS 140-3-certified cryptographic solutions. This certification, which was developed by the National Institute of Standards and Technology (NIST), serves as a benchmark for robust encryption practices, enabling organizations to meet high security standards and ensure regulatory compliance.
Let’s explore what it means to have FIPS 140-3 certification, why it matters, and its key applications in network infrastructure.
What is FIPS 140-3 Certification?
The Federal Information Processing Standard (FIPS) 140-3 certification is a stringent, government-endorsed security standard that sets guidelines for cryptographic modules used to protect sensitive data. It includes requirements for securing cryptographic functions within hardware, software, and firmware. The certification process rigorously tests cryptographic solutions for security and reliability, ensuring that they meet specific criteria in data encryption, access control, and physical security.
There are four levels of FIPS 140-3 certification, each adding layers of protection to help secure information in various environments:
Level 1: Ensures basic encryption standards.
Level 2: Adds tamper-evident protection and role-based authentication.
Level 3: Provides advanced tamper-resistance and strong user authentication.
Level 4: Offers the highest level of security, including physical defenses against tampering.
FIPS 140-3 certification ensures that an organization’s network infrastructure meets high standards for cryptographic security. This is important for protecting sensitive information against cyber threats as well as fulfilling regulatory requirements.
Why FIPS 140-3 Certification Matters
1. Meeting Regulatory Compliance Requirements
FIPS 140-3 certification is often required by regulatory bodies, especially in sectors like government/defense, healthcare, and finance, where sensitive data must be protected by law. Here are a few industry-specific regulations that FIPS 140-3-certified modules help with:
Defense: DFARS, NIST SP 800-171
Healthcare: HIPAA
Finance: PCI-DSS
Energy: NERC CIP
Education: FERPA
Compliance with FIPS 140-3 also makes it easier for organizations to meet audit requirements, reducing the risk of fines or penalties for security lapses.
2. Strengthening Customer Trust
End users and customers expect that their data is handled with care and protected against breaches. By using FIPS 140-3-certified solutions, organizations can demonstrate their commitment to securing customer data with recognized, government-endorsed security standards. FIPS certification is a valuable trust signal, showing customers that their information is being managed with the highest level of protection available.
3. Protecting Against Emerging Cyber Threats
Relying on uncertified or outdated cryptographic solutions increases the risk of data breaches. FIPS 140-3-certified solutions are tested to withstand advanced attacks and tampering, which is an important safeguard against threats that continue to evolve in complexity. Certified modules help prevent unauthorized access to sensitive data, whether through intercepted communications, phishing, or other cyber threats.
FIPS 140-3 certification gives assurance, especially for organizations that handle high volumes of data, that they have adequate encryption to protect against sophisticated attacks.
4. Ensuring Business Continuity and Operational Resilience
According to IBM’s Cost of a Data Breach Report 2024, data breaches now cost $4.88 million (global average), with healthcare being the most costly at $9.8 million per breach. The financial impact is staggering, but the ongoing operational disruption and recovery efforts determine whether an organization can fully bounce back from a breach. With FIPS 140-3 certification, there’s an added layer of resilience to an organization’s infrastructure, which reduces the likelihood of breaches and ensures a secure base for maintaining continuity (such as through an Isolated Recovery Environment). By implementing FIPS-certified encryption, businesses can minimize downtime, maintain access to encrypted systems, and recover more smoothly from potential incidents.
5. Gaining a Competitive Advantage in Security-Conscious Markets
Organizations that follow rigorous data security standards are more likely to gain the trust of clients, stakeholders, and customers, especially in industries where security is non-negotiable. Organizations that adopt FIPS 140-3-certified infrastructure can differentiate themselves as having a reputation for security, which can be a competitive advantage that attracts customers and partners who value data protection.
Key Applications of FIPS 140-3 in Network Infrastructure
For organizations managing large amounts of customer data, FIPS 140-3-certified solutions can be applied to several critical areas within network infrastructure:
Network Firewalls and VPNs: FIPS-certified encryption ensures that data moving across networks remains private, protecting it from interception by unauthorized users.
Access Control Systems: Identity-based access controls with FIPS-certified modules add another layer of security to protect against unauthorized access to sensitive data.
Out-of-Band Management: Using FIPS 140-3-certified encryption in OOB management ensures the same stringent security level for OOB traffic as for in-band network traffic.
Data Storage and Backup: FIPS-certified encryption secures data at rest, protecting stored customer information from unauthorized access or tampering.
Cloud and Hybrid Environments: For companies using cloud or hybrid environments, FIPS-certified encryption helps protect data across multiple infrastructure layers, ensuring consistent security whether data resides on-premises or in the cloud.
Discuss FIPS 140-3 With Our Network Infrastructure Experts
FIPS 140-3 certification gives organizations the ability to reassure customers, meet compliance requirements, and protect critical data across every layer of the network. Get in touch with our network infrastructure experts to discuss FIPS 140-3, isolated management infrastructure, and other resilience best practices.
Read about 7 benefits of implementing FIPS 140-3 across your out-of-band management infrastructure. This article discusses the benefits it brings to remotely accessing devices, protecting against physical attacks, and securing edge infrastructure.
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