Secure Edge Computing
DOD
Finance
Oil & Gas
Critical Infrastructure
Department of Defense
JADC2
JADC2 stands for Joint All-Domain Command and Control. It is a concept developed by the United States Department of Defense (DoD) to integrate all military domains (air, land, sea, space, cyber) into a single, unified network. The purpose of JADC2 is to improve situational awareness, decision-making, and mission execution across all domains of operation.The concept of JADC2 aims to provide the following benefits:
Interoperability: JADC2 aims to ensure that all military platforms and systems are interoperable and can seamlessly communicate with each other.
Information sharing: JADC2 aims to facilitate the sharing of information across all domains, allowing military commanders to make more informed decisions.
Rapid decision-making: JADC2 aims to enable faster decision-making by providing real-time situational awareness across all domains.
The goal of JADC2 is to create a more integrated and effective military force, capable of responding to threats across all domains of operation. AI/ML will play a major role where sensitive data and AI/ML workloads are secure from unauthorized access and tampering.
By using a solution that provides end-to-end security, the DoD can reduce the risk of data breaches and protect sensitive information. The DoD is subject to various regulations and standards that govern the use of AI and ML workloads. By using a solution that is designed to meet these requirements, the DoD can ensure that it is in compliance with applicable regulations and standards. The DoD needs to be able to run AI and ML workloads in a cost-effective manner, especially in remote locations where infrastructure may be limited. DoD needs a solution to securely run AI and ML workloads at the edge to support real-time decision-making, improve network connectivity, enhance data security, meet compliance requirements, and reduce costs.
Zero Trust
Metalvisor provides Zero Trust at the CPU level by using cryptographic verification of hardware, extending it to the runtime of applications. Metalvisor provides advanced security measures that meet and exceed the guidelines set forth by NIST 800-207 for Zero Trust. This high level of security helps protect the DOD against cyber threats by providing a secure environment for running critical applications and workloads.
The cryptographic verification of hardware helps to ensure the integrity of the system and the authenticity of the hardware, preventing any unauthorized access or tampering. This advanced level of security can provide peace of mind to the DOD and help to minimize the risk of security breaches, data loss, and other cyber threats.
Zero Trust
at the Edge
CPU-based
Zero Trust
Confidential Compute
Metalvisor provides confidential compute using multi-key total memory encryption on Intel CPUs. Metalvisor is a type 0 hypervisor, which protects compute workloads at the edge. This makes it ideal for use in edge computing environments, where data privacy is paramount. Metalvisor runs directly on the hardware, creating a secure environment for virtual machines. Sensitive data is protected from unauthorized access and data breaches.
One of the critical features of the Metalvisor is its use of multi-key total memory encryption. This means that all memory used by the virtual machines is encrypted. This provides a high level of security, as attackers cannot access the encrypted data even if they gain access to the physical device.Metalvisor also uses Intel's hardware-based encryption acceleration capabilities, providing better performance and security than software-based encryption.
The hardware-based encryption is sealed to the CPU, making it more difficult for attackers to access the encryption keys. This ensures that sensitive data is protected even if the virtual machine is compromised.Metalvisor uses unique encryption keys for each virtual machine (VM) to provide defense in depth against potential data breaches. Each VM has its own encryption key, which is used to encrypt its memory and stored data.
This provides an additional layer of security compared to traditional encryption methods, where a single key is used to encrypt all data.If a single VM is compromised, the attacker would only have access to the encrypted data of that VM and not the data of other VMs. This minimizes the damage that a single security breach can cause.
Full-Stack Data Encryption
Unique Key Per-VM
Secure Edge Finance
Secure edge computing refers to the practice of processing data and running applications at the edge of a network, close to where the data is being generated.
This approach can offer several benefits to the finance industry:
Enhanced Security: Secure edge computing can provide enhanced security by keeping sensitive data closer to the source and reducing the need for data to be transmitted across a network. This can help prevent data breachesImproved Performance: By processing data at the edge of a network, secure edge computing can significantly improve performance.
Improved Analytics: Secure edge computing can provide real-time access to data, enabling finance professionals to perform faster and more accurate analytics. This can help them make more informed decisions and gain a competitive edge.
Better Customer Experience: Secure edge computing can provide a better customer experience by enabling faster and more personalized services. For example, secure edge computing can enable banks to provide real-time fraud detection and prevention, improving the customer experience and reducing financial losses.
Secure edge computing can provide significant benefits to the finance industry, including enhanced security, improved performance, cost savings, better analytics, and a better customer experience. By leveraging this approach, finance professionals can gain a competitive edge and better serve their customers.
AI for Finance
Artificial Intelligence (AI) has the potential to transform the finance industry, especially at the edge, where financial transactions take place. By analyzing large amounts of data in real-time, AI can help financial institutions make better decisions, reduce risks, and improve customer experience.
Here are some ways AI can improve finance at the edge:
Fraud detection: AI can help financial institutions detect fraud at the edge by analyzing data patterns in real-time. AI can identify suspicious transactions, analyze user behavior, and detect anomalies. This can help financial institutions prevent fraud before it happens and reduce losses.
Personalized services: AI can help financial institutions offer personalized services to customers at the edge. AI algorithms can analyze customer data and provide customized investment advice, credit options, and insurance products based on the customer's financial history and behavior.
Risk management: AI can help financial institutions manage risk at the edge by analyzing real-time market data and predicting future trends. AI algorithms can identify potential risks and suggest risk management strategies that can help reduce financial losses.
Automation: AI can help financial institutions automate repetitive tasks at the edge, such as account opening, loan processing, and investment management. This can free up resources, reduce operational costs, and improve efficiency.
Customer service: AI can help financial institutions provide better customer service at the edge by analyzing customer data and providing personalized recommendations. Chatbots powered by AI can assist customers in real-time, answer their queries, and provide support around the clock.
Portfolio management: AI can help financial institutions manage portfolios at the edge by analyzing market data and suggesting investment strategies. AI algorithms can provide real-time insights into the performance of a portfolio, identify areas of improvement, and suggest investment opportunities.
AI has the potential to revolutionize the finance industry at the edge. By leveraging the power of AI, financial institutions can improve their decision-making, reduce risks, and provide better customer experiences. As AI technology continues to evolve, we can expect to see more innovative solutions that will transform the finance industry.
Edge computing for finance has many benefits but workloads will need to enable even more advanced security protections for workloads at the edge.
Zero Trust is an important security concept that assumes that every user, device, and network component is potentially hostile, and should not be trusted until proven otherwise. In the context of finance workloads at the edge, zero trust is essential because it provides a strong security framework to protect sensitive financial data and prevent cyber-attacks.
Here are some reasons why zero trust is important for finance workloads at the edge:
Protects sensitive data: Zero trust helps protect sensitive financial data, such as customer financial information, transaction data, and personal identifying information (PII). By implementing zero trust, financial institutions can ensure that only authorized users and devices can access this data.
Prevents lateral movement: Zero trust can prevent lateral movement of cyber-attacks across the network. By implementing access controls and continuous monitoring, zero trust can limit the damage caused by a compromised device or user.
Provides granular access controls: Zero trust provides granular access controls, which allow financial institutions to restrict access to specific resources or applications based on user roles and permissions. This helps prevent unauthorized access to sensitive data and reduces the risk of data breaches.
Enables continuous monitoring: Zero trust enables continuous monitoring of network traffic, user behavior, and device activity. This helps financial institutions detect and respond to threats in real-time, reducing the risk of successful cyber-attacks.
Supports compliance: Zero trust can help financial institutions comply with regulatory requirements, such as the General Data Protection Regulation (GDPR) and the Payment Card Industry Data Security Standard (PCI DSS). By implementing access controls, data encryption, and continuous monitoring, financial institutions can ensure that they are meeting regulatory requirements.
Zero Trust is an essential security concept for finance workloads at the edge. By implementing zero trust, financial institutions can protect sensitive financial data, prevent cyber-attacks, and comply with regulatory requirements. As the financial industry becomes more digitized and the edge continues to expand, zero trust will become even more important in ensuring the security and integrity of financial transactions.
Metalvisor is a security solution that provides zero trust at the CPU level. It is designed to protect against advanced cyber threats, such as rootkits, malware, and zero-day attacks. Metalvisor uses hardware-based virtualization to create a secure, isolated environment at the CPU level, which allows it to protect against attacks that bypass traditional security measures.
Here is how Metalvisor provides zero trust at the CPU level:
Zero Trust Architecture: Metalvisor follows a zero trust architecture, which assumes that all devices and workloads are potentially hostile. This means that Metalvisor does not rely on traditional security measures, such as only role-based access controls, Metalvisor uses customer-owned encryption keys to sign and lockdown workloads in addition to enterprise access controls.
Hardware-based Isolation: Metalvisor uses hardware-based virtualization to create an isolated environment at the CPU level. This ensures that each workload is separated from other workloads and the underlying host system, preventing attackers from accessing or tampering with other workloads.
Memory & Device Isolation: Metalvisor isolates memory and devices at the hardware-level, preventing attackers from accessing or modifying sensitive data. Metalvisor uses a combination of hardware and software-based techniques to ensure that memory and devices are properly isolated.
Continuous Monitoring: Metalvisor provides continuous monitoring of workloads for indicators of compromise IOCs and cyber attacks. This allows Metalvisor to detect and respond to threats in real-time, reducing the risk of successful attacks.
Metalvisor provides zero trust at the CPU level by creating an isolated environment that is protected against advanced cyber threats. Metalvisor's use of hardware-based virtualization, memory and device isolation, and continuous monitoring makes it an effective solution for protecting against advanced cyber threats. By providing zero trust at the CPU level, Metalvisor can protect against attacks that bypass traditional security measures, providing enhanced security for critical workloads and systems.
Zero Trust
at the Edge
CPU-based
Zero Trust
Confidential Compute
Confidential computing is a technology that protects data and computations in-use, while they are being processed. It provides an isolated and secure environment for data processing and can be used to protect AI and ML models at the edge. Confidential computing uses hardware-based security features, such as secure enclaves, to isolate sensitive data and computations and prevent unauthorized access or tampering.
Here's how confidential computing can help protect Sensitive Data & AI/ML models at the edge:
Data privacy: Confidential computing ensures that sensitive data, such as personal or financial information, is protected from unauthorized access or tampering, even when it is being processed by AI or ML models.
Model protection: Confidential computing can protect AI and ML models from reverse engineering, tampering, or theft. This is important for organizations that have invested in developing proprietary models and do not want to risk their intellectual property being compromised.
Compliance: Confidential computing can help organizations meet regulations and standards, such as GDPR, that require the protection of sensitive data.
Improved performance: By processing data and computations in a secure and isolated environment, confidential computing can help improve the performance of AI and ML models by reducing the overhead of encryption and decryption.
Confidential computing provides an essential layer of security for sensitive data and computations and helping organizations to meet regulatory requirements while improving performance and protecting intellectual property.
Metalvisor provides confidential compute using multi-key total memory encryption on Intel CPUs. Metalvisor is a type 0 hypervisor, which protects compute workloads at the edge. This makes it ideal for use in edge computing environments, where data privacy is paramount. Metalvisor runs directly on the hardware, creating a secure environment for virtual machines. Sensitive data is protected from unauthorized access and data breaches.
One of the critical features of the Metalvisor is its use of multi-key total memory encryption. This means that all memory used by the virtual machines is encrypted. This provides a high level of security, as attackers cannot access the encrypted data even if they gain access to the physical device.Metalvisor also uses Intel's hardware-based encryption acceleration capabilities, providing better performance and security than software-based encryption.
The hardware-based encryption is sealed to the CPU, making it more difficult for attackers to access the encryption keys. This ensures that sensitive data is protected even if the virtual machine is compromised.Metalvisor uses unique encryption keys for each virtual machine (VM) to provide defense in depth against potential data breaches. Each VM has its own encryption key, which is used to encrypt its memory and stored data.
This provides an additional layer of security compared to traditional encryption methods, where a single key is used to encrypt all data.If a single VM is compromised, the attacker would only have access to the encrypted data of that VM and not the data of other VMs. This minimizes the damage that a single security breach can cause.
Full-Stack Data Encryption
Unique Key Per-VM
Secure Edge Oil & Gas
The oil and gas industry is an essential sector that plays a crucial role in the global economy. However, this industry is also highly vulnerable to cyber threats due to the critical nature of its operations, reliance on technology, and the significant financial resources it controls. Cyber threats to the oil and gas industry can take various forms, including:
Cyber-attacks on Operational Technology (OT) systems: OT systems are used by oil and gas companies to control and monitor critical infrastructure, such as pipelines, refineries, and drilling platforms. A successful cyber-attack on these systems can cause significant damage, including spills, explosions, or other dangerous situations.
Malware attacks: Oil and gas companies are frequently targeted by malware attacks, such as ransomware, which can encrypt critical data and demand payment for decryption. Malware can also be used to steal sensitive information, such as intellectual property, trade secrets, and financial data.
Social engineering attacks: Cybercriminals can use social engineering tactics, such as phishing and spear-phishing, to trick employees into revealing sensitive information or providing access to company systems. These attacks can be challenging to detect and can compromise sensitive data.
Insider threats: Insider threats are one of the most significant cyber threats to the oil and gas industry. Employees or contractors with access to critical systems can intentionally or unintentionally cause damage or steal sensitive data.
Supply chain attacks: The oil and gas industry relies on a complex supply chain, making it vulnerable to supply chain attacks. Attackers can compromise suppliers' systems and gain access to critical data or inject malware into the supply chain, compromising the entire system.
Internet of Things (IoT) attacks: IoT devices are increasingly being used in the oil and gas industry to monitor and control equipment. However, these devices can also be used as entry points for cyber-attacks, compromising the entire system.
The consequences of a successful cyber-attack on the oil and gas industry can be severe. A cyber-attack can cause significant damage to infrastructure, endanger lives, and disrupt the global economy. In addition, a successful attack can result in the loss of sensitive information, financial loss, and damage to the company's reputation.
To mitigate these cyber threats, oil and gas companies need to implement robust cybersecurity measures. These measures include regular security assessments, employee training, access control, and incident response planning. Companies should also use advanced technologies, such as artificial intelligence and machine learning, to identify and respond to threats quickly. By implementing these measures, oil and gas companies can reduce their cyber risk and protect their critical operations.
Zero Trust is an essential security concept for oil and gas workloads at the edge. By implementing zero trust, oil and gas can protect sensitive data, prevent cyber-attacks, and comply with regulatory requirements. As the oil and gas industry becomes more digitized and the edge continues to expand, zero trust will become even more important in ensuring the security and integrity of oil and gas infrastructure.
Metalvisor is a security solution that provides zero trust at the CPU level. It is designed to protect against advanced cyber threats, such as rootkits, malware, and zero-day attacks. Metalvisor uses hardware-based virtualization to create a secure, isolated environment at the CPU level, which allows it to protect against attacks that bypass traditional security measures.
Here is how Metalvisor provides zero trust at the CPU level:
Zero Trust Architecture: Metalvisor follows a zero trust architecture, which assumes that all devices and workloads are potentially hostile. This means that Metalvisor does not rely on traditional security measures, such as only role-based access controls, Metalvisor uses customer-owned encryption keys to sign and lockdown workloads in addition to enterprise access controls.
Hardware-based Isolation: Metalvisor uses hardware-based virtualization to create an isolated environment at the CPU level. This ensures that each workload is separated from other workloads and the underlying host system, preventing attackers from accessing or tampering with other workloads.
Memory & Device Isolation: Metalvisor isolates memory and devices at the hardware-level, preventing attackers from accessing or modifying sensitive data. Metalvisor uses a combination of hardware and software-based techniques to ensure that memory and devices are properly isolated.
Continuous Monitoring: Metalvisor provides continuous monitoring of workloads for indicators of compromise IOCs and cyber attacks. This allows Metalvisor to detect and respond to threats in real-time, reducing the risk of successful attacks.
Metalvisor provides zero trust at the CPU level by creating an isolated environment that is protected against advanced cyber threats. Metalvisor's use of hardware-based virtualization, memory and device isolation, and continuous monitoring makes it an effective solution for protecting against advanced cyber threats. By providing zero trust at the CPU level, Metalvisor can protect against attacks that bypass traditional security measures, providing enhanced security for critical workloads and systems. Metalvisor is a powerful security solution that can help secure workloads at the edge for the oil and gas industry.
Zero Trust
at the Edge
CPU-based
Zero Trust
Confidential Compute
Confidential computing is a technology that protects data and computations in-use, while they are being processed. It provides an isolated and secure environment for data processing and can be used to protect AI and ML models at the edge. Confidential computing uses hardware-based security features, such as secure enclaves, to isolate sensitive data and computations and prevent unauthorized access or tampering.
Here's how confidential computing can help protect Sensitive Data & AI/ML models at the edge:
Data privacy: Confidential computing ensures that sensitive data, such as personal or financial information, is protected from unauthorized access or tampering, even when it is being processed by AI or ML models.
Model protection: Confidential computing can protect AI and ML models from reverse engineering, tampering, or theft. This is important for organizations that have invested in developing proprietary models and do not want to risk their intellectual property being compromised.
Compliance: Confidential computing can help organizations meet regulations and standards, such as GDPR, that require the protection of sensitive data.
Improved performance: By processing data and computations in a secure and isolated environment, confidential computing can help improve the performance of AI and ML models by reducing the overhead of encryption and decryption.
Confidential computing provides an essential layer of security for sensitive data and computations and helping organizations to meet regulatory requirements while improving performance and protecting intellectual property.
Metalvisor provides confidential compute using multi-key total memory encryption on Intel CPUs. Metalvisor is a type 0 hypervisor, which protects compute workloads at the edge. This makes it ideal for use in edge computing environments, where data privacy is paramount. Metalvisor runs directly on the hardware, creating a secure environment for virtual machines. Sensitive data is protected from unauthorized access and data breaches.
One of the critical features of the Metalvisor is its use of multi-key total memory encryption. This means that all memory used by the virtual machines is encrypted. This provides a high level of security, as attackers cannot access the encrypted data even if they gain access to the physical device.Metalvisor also uses Intel's hardware-based encryption acceleration capabilities, providing better performance and security than software-based encryption.
The hardware-based encryption is sealed to the CPU, making it more difficult for attackers to access the encryption keys. This ensures that sensitive data is protected even if the virtual machine is compromised.Metalvisor uses unique encryption keys for each virtual machine (VM) to provide defense in depth against potential data breaches. Each VM has its own encryption key, which is used to encrypt its memory and stored data.
This provides an additional layer of security compared to traditional encryption methods, where a single key is used to encrypt all data.If a single VM is compromised, the attacker would only have access to the encrypted data of that VM and not the data of other VMs. This minimizes the damage that a single security breach can cause.
Full-Stack Data Encryption
Unique Key Per-VM
Secure Edge Critical Infrastructure
Critical infrastructure is the systems and assets essential to the functioning of a society and its economy, such as power grids, water supply systems, transportation networks, and communication systems.
The critical infrastructure industry faces numerous cyber threats that can cause significant disruptions, including:
Advanced persistent threats (APTs): APTs are sophisticated cyber-attacks that are designed to gain access to critical infrastructure systems and remain undetected for long periods. APTs often target the supply chain of critical infrastructure providers to gain access to their networks.
Ransomware attacks: Ransomware is a type of malware that encrypts data and demands payment in exchange for the decryption key. Ransomware attacks on critical infrastructure can cause significant disruptions and financial losses.
Insider threats: Insider threats can be intentional or unintentional, but both types can cause significant damage to critical infrastructure systems. Malicious insiders can use their access to cause harm, while unintentional insider threats can result from human error or lack of cybersecurity training.
DDoS attacks: Distributed Denial of Service (DDoS) attacks involve overwhelming a website or system with traffic to cause it to crash or become unavailable. DDoS attacks can be used to disrupt critical infrastructure systems and services, causing significant disruptions.
Supply chain attacks: Supply chain attacks involve compromising the systems or networks of third-party suppliers to gain access to the target's network. Supply chain attacks are becoming increasingly common in the critical infrastructure industry, where many organizations rely on external vendors and contractors.
IoT attacks: The Internet of Things (IoT) is becoming increasingly prevalent in critical infrastructure systems, such as smart grids and transportation networks. However, IoT devices can also be vulnerable to cyber-attacks, and compromised devices can be used as entry points into the system.
The consequences of a successful cyber-attack on critical infrastructure can be severe, including loss of life, significant economic damage, and disruption of essential services. To mitigate these threats, critical infrastructure organizations need to implement robust cybersecurity measures, including regular vulnerability assessments, employee training, access control, and incident response planning. Organizations should also use advanced technologies, such as artificial intelligence and advanced security, to identify and respond to threats quickly. By implementing these measures, critical infrastructure organizations can reduce their cyber risk and protect essential systems and services.
Zero Trust is an essential security concept for critical infrastructure workloads at the edge. By implementing zero trust, critical infrastructure can protect sensitive data, prevent cyber-attacks, and comply with regulatory requirements. As the critical infrastructure industry becomes more digitized and the edge continues to expand, zero trust will become even more important in ensuring the security and integrity of critical infrastructure.
Metalvisor is a security solution that provides zero trust at the CPU level. It is designed to protect against advanced cyber threats, such as rootkits, malware, and zero-day attacks. Metalvisor uses hardware-based virtualization to create a secure, isolated environment at the CPU level, which allows it to protect against attacks that bypass traditional security measures.
Here is how Metalvisor provides zero trust at the CPU level:
Zero Trust Architecture: Metalvisor follows a zero trust architecture, which assumes that all devices and workloads are potentially hostile. This means that Metalvisor does not rely on traditional security measures, such as only role-based access controls, Metalvisor uses customer-owned encryption keys to sign and lockdown workloads in addition to enterprise access controls.
Hardware-based Isolation: Metalvisor uses hardware-based virtualization to create an isolated environment at the CPU level. This ensures that each workload is separated from other workloads and the underlying host system, preventing attackers from accessing or tampering with other workloads.
Memory & Device Isolation: Metalvisor isolates memory and devices at the hardware-level, preventing attackers from accessing or modifying sensitive data. Metalvisor uses a combination of hardware and software-based techniques to ensure that memory and devices are properly isolated.
Continuous Monitoring: Metalvisor provides continuous monitoring of workloads for indicators of compromise IOCs and cyber attacks. This allows Metalvisor to detect and respond to threats in real-time, reducing the risk of successful attacks.
Metalvisor provides zero trust at the CPU level by creating an isolated environment that is protected against advanced cyber threats. Metalvisor's use of hardware-based virtualization, memory and device isolation, and continuous monitoring makes it an effective solution for protecting against advanced cyber threats. By providing zero trust at the CPU level, Metalvisor can protect against attacks that bypass traditional security measures, providing enhanced security for critical workloads and systems. Metalvisor is a powerful security solution that can help secure workloads at the edge for the oil and gas industry.
Zero Trust
at the Edge
CPU-based
Zero Trust
Confidential Compute
Confidential computing is a technology that protects data and computations in-use, while they are being processed. It provides an isolated and secure environment for data processing and can be used to protect AI and ML models at the edge. Confidential computing uses hardware-based security features, such as secure enclaves, to isolate sensitive data and computations and prevent unauthorized access or tampering.
Here's how confidential computing can help protect Sensitive Data & AI/ML models at the edge:
Data privacy: Confidential computing ensures that sensitive data, such as personal or financial information, is protected from unauthorized access or tampering, even when it is being processed by AI or ML models.
Model protection: Confidential computing can protect AI and ML models from reverse engineering, tampering, or theft. This is important for organizations that have invested in developing proprietary models and do not want to risk their intellectual property being compromised.
Compliance: Confidential computing can help organizations meet regulations and standards, such as GDPR, that require the protection of sensitive data.
Improved performance: By processing data and computations in a secure and isolated environment, confidential computing can help improve the performance of AI and ML models by reducing the overhead of encryption and decryption.
Confidential computing provides an essential layer of security for sensitive data and computations and helping organizations to meet regulatory requirements while improving performance and protecting intellectual property.
Metalvisor provides confidential compute using multi-key total memory encryption on Intel CPUs. Metalvisor is a type 0 hypervisor, which protects compute workloads at the edge. This makes it ideal for use in edge computing environments, where data privacy is paramount. Metalvisor runs directly on the hardware, creating a secure environment for virtual machines. Sensitive data is protected from unauthorized access and data breaches.
One of the critical features of the Metalvisor is its use of multi-key total memory encryption. This means that all memory used by the virtual machines is encrypted. This provides a high level of security, as attackers cannot access the encrypted data even if they gain access to the physical device.Metalvisor also uses Intel's hardware-based encryption acceleration capabilities, providing better performance and security than software-based encryption.
The hardware-based encryption is sealed to the CPU, making it more difficult for attackers to access the encryption keys. This ensures that sensitive data is protected even if the virtual machine is compromised.Metalvisor uses unique encryption keys for each virtual machine (VM) to provide defense in depth against potential data breaches. Each VM has its own encryption key, which is used to encrypt its memory and stored data.
This provides an additional layer of security compared to traditional encryption methods, where a single key is used to encrypt all data.If a single VM is compromised, the attacker would only have access to the encrypted data of that VM and not the data of other VMs. This minimizes the damage that a single security breach can cause.
Full-Stack Data Encryption
Unique Key Per-VM
Metalvisor Meets & Exceeds NIST
Zero Trust 800-207 policy, delivering advanced security today.
This advanced level of security can provide peace of mind to the DOD and help to minimize the risk of security breaches, data loss, and other cyber threats.
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