Security and Privacy at Metal
We prioritize security across our products, infrastructure, and processes, providing you with the peace of mind that your data is protected.
Security and Privacy teams at Metal crafts policies and controls, ensures adherence to these measures, and prove our security and compliance to external auditors.
Our policies are based on the following foundational principles:
Grant access solely to those with legitimate business needs, following the principle of least privilege.
Adopting a defense-in-depth approach, security controls should be implemented in layered fashion.
Security controls must maintain uniformity across all enterprise domains.
Iterative control implementation aims for enhanced effectiveness, auditability, and reduced friction.
Data Protection
Data at Rest
At rest, all customer data residing in datastores and S3 buckets is encrypted. Furthermore, row-level encryption is employed for sensitive collections and tables, guaranteeing that data remains encrypted even before it reaches the database. This multilayered encryption approach ensures that access to either the physical infrastructure or the database itself is insufficient to access highly sensitive information.
Data in Transit
Metal ensures the use of TLS 1.2 or higher protocols for all data transmissions over potentially insecure networks. Additionally, security measures like HSTS (HTTP Strict Transport Security) are employed to maximize data security in transit. Server TLS keys and certificates are managed by AWS and deployed through Application Load Balancers, further enhancing security.
Secret Management
Encryption keys are meticulously managed within Metal using the AWS Key Management System (KMS). Key material is securely stored within Hardware Security Modules (HSMs), ensuring no direct access by any individuals, including both Amazon and Metal employees. These keys, residing within HSMs, are utilized for encryption and decryption tasks through Amazon's KMS APIs.
Product Security
Vulnerability Scanning
Metal requires vulnerability scanning at key stages of our Secure Development Lifecycle (SDLC):
Static Analysis Testing
Static analysis (SAST) testing of code during pull requests and on an ongoing basis
Software Composition Analysis
Software composition analysis (SCA) to identify known vulnerabilities in our software supply chain
Malicious Dependancy Scanning
Malicious dependency scanning to prevent the introduction of malware into our software supply chain
Dynamic Analysis
Dynamic analysis (DAST) of running applications
Data Privacy
Ensuring data privacy takes precedence at Metal — we are steadfast in our commitment to being responsible custodians of sensitive data.
Privacy Policy
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