Security Requirements

Security Requirements

Swarm’s Security Requirements establish a comprehensive framework to protect resources, data, and communications across its decentralized infrastructure. Each component aligns with industry standards and includes robust implementation and verification measures.

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Component	Standard	Implementation	Verification
Encryption	AES-256-GCM	Utilizes Hardware TEE (Trusted Execution Environments) to secure data at rest and in use.	Regular audits ensure compliance with encryption policies and standards.
Network	WireGuard	Implements Mesh VPN for secure and efficient data transport across nodes.	Continuous testing validates network integrity and encryption.
Access	Zero Trust	Enforces Multi-Factor Authentication (MFA) for user and system access.	Real-time checks monitor and verify user identity and permissions dynamically.
Monitoring	SIEM (Security Information and Event Management)	Deploys log analysis tools to track and analyze security events.	A 24/7 Security Operations Center (SOC) ensures constant vigilance and response.

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Key Features

• End-to-End Protection:

  • Encryption and secure networking ensure that data is protected throughout its lifecycle.

• Proactive Monitoring:

  • SIEM tools and a dedicated SOC enable early detection and mitigation of threats.

• Granular Access Control:

  • Zero Trust principles ensure only authenticated and authorized users can access resources.

• Continuous Verification:

  • Regular audits and tests ensure ongoing compliance with security policies and standards.

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Benefits

• Enhanced Security: Comprehensive encryption and networking standards safeguard against breaches and unauthorized access.

• Operational Reliability: Real-time monitoring and verification minimize downtime and enhance system resilience.

• Regulatory Compliance: Meets stringent requirements of global standards like GDPR, HIPAA, and ISO 27001.

• User Confidence: Strong security measures reinforce trust in Swarm’s platform and services.

Swarm’s Security Requirements provide a robust foundation for ensuring the safety and integrity of resources, making it a trusted platform for distributed AI workloads.