This project proposes an innovative Zero Trust Network Security Framework designed to tackle the significant challenges financial institutions face regarding data security, compliance, and threat mitigation in cloud environments.
Our platform implements advanced techniques like π fine-grained Attribute-Based Access Control (ABAC), π‘οΈ request fingerprinting, and seamless β‘ SIEM integration for enhanced real-time threat detection and monitoring.
- π‘οΈ Zero Trust Principles: Adopts a Zero Trust model, ensuring all access requests are thoroughly verified, even within the network perimeter.
- π Fine-Grained Access Control: Utilizes ABAC for dynamic policy enforcement based on real-time request attributes.
- π Request Fingerprinting: Provides detailed visibility into request activities, improving threat identification.
- β‘ SIEM Integration: Logs all access activities for real-time detection and security monitoring via Security Information and Event Management systems.
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π οΈ Request Interception
Incoming requests are intercepted by the Policy Enforcement Point (PEP) and critical attributes are extracted. -
π Policy Evaluation
Attributes are passed to the Policy Decision Point (PDP) for evaluation using ABAC logic. -
βοΈ Access Decision
The PDP grants or denies access based on the evaluated policies, with outcomes logged for security compliance. -
π SIEM Monitoring
Access logs are integrated into the SIEM system for real-time security monitoring and analysis.
Financial institutions often struggle with securing their data due to the inherent risks in cloud computing. Challenges include:
- π Ensuring compliance with strict financial regulations.
- π¨ Mitigating advanced cyber threats.
- π Managing access control in dynamic and distributed cloud environments.
Our Zero Trust Platform redefines security by enforcing dynamic access policies, real-time request verification, and comprehensive monitoring. This ensures that every access attempt is scrutinized, significantly reducing the risk of breaches and enhancing financial security in the cloud.
- π§ Expanding integration with advanced AI-driven anomaly detection tools.
- π Enhancing the scalability of the Zero Trust model for hybrid cloud environments.
- β Building compliance frameworks to align with global financial standards (e.g., GDPR, CCPA).