Atharv Gyan

  Cloud Security Best Practices: Addressing Key Challenges and Solutions Cloud computing has transformed the way businesses operate, providing scalable resources, cost-efficiency, and flexibility. However, as organizations increasingly move critical workloads to the cloud, ensuring robust security becomes paramount. Below, we explore key cloud security challenges and best practices to address them, focusing on encryption, identity management, and compliance. 1. Encryption: Protecting Data at Rest and in Transit Challenges: Data breaches are among the top concerns in cloud environments. Sensitive information stored in the cloud is vulnerable to unauthorized access, both at rest and during transmission. Ensuring the integrity and confidentiality of data requires robust encryption mechanisms. Best Practices: Encrypt Data at Rest: Use strong encryption algorithms such as AES-256 for data stored in cloud storage. Cloud service providers (CSPs) often offer server-side encryption,...

Shadow AI: The use of unauthorized AI tools by employees without oversight from IT departments, leading to potential data security risks​. Shadow AI refers to the use of unsanctioned or unauthorized AI tools by employees without the knowledge or approval of their organization's IT departments. This practice is rising as AI tools become more accessible and easy to use. Employees may turn to external AI services for convenience, speed, or advanced functionality, bypassing official IT systems and protocols. Key Concerns with Shadow AI: Data Security Risks : Employees might input sensitive business or personal data into unvetted AI tools, which could be exposed to external threats like data breaches, hacking, or misuse. These tools may lack the security measures necessary to safeguard sensitive information. Regulatory and Compliance Issues : Many industries are bound by strict data governance and compliance regulations (e.g., GDPR, HIPAA). The use of unauthorized AI tools can lead to ...