What are the main challenges of data protection in a hybrid work environment?
Organizations are grappling with several challenges in data protection, particularly in a hybrid work environment. These include addressing insider risks due to job changes and remote work, understanding and managing the vast amounts of data generated across various platforms, securing data in a borderless world, and dealing with the complexity of multiple security solutions. The rapid growth of data, expected to reach 181 zettabytes by 2025, alongside the need for compliance with an average of 257 daily regulatory updates across 190 countries, adds to these challenges.
How can organizations effectively manage insider risks?
To effectively manage insider risks, organizations should implement a robust insider risk program that includes effective policies, employee training, and advanced software solutions. Utilizing machine learning and AI can help detect unusual or risky behaviors in real-time, allowing for proactive measures before a data breach occurs. Additionally, integrating data protection into daily workflows can enhance productivity while ensuring compliance, making it easier for employees to adhere to security measures.
What role does a Zero Trust framework play in data security?
Adopting a Zero Trust framework is crucial for enhancing data security and compliance in a distributed environment. This approach relies on three key principles: verifying explicitly, using least privileged access, and assuming breach. By implementing Zero Trust, organizations can better protect sensitive data, detect unauthorized activities, and ensure compliance across various IT resources. This strategy is increasingly relevant as hybrid work environments become the norm, helping to mitigate risks associated with remote access and third-party interactions.
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