Be it manufacturers, financial institutions, global giants in media and entertainment, or healthcare organizations - many businesses of medium and large caliber find the need to harness two or more clouds.
Using multiple clouds helps them enhance supply chains, increase sales rates, and boost service provisions.
The dalliance with multiple clouds amplifies the risks of misconfigurations and human-induced errors in cloud management.
Blunders widen the gateway for security vulnerabilities, leading to breaches that may harm the organization's bottom line and its reputation in the long haul.
The average financial losses suffered by organizations reached $4.41 million, an amount impressive enough to focus on adopting adequate multi-cloud security strategies.
Both public and private cloud services often lack proper security and management when users make mistakes in setting up access controls, encryption, firewalls, backups, and other security features.
A way forward for holistic security across diverse cloud platforms is centralized cloud management.
Innovative solutions can help manage multiple registered clouds via a unified interface.
Protecting data across multi-cloud environments is tough without centralized security controls.
Centralized security controls give a clear view across cloud providers while offering strong compliance mechanisms.
Integrated AI tools and automated systems scan the cloud environment and help meet compliance needs by giving real-time reports and alerts on deviations.
By using a unified interface, organizations can tap into steady multi-cloud security policies and top-notch threat protection.
A notable 56% of organizations struggle to find the needed skills to manage security in multi-cloud environments.
They may be unfamiliar with different security features and practices that differ across Google Cloud, AWS, Microsoft Azure, and other cloud services.
As a result, doubts arise regarding consistent security policies and adequate protection for sensitive data.
AI-driven threat detection simplifies security tasks, reducing the need for specialized knowledge.
There are solutions for unified visualization and configuration of cross-cloud security tools that make cloud management simpler.
With the help of AI and machine learning, these tools auto-detect threats and learn from user feedback to improve security continually.
Organizations can then navigate their clouds with ease, making sure data stays safe, secure, and compliant.
Michael Rostov is a co-founder of Dubai-based startup Oasis Defender which focuses on developing AI-driven software for unified visualization and configuration of multi-cloud security.
This Cyber News was published on www.cyberdefensemagazine.com. Publication date: Sun, 07 Jan 2024 06:13:06 +0000