Artificial intelligence has taken over almost every aspect of our everyday lives. In cybersecurity, generative AI models with natural language processing are commonly being used to predict, detect, and respond to threats. But AI security assistants, although an upgrade from traditional machine learning, only provide very basic queries and summarization, which is insufficient to fully comprehend modern cloud attacks. As part of an ongoing effort to improve the cloud detection and response (CDR) experience,

As global network infrastructure expands to include devices without traditional compute power, every organization’s attack surface becomes increasingly complex. Parallel to the increased complexity in the threat landscape is the increased scale and complexity of the signals and data necessary to produce meaningful cybersecurity insights. At its core, cybersecurity is a big data problem, requiring centralization of disparate data sources in uniform structure to enable continuous analytics.

Organizations increasingly rely on third parties for business operations, and as a result are working with more digital suppliers than ever. According to Gartner, 60% of organizations work with more than 1,000 third parties and this number will grow. High-profile vulnerabilities such as Log4Shell are a constant reminder of the risks posed by a breakdown in the software supply chain. This has spurred enterprises to increase the rigor of software risk assessments to ensure supply chain security.

In today’s rapidly evolving cloud landscape, organizations are grappling with the intricate challenge of striking a delicate balance between ensuring robust cybersecurity measures and facilitating seamless operational efficiency. As cloud adoption continues to surge, the traditional approach of granting standing privileges to users has become an increasingly significant security vulnerability.

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Cloud migration refers to the process of moving data, applications, and other business elements from on-premise data centers to a cloud computing environment. This transition is crucial for modern businesses aiming to enhance their operational efficiency, scalability, and flexibility. Cloud migration offers numerous benefits, including cost savings, improved performance, and the ability to leverage advanced technologies like AI and big data analytics.

As modern businesses increasingly rely on cloud services, securely migrating data to the cloud has become crucial. Effective cloud migration allows organizations to leverage external expertise and resources while maintaining data integrity and compliance. This guide provides a comprehensive understanding of secure cloud migration, best practices, essential security measures, and successful real-world examples to help businesses benefit from these practices without compromising data security.

Modern organisations today are increasingly adopting cloud operations to enhance their agility, scalability, and efficiency. By moving to cloud-based platforms, businesses can leverage powerful computing resources without the need to invest heavily in physical infrastructure. This shift not only reduces capital expenditure but also allows organisations to quickly scale operations in response to demand fluctuations.