This year, Internet of Things

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The future belongs to those who ensure the security of the present
With the rapid advancement of AI and connected technologies, security has become more important than ever, as AI helps hackers as much as it helps security professionals. Three of the top ten emerging technologies are dedicated to security:

(IoT) security made the list as the proliferation of smart devices requires increased attention to protecting the expanding attack surface.
The list also continues with Zero Trust Edge. ZTE is a convergence of networking and security tools, managed as a cloud service, that is designed to help secure remote environments using Zero Trust principles.
Quantum security is a newcomer to the top 10 list. Why? Although quantum computers are still a long way from breaking existing encryption, preparing for quantum-resistant algorithms and cryptographic flexibility is becoming increasingly important.
The inclusion of these security technologies underscores an important point: the future belongs to those with the foresight and willingness to invest in security now. As AI capabilities expand, so do the potential vulnerabilities that attackers can exploit.
Data Integrity: The Hidden Problem in Hybrid IT Strategies
21.06.2024
Data integrity issues in hybrid IT environments can bulgaria mobile database productivity and security, complicating efforts to optimize costs and improve efficiency, writes George Simons, vice president of strategy for Persistent Systems' cloud, infrastructure, and security practice, in Data Center Knowledge.

Operating in a hybrid IT environment can be challenging before it starts to pay off. While businesses are moving to hybrid IT systems to optimize performance and costs, they must learn to manage data integrity to address issues such as access, latency, performance, and security.

A hybrid strategy requires businesses to decide whether to store applications and their associated data in separate locations or move them together to the cloud. Moving applications to the cloud is easier than moving data, which is challenging due to its sheer volume and security concerns.

On the other hand, separating data and applications creates data quality issues, latency, errors, and data inconsistency. Handling data stored in different locations also becomes more complex as the number of applications and users grows, and comes with regulatory risks that businesses must manage to ensure business continuity.

Data Integrity Challenges in Hybrid IT Environments
Having applications and data in different locations creates problems with far-reaching consequences due to the following factors: