Duncan is an award-winning editor with more than 20 years experience in journalism. Having launched his tech journalism career as editor of Arabian Computer News in Dubai, he has since edited an array of tech and digital marketing publications, including Computer Business Review, TechWeekEurope, Figaro Digital, Digit and Marketing Gazette.
Aqua Security, a pure-play cloud native security provider, has introduced what it claims to be the industry’s only $1 Million Cloud Native Protection Warranty.
The warranty reflects Aqua’s ability to stop cloud native attacks through its Cloud Native Application Protection Platform (CNAPP), the Aqua Platform. The warranty, which is available at no cost to all customers who have fully deployed the Aqua Platform, will pay up to $1 million in the event of a proven successful attack.
With cloud native attacks on the rise, Aqua is the first company to make a real difference in protection of cloud native workloads in production. As cloud native applications are being used for more and more business-critical applications, securing these applications is paramount. Traditional security tools have proven ineffective at protecting cloud native environments, and recent research from Aqua Nautilus has shown that it takes less than 20 minutes to compromise a vulnerable cloud native workload.
“Production workloads are the crown jewels in cloud native environments, and that’s what the attackers are after,” said Dror Davidoff, CEO and co-founder, Aqua Security. “Aqua is the only vendor that can thwart attacks across the entire development lifecycle and stop attacks when they matter most: in production. The best way to demonstrate confidence in our platform is to put our reputation on the line with a warranty. No one else in our space can make this claim.”
The Aqua Platform secures customers’ cloud native assets from day one and protects them in real time. The platform prevents vulnerabilities, misconfigurations, secrets and malware from getting into production, and thwarts attacks automatically when they do. From the software supply chain to running workloads, Aqua protects the entire application lifecycle, ensuring that prevention is automated and response is immediate.
How Blockchain and Big Data Can Work Together
Big data and blockchain work well together by providing more security and integrity.
One is transforming data management while the other is changing the nature of transactions altogether. Could they create an even more significant impact on the industries by binding together – big data for blockchain or blockchain for big data?.
Big data technologies first came into the picture at the dawn of this millennium to meet the computational needs of large datasets in the Internet-era. Proprietary applications like BigTable by Google and ZooKeeper at Yahoo showcased the potential of big data. However, the potential could only be tapped into after open-source projects such as the Hadoop File System (HDFS) and Hadoop MapReduce hit the market. Since then, big data has snowballed to transform how companies manage their data in the 21st century. Satoshi Nakamoto, an anonymous mystic individual, introduced the world to blockchain in 2008. It was developed in an attempt to solve the problem of double spending in transactions by eliminating the need for a third party in financial transactions. Blockchain also gave the world its first digital cryptocurrency – the bitcoin. Since then, the concept of blockchain has rapidly evolved to provide robust solutions to problems persisting in a wide array of industries. Now that both big data and blockchain are established as effective tools to tackle issues in different domains, we look forward to – possible methods of integrating both big data and blockchain to deliver even better solutions to specific problems, or as we’ve called it in this article, blockchain for big data and big data for blockchain.
How Big Data Works With Blockchain
A lot of governments have had trouble with the anonymity clause of blockchain. Despite being favored for its security and infallibility, blockchains are turned down for not being able to track stakeholders in transactions, thus being a preferred choice for illegal trade. Big data applications can help make blockchains trackable by managing structured datasets of wallet addresses and their owner details. This kind of infrastructure can convince governments to adopt blockchain as a platform for transactions that demand speed, safety, reliability, and traceability – thanks to big data for blockchain.
The Close Ties Between Blockchain and Big Data
Big data is comfortably dealing with huge sets of data, but some issues in its infrastructure have posed a problem in the widespread adoption of the technology. The big data infrastructure is centralized to a server location that offers complete unconditional control of data to the ones who have access to the server. This ‘ownership’ creates a problem when big data infrastructure is to be shared between different companies or even different regional offices of the same company. Besides, having multiple copies at different locations is not a solution because it puts a burden on resources and also creates confusion while determining the most updated data resource. Furthermore, now that big data resources are being traded among different entities, the legitimacy of a data resource poses a concern. With a blockchain for big data, we can create a decentralized data resource to which every one has full access. We can also track updates to the data resource on the blockchain, eliminating the need for and confusion due to multiple copies. Moreover, data transactions can be verified for legitimacy using blockchain concepts like proof-of-work or proof-of-stake and at the same time blockchain can provide a robust financial platform for data transactions between entities.
It is incredible how both of these technologies – big data and blockchain – can together significantly improve the usability of each other. The techniques can help create a hybrid infrastructure on pillars of big data and blockchain. The infrastructure will be flexible for different application types, like its parents – big data and blockchain.
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