Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into big data. This time, you get to discover 5 hand-picked startups developing innovative solutions for big data security.
Global Startup Heat Map: 5 Top Big Data Security Startups
The 5 big data security startups you will explore below are chosen based on our data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. This analysis is based on the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 1.3 million startups & scaleups globally.
The Global Startup Heat Map below highlights the 5 big data security startups our Innovation Researchers curated for this report. Moreover, you get insights into regions that observe a high startup activity and the global geographic distribution of the 122 companies we analyzed for this specific topic.
Flow++ develops a Cybersecurity Platform
There is a rise in the popularity of online services such as online banking, content streaming, and gaming. As a result, an increasingly large amount of sensitive data is transmitted and stored in servers. Cyberattacks expose users’ private data and information to be available on the digital black market. To counter these attacks, startups are using AI and machine learning to develop self-improving big data security systems.
Chinese tech startup Flow++ develops FlowAI, a big data platform that utilizes proprietary AI and deep learning algorithms. FlowAI is built upon FlowID that collects data at the application, behavior, and content levels for real-time analysis. FlowID also dynamically displays security analysis data using encrypted traffic, recognition algorithms, high-performance network processing architecture, and automation. Flowpp’s solution provides big data security for applications that use IoT and mobile networks.
Changyang Tech secures Industrial Big Data
Smart factories are seen as a massive benefit to the manufacturing industry. Technologies such as the Internet of Things (IoT), augmented and virtual reality (AR/VR), digital twins, and automation are driving industry 4.0 and increasingly digitizing the manufacturing industry. This poses a problem for data security as each data source is a potential point of vulnerability. To counter this, startups develop smart solutions specifically for improving industrial data security.
Chinese startup Changyang Tech provides a secure big data platform for industrial internet security. The data security solution features an AI system that constantly collects and monitors industrial networks. A threat manager later analyzes malicious code, vulnerabilities, and attack events. The threats analyzed using deep learning and threat intelligence support systems provide early warnings for emergency response measures. The solution secures networks that employ IoT sensors, connected assets, and other industrial equipment.
Relate Data builds a Big Data Analytics Engine
Small businesses usually generate a low volume of data that is easily protected by cybersecurity solutions. However, as the scale increases to medium and large businesses, the complexity of data also increases exponentially. To protect against attacks, startups develop big data analytics solutions to analyze the data in real-time and implement pre-emptive data security measures.
British cybersecurity startup Relate Data creates a cloud-based monitoring solution for medium to large scale enterprise networks. The startup’s big data analytics engine utilizes machine learning and predictive analytics to optimize networks and prevent cyber attacks. The security solutions focus on larger businesses with multiple data sources that together generate petabytes of data.
Big Data Block secures Big Data Networks
Supporting big data infrastructure and networks in an organization requires considerable investment in talent, knowledge, and hardware. Consequently, secure data infrastructure is often unaffordable for small and medium enterprises (SMEs). Blockchain technology offers an affordable alternative to making their data secure. Startups increasingly use decentralized and secure blockchain-based computing to create affordable and secure big data networks.
Big Data Block is a US-based startup developing an ecosystem for big data networks. The startup’s ecosystem leverages the smart contract and distributed ledger capabilities of the Ethereum blockchain. It allows small and medium-sized enterprises to utilize big data analytics to process vast amounts of data available in real-time. The solution finds applications in e-commerce, internet banking, and other online financial services.
Technisanct offers Breach Detection for Cybersecurity
Data breaches through malicious attacks have been prevalent in recent years. These breaches affect even large companies such as Adobe, Equifax, Linkedin, Yahoo, and more. With the volume of user-generated data growing exponentially, data breaches today have more far-reaching impacts. Startups create solutions to monitor the nature of the stolen data and provide risk assessment based on the criticality and seriousness of the exposed data.
Indian IT startup Technisanct develops Integrite, a breach detection solution for cybersecurity. The solution works using automated web crawlers that integrate into data funnels. The program upon detection of a malicious data dump analyzes the category of data and issues a risk assessment to the affected organization. The platform mitigates the risk of data breaches and enables organizations to take quick action to secure their client data.
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