TOOLS AND TECHNOLOGIES WE USE
PREDICTIVE ANALYTICS
One of the prime tools for businesses to avoid risks in decision making. It can be utilized for discovery, evaluation and deployment of predictive scenarios by processing big data.
Need for an Efficient Threat Data analysis
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While mobile devices, tablets and wearable technology collect vast amounts of data about their users, privacy and security have undoubtedly become primary concerns. However, your Enterprise Data is also the path to new customers.. Maximize its value. inherent intelligence to identify new potential customers OR can assist you to serve your existing customers better. Big Data and Analytics can certainly boost cybersecurity..
Potential Risks and Threats you may face
If you collect customer data, you may be viable to risks too, due to the security breaches. Though there are several methods in practice today to improve and extend the use of enterprise data, major technical considerations and implementation techniques to cleanse, reuse or extract the business intelligence for reuse depends on the way the your security and other data management infrastructure is setup. Organizations leverage traditional data warehouses and different mining methods to achieve desired results. However, Traditional data warehouse projects may take about a year or more before they can realize the value. By using Big-data analytics and tools, you can accelerate the time-to-value cycle enhancing the break-even much faster.
Key Challenges to Combating Cyber Security Threats
Though traditional SIEM (security information and event management) software tools offers a lot of threat managing feature and options, but still simply can't keep up with the volume and complexities of today's cyber attacks. Further, as complex threat attacks increase in volume, it also makes even harder and makes the traditional analytic tools fail in their effective malware and threat analysis. Further, analysis of these increased data volume requires new tools and technologies, as the typical SQL-based tooling and infrastructure doesn’t scale well.
"Big Data Analytics is trusted Path in recent times to tackle
Cyber Security"
Big Data Analytics assists with: Prevent, Detect, Respond model much effectively than the typical data science tools.
Hence Organizations today are exploring their way into analytics-driven SIEMs to combine a big data platform that is optimized for machine data with advanced analytics, threat detection, monitoring tools, incident response tools and multiple forms of threat intelligence.
Our Capabilities and Solutions
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MasonBlue can assist you in extracting large volumes of intelligence data, analyze, report and predicting future outcomes for efficient management. Further, most of the cases, when the data grows because of large disintegrated databases, data may be loosely structured. Under those conditions, traditional ways of categorizing and processing these data can me extremely challenging and daunting. This also costs you considerably in terms of maintaining these data, hardware to store them etc. MasonBlue can simplify these challenges for you by bringing in industry standard best practices and utmost creativity and out of the box approaches to your organization.
Big Data Analytics & Cybersecurity
We can collect large threat data sets (existing and vulnerable) from all sources(traditional and digital), analyze them to identify trends and patterns of your potential threats. We can then integrate that intelligence into your security strategy and managed process, automate the process. If your data is growing at a rapid rate, you might have secured sufficient competitive and tangible advantage ONLY if you have taken the steps to realize the quality of data, secure them from hackers. inherent intelligence to identify new potential customers OR can assist you to serve your existing customers better.
