As organizations shift their focus to digitalization, the risk of cyber attacks is growing more than ever before. Big data analysis is fast becoming the key to protecting organizations against these attacks. Despite the implementation of big data solutions throughout entire network and system infrastructures, businesses continue to face major challenges when it comes to security.
The growing adoption of cloud and mobile services and applications means that information security is becoming more complex. Traditional approaches to information security can no longer keep up with the shifting business infrastructure and security needs. Here, we’re going to discuss how big data is impacting business security today.
Rethinking business security
Data analytics is considered by experts as the key element in leveraging business security resilience. With increasingly persistent and advanced cyber attacks, organizations must rethink their cybersecurity policies. Experts in charge of network and system security should shift from pure prevention to the more effective Prevent – Detect – Respond concept.
Any system or network breach in an organization will likely affect application performance and impact user experience in one way or another. To avoid this, businesses must put in place the right application monitoring – you can learn more here https://stackify.com/application-monitoring/ – and log management strategies to help them identify threats early and find solutions before the threats impact normal operations.
How big data analytics fit in
At the core of implementing any new approach to cybersecurity stands improved detection, and this is where big data analytics comes in. Detection strategies must be able to:
1. Identify any changing use patterns in a network, application or system
2. Execute complex analysis rapidly when needed or in real-time
3. Perform complex and detailed correlations across different data sources
4. Monitor server and application performance
5. Log network events and user activities
To achieve any of this, organizations must invest in big data management tools with the ability to analyze large amounts of historical and current data. Combining big data analysis with other business security measures helps organizations detect and prevent threats, improving their overall cyber resilience.
Adopting the new generation of security tools
As security experts respond to evolving cyber threats and business security challenges, a new generation of security analytics tools has emerged in recent years. These tools are able to easily collect, store and analyze huge amounts of data across the entire organization in real-time while enriching security resources that security experts already have in place.
Enhanced by external threat intelligence and additional log management solutions, this data becomes critical in detecting any application, system or network anomalies and identifying potential malicious activities. These tools generate security alerts based on specific risk models, making it easier for security analysts to detect and mitigate cyber attacks.
Why organizations should focus on Big Data Analytics
While big data comes with new security concerns, it also presents enormous opportunities for organizations to enhance their business intelligence. However, to benefit from the many opportunities that big data presents, organizations must be ready to shoulder the responsibility and risk that comes with protecting big data.
Why is big data analytics important?
1. Organizations are able to combine data to predict suspicious activities
2. Security experts can identify relevant security incidents based on analytic reports
3. Big data analytics provides automated workflows for responding to multiple threats
It’s important to understand that real-time monitoring of cybersecurity threats and automated fraud detection is key to enhancing business security and delivering insights into the level of awareness, detection and prevention approaches that organizations need to take.