Organizations find it highly challenging to keep their data safe and protected because of the exponentially increasing data volume that attracts hackers and cybercriminals who engineer data breaches for covertly using the data. Protecting Big Data is a top priority for business organizations to survive in the intensely competitive environment. The perception of cybersecurity has changed in recent years as the traditional security ring that Corporate and big organizations used to implement are no more relevant because of the transition of the databases to the cloud and widespread adoption of mobile services explains the experts at RemoteDBA. The time has come to cast the net of cybersecurity far and wide across the cloud by shedding the old idea of traditional tools for perimeter protection.
Cybercriminals use more advanced technology to sharpen their weapons of attack to carry out unpredictable attacks that can break through the security cordon with much ease. Besides making use of multi-cloud environments, organizations also use data storage repositories as well as on-premise repositories. But unfortunately, the organizations are not always adhering to the security standards that expose the systems to various cyber threats. It is critical that organizations can identify threats to security in advance and fix the issues before they can cause any harm.
Besides understanding the potential threats, organizations must have the right tools to protect their data regardless of where it resides, in the cloud or on-premise, so that it can effectively ward off cyber attacks by implementing measures in bettering cybersecurity.
Challenges faced by cybersecurity experts
Cybersecurity experts are waging a never-ending battle with cybercriminals who keep on discovering new techniques of breaching the security networks of organizations. Preventing data breaches is never easy because of the continuous improvements of the attacking techniques as cybercriminals keep changing their tools and attacking strategies quickly. It is like a cat and mouse chase, and cybersecurity experts are always on their toes to protect the systems from any data breaches. The task of cybersecurity experts becomes more challenging because besides protecting the systems, they must keep a close watch on the developments that happen in the criminal world of cyberspace.
Businesses need complete protection
Businesses thrive on data, and cybersecurity is always a concern for business leaders because if sensitive business information falls into the wrong hands, it can spell disaster for businesses. Businesses of all sizes are susceptible to data protection because data is the lifeblood of business. The problem is incredibly complex for Big Data because of the enormous data volume that is neither easy to manage nor easy to protect. Installing readily available cybersecurity software offers minimal protection. It soon becomes outdated by the cybercriminals’ smart moves who invent new methods of attacks that can penetrate easily through the conventional security ring.
Protecting Big Data is not at all simple
While businesses stand to gain a lot from Big Data, they must have the right capabilities of managing and protecting the data, which is never easy. As organizations keep growing, the data accumulation grows in volume, variety, and speed, but it poses severe risks of data breaches, which can cripple organizations. Threats about protecting personal and sensitive information are so much real that companies cannot take chances with it. Moreover, many companies cannot use big data because of the lack of data scientists who can analyze the data and provide the required insights that help make sound business decisions.
A daunting task
The advent of Big Data has made the task of cybersecurity experts more daunting because of the magnitude of the data that seems incredible to handle. If you look closely at the scale of data processing and analysis, it should not be hard to understand why the task seems so much daunting. To understand the magnitude of the problem, you can look at the information provided here. A medium-size network that uses 20,000 devices that includes servers, laptops, and smartphones transmit more than 50TB of data in 24hours that translates into analyzing 5 Bits per second to detect potential threats, malware, and cyber attacks originating from malicious hackers.
Examples of how Big data is helping Cyber Security
Although the primary focus is always on protecting data by implementing some security measures, the advent of Big Data has opened new vistas in data protection by using the data itself. Studies have shown that Big Data analytics is a powerful tool that offers cyber security to businesses. Here are some examples.
Cloud security monitoring – One of the most prominent uses of big data analytics for providing a ring of security is seen in the area of cloud application monitoring. The analytics provide host sensitive data and monitor the infrastructure of cloud hosting, and the solutions extend in providing support across many cloud platforms relevant to the system.
Insider threat detection – External cyber threats and threats to the system from insiders are no less dangerous. Any active malicious users can be as much harmful as any malware attacks. However, the threats from inside attacks cannot destroy the network. By using security analytics, organizations can detect potential threats posed by insiders by monitoring their activities closely to detect abnormal times of logging into the system or unauthorized requests for database access or unusual email usage.
Network traffic analysis – The high volume of data exchanged over the network prevents maintaining transactional visibility across the network. The security analytics helps to maintain surveillance on the network traffic for detecting anomalies and establishing baselines.
Threat hunting – Staying proactive helps cybersecurity experts hunt for threats and protect against them before they can strike. Manual processes of threat hunting are time-consuming and error-prone, but it is possible to automate the system and speed it up using security analytics. Security analytics can automate the system of incident investigation and streamline the response by analyzing alerts in the proper context. Ensure that you hire a competent service provider to help you.
