Cybersecurity and fraud prevention are two different protective measures that operate under the same umbrella. Often times, it is necessary to integrate the two when planning to safeguard data from potential breaches. Fraud attempts are often a result of using data that has been siphoned by penetrating cybersecurity measures. In order to ensure that cybersecurity and fraud prevention are fully in tact, many enterprises utilize a comprehensive approach involving a big data streaming platform to help maintain security across the board. Data must be handled impeccably in order to properly safeguard personal information.
Similarities Between Cybersecurity and Fraud Prevention
Cybersecurity and fraud prevention aim to keep data hidden from hackers and the rest of the world. Networks that store data must be impenetrable to outside attempts for access and accidental exposure. Enterprises must employ plans to both prevent and address breaches right when they occur. Cybersecurity and fraud prevention go hand in hand. Any data that is exposed due to cybersecurity failure can lead to widespread fraud. Without the proper prevention protocols in place, criminals have been able to collect sensitive data in more than two dozen major breaches last year.
It All Boils Down to Access
Preventing access to data is the most important thing to focus on when creating a plan for effective cybersecurity and fraud prevention. Creating strict rules about who can enter and take information away from a network are paramount when setting up baselines for a big data platform. Moreover, companies should use a teaching methodology to educate their staff about the risks of data access.
What Are the Common Threats Being Addressed by Cybersecurity Today?
There are some universal threats that all enterprises must address when building cybersecurity platforms. Enterprises must be prepared to deal with threats that directly attack a network and dangers that enter in through human error. Comprehensive security plans should take into account breaches that can occur due to phishing scams, employee fraud or human error.
In addition, enterprises must prepare for penetration that occurs through the use of sophisticated viruses that can sniff out weak points in a system. A big data platform makes it possible for an enterprise to detect security threats and fraud attempts easily by recognizing any activity that deviates from the norm. Big data platforms are able to ingest and process large volumes of data in a continuous stream. That means that a platform can keep up with the constant and evolving attacks that hackers can launch at any moment.
Effective fraud prevention utilizes the same methods. Any transactions that appear to deviate from the norm can be flagged and isolated for further review. Triggers can include things like high transaction amounts or suspicious locations.
What Are Some Common Trends In Cybersecurity Vulnerability Today?
Cybersecurity has undergone many advances in recent years. Systems that were once designed to alert an enterprise to threats are now capable of acting in real time to isolate and neutralize threats. In fact, many cybersecurity platforms now use high-tech data analytics and machine learning to adapt to ever-changing and evolving threats. By creating a security platform that can respond to both native inputs and global inputs, enterprises are able to cover more bases like social media security. Systems that utilize big data streaming can respond to threats using established baselines specific to a network’s activity in addition to recognizing trends that are indicative of well known scamming techniques.