Manufacturing's big data is reshaping the industry. However, due to its massive volume and complexity, significant security concerns persist.
Manufacturers use all of this information to improve decision-making, increase efficiency and identify areas of improvement in supply chains and processes. Big data can also save companies money, improve the quality of products and predict future anomalies.
Keeping it Safe
Once cyberattackers gain access to a network, they will either ransom the data or sell it to the highest bidder. These risks make protecting manufacturing's big data essential, but given the complexity of the environment, security presents some unique challenges that can be addressed with the following security measures:
- Create Guidelines. A company's data usage should adhere to strict guidelines to prevent improper handling by employees or executives. Workers must know precisely how to use and share the data without any deviations to prevent it from falling into the wrong hands.
- Encrypt Data. Encrypting data as it travels between channels means it can only be decoded with a key.
- Conduct Tests. Cybersecurity issues can occur at any time during the process, so conducting tests and identifying vulnerabilities in the system can help catch problems early, before a real threat breaches the system.
- Control Access. Only specific personnel should receive access to big data, thereby reducing the number of vulnerabilities hackers can manipulate. Enabling multi-factor authentication in all access accounts also supports cybersecurity efforts by presenting additional barriers for attackers to overcome.
- Monitoring Continuously. Continuously monitoring big data storage helps spot issues early and ensures all operations run smoothly. Certain automation techniques can make this process less tedious. Set up alerts to notify everyone promptly when suspicious activity occurs.
- Train Employees. Manufacturing companies should train all employees and personnel on proper cybersecurity techniques for big data. Workers should be able to identify discrepancies early to prevent massive amounts of stolen or corrupted data from disrupting operations.
- Back Up Data. If data is compromised or lost due to a breach, backed-up data can be critical for recovery. Create a separate storage area for saved data to keep it readily accessible in case contamination ruins the entire supply chain and everything needs to be rebuilt. The backup provides a solid foundation to restart operations.
- Develop an Incident Response Plan. Collaborate with other personnel to develop a comprehensive incident response plan in the event of an incident. That way, workers will know what to do when an attack happens and can maintain efficiency until operations are restored.
The same information that unlocks unprecedented efficiency and innovation also presents a lucrative target for malicious actors. Therefore, protecting big data must be integrated into a company's data strategy. A proactive stance defends against threats and builds the trust and stability necessary to lead the industry's future confidently.
Lou Farrell is the Senior Editor at Revolutionized, specializing in writing about Technology, Computing and Robotics.
