Data security is a crucial aspect of company operations. With an increasingly competitive marketplace and globalization, protecting your data is vital. In this article, you’ll learn how to ensure your information’s confidentiality, integrity, and availability.
Confidentiality, Integrity, and Availability (CIA Triad)
In information security, the CIA triad refers to three core concepts: confidentiality, integrity, and availability. These concepts are designed to guide an organization’s overall security policy and are essential for assessing vulnerabilities and creating solutions.
Initially created to ensure the integrity of electronic data, the CIA triad is still relevant today. While it doesn’t have a single creator, it emerged over time as a standard model for information security systems.
Often used as an information security training tool, the CIA triad consists of three guiding principles: confidentiality, integrity, and availability. Each has its merits, but each works in tandem with the other.
Confidentiality focuses on protecting a business’s data. Data should be kept confidential, which means only authorized users can access it. This prevents identity theft and legal problems. It also protects against unauthorized changes to the data. Naturally, you want the best defenses as a business owner, but you might need help knowing where to begin. An antivirus for business would be a good start.
Integrity is critical in information security, as it ensures that the data is trustworthy and can be trusted to be correct. For example, a purchase can be reflected in an account.
Real-Time Systems and Data Monitoring Technology
Real-time systems and data monitoring technology are vital to ensuring the security of your organization’s IT infrastructure. Companies seek ways to ensure they have the tools necessary to combat cyberattacks as they become more prevalent.
Real-time data collection and processing allow administrators to respond to an event faster and catch a malicious actor before it’s too late. In addition, real-time data can help organizations optimize their infrastructure elements and improve customer service.
Real-time processing also provides an enhanced view of the environment. It can help predict spikes in service and can prevent network intrusions.
The technology behind these applications is called prescriptive analytics. It uses machine learning and other algorithms to produce an output based on the likely scenarios. This input can then drive infrastructure development and make it more resilient.
Real-time data collection and processing could have been more critical in the past. However, as time went on, such a process became more important. For instance, contact centers can use real-time data to monitor queue management and staff management.
Data Minimization
Data minimization refers to limiting the collection and use of personal information. This includes archiving or eliminating records that are no longer needed. The benefits of data minimization include fewer records, lower costs, and reduced privacy and reputation risks.
Data minimization can be achieved through several steps depending on your business needs. First, you should determine what data is necessary to store and archive. In addition, you should develop a data map to provide an auditable log for compliance purposes.
Data minimization can also be achieved by implementing automatic data disposition policies. It may also involve periodic data scans to clear out tier-one storage.
Data minimization has many benefits, such as improving data management workflows and reducing the impact of cyber attacks. However, companies should be careful to avoid collecting unverified or stale data. These can have a negative effect on business analysis.
Data minimization is also an effective way to reduce data theft. In addition, it can help organizations prepare for new laws and regulations.
ERP Security
If you’re planning to install an ERP system, you must consider its security. The software will likely contain sensitive information, such as personally identifiable information (PII). You must keep the system secure whether you use cloud-based or on-premises software.
The best way to do this is by using a threat detection tool. This tool can monitor multiple threat intelligence sources to detect compromised ERP credentials. It can also identify security events that may be happening within the network. Having an intrusion detection system can also keep your network secure.
Many standard ERP updates are aimed at improving security. These updates are designed to catch potential weaknesses before they’re exploited. Some of these updates can also be aimed at patching up vulnerabilities that have already been discovered.
Despite these updates, you can still face risks. Cybercriminals have great expertise in using ERP applications to exploit vulnerabilities. For example, hackers can use a weak link to make a database vulnerable to attack.
CCPA And GDPR Apply to Small Businesses
When it comes to data privacy laws, many different regulations apply. Small businesses that collect, process or store personal information should be aware of the various rules and potential penalties for violation.
Both the General Data Protection Regulation Act of 2016 (GDPR) and the California Consumer Privacy Act (CCPA) are crucial laws to be aware of. Both apply to businesses in California, as well as those in other parts of the country and abroad. Several states are considering their own versions of these laws.
The CCPA was put in place to protect the personal data of California residents. It requires organizations to provide opt-in consent before collecting consumer data. It also gives consumers the right to privacy and a remedy if they are harmed.
