Strong data security best practices help small and medium-sized businesses (SMBs) reduce data breaches and data loss. They are critical for maintaining customer trust and staying compliant with data privacy laws.
Best practices secure sensitive data through encryption, multi-factor authentication, strong access control policies, data loss prevention strategies, and monitoring systems. These practices prevent data from passing into the wrong hands.
One poor data security incident response may cost your company thousands of dollars in fines and lost time. Put these best practices in place to safeguard your business, your customers, and your bottom line.
1. Classify Business Data by Sensitivity
Categorizing sensitive information helps companies apply the correct level of protection and prevent data breaches. Data is classified based on its sensitivity, business impact, and regulatory requirements.
Information is typically organized into tiers as part of a data security strategy. These include Public, Internal, Confidential, and Restricted. Organizations use risk-based security controls and contract professional data protection and data security services to protect high-value assets.
2. Enforce Strong Access Control Policies
Limiting employee access to only the systems and files they need reduces both insider threats and unauthorized sharing or data exposure. Implement a layered approach focused on the principle of least privilege (PoLP).
Role-based access control (RBAC) and attribute-based access control (ABAC) give employees access to sensitive information based on their job functions. This simplifies management and reduces employee errors.
3. Use Multi-Factor Authentication Across All Accounts
Multi-factor authentication (MFA) significantly lowers the risk of compromised credentials, which can lead to data breaches. MFA requires users to verify their identity using at least two factors.
These factors could include something they know, like a password, something they have, like a phone or security key, or something they are, like a biometric scan. This requirement makes sensitive information much harder for thieves to access.
The most common way user accounts are compromised on applications is through weak, reused, or stolen passwords. SMBs should consider using multi-factor authentication across all accounts.
4. Encrypt Data at Rest and Data in Transit
Encryption protects sensitive information from theft or unauthorized access, whether it is stored internally or transmitted between systems.
Data at rest refers to data stored on hard drives, in databases, or in the cloud. Common methods to secure data at rest include:
- Full disk encryption
- Database encryption
- File-level encryption
Data in transit refers to information moving across networks, like web traffic, emails, or API calls. Encryption heightens data security and protects private data from being exposed. Using these encryption methods improves your security posture:
- Transport layer security
- Virtual private networks
- End-to-end encryption
Small businesses’ security policies should include:
- Storing encryption keys in a separate location from the data
- Implementing key rotation and crypto-shredding
- Avoiding obsolete protocols like SSL (instead, use TLS 1.2 or 1.3)
5. Implement Data Loss Prevention Tools
Data loss prevention (DLP) tools help small businesses detect, monitor, and stop accidental or malicious activity that leads to data being compromised or made unavailable. They also work to prevent data leaks (see the differences between data loss prevention vs data leak prevention here).
These tools monitor data 24/7 across endpoints, networks, cloud applications, and email-sensitive files. Content inspection, pattern matching, and contextual analysis identify sensitive data, like financial information and intellectual property.
DLP tools classify data according to predefined policies and monitor movement in real time. They also track user behavior and data flows and will flag abnormalities like unauthorized sharing, large file downloads, or unusual upload activity. When a policy violation is identified, DLP tools automatically flag files, encrypt data, block transfers, and alert administration.
6. Create Strong Passwords
Small and medium-sized businesses benefit greatly from implementing password managers, secure authentication, and identity controls to protect sensitive data in their operating systems. Strong password and identity management policies protect the main attack surface: weak or stolen credentials.
Password managers eliminate weak, reused, or shared passwords and replace them with strong, unique credentials. Two-factor authentication adds security layers that protect against potential data breaches, even if a hacker gets in through a data leak.
Identity controls ensure that only authorized users gain access to sensitive data. Using strong passwords along with a robust identity management policy creates a strong defense.
7. Train Employees to Recognize Cybersecurity Threats
Employee awareness training helps to prevent data from being compromised through phishing attacks, social engineering, and accidental data misuse. Turn your employees into human firewalls. Workers should know how to recognize red flags, including:
- Urgency
- Spoofed senders
- Suspicious links
Regular training, phishing simulations, and real-world scenarios help people verify identities, avoid risky behaviors, and quickly report suspicious activities. Small businesses that implement employee training to protect sensitive data lower the risk of breaches, financial loss, and reputational damage.
8. Regularly Back Up Critical Business Data
Secure backups protect small and medium-sized businesses in the case of ransomware attacks. As the backup copy of the data can’t be stolen by hackers, it allows the business to get back up and running without having to pay a ransom if their protected data is stolen. A reliable, recoverable copy of sensitive data also prevents operational downtime if data is deleted accidentally.
9. Monitor Systems Continuously for Suspicious Data
Continuous monitoring and audit records help businesses identify problem areas in data use and respond faster to cyber threats. Data security best practices encourage 24/7 monitoring to provide essential real-time, detailed records of user activities, system events, and access patterns. These strategies not only protect information but also minimize damage and downtime after a data breach.
10. Secure Cloud Applications
Cloud security controls and remote access protections reduce risks in modern-day hybrid workplaces. These updated protections focus on zero-trust principles instead of a perimeter-based security mindset. Every user, device, and access request is thoroughly verified before access is granted.
Frequently Asked Questions About Data Security
How do you detect insider threats?
Detecting insider threats involves monitoring employees’ behavioral, technical, and outside indicators that signal data privacy issues. Signs may include employees working unusual hours, pre-resignation activities, social isolation, excessive data downloads, use of unauthorized software, and third-party risks.
How do you implement zero trust architecture (ZTA)?
Zero trust architecture follows a core principle of “never trust, always verify.” To implement ZTA, design an IT strategy for your systems where users and systems are not automatically trusted, even if they are connected to a favored network.
What are common data classification mistakes?
Data classification mistakes include:
- Overcomplicating classification levels
- Relying on manual classification
- Failing to maintain classifications
- Inadequate classification training
These mistakes weaken security measures, potentially leading to compliance failures and data breaches.
Managed IT Services Strengthen Data Security
Small and medium-sized businesses that value data security best practices benefit from working with a cybersecurity team that is dedicated to protecting their sensitive data. An expert managed IT services team will help your business implement these best practices quickly and precisely.
Classifying data, enforcing access control policies, creating strong passwords, keeping backups, and securing cloud applications protects organizations’ reputation, long-term growth, and financial stability. Maintain customers’ trust, stay compliant with regulations, and prevent data breaches by implementing these data security best practices in your company.
