Your data is the lifeline of your business. Keeping it secure should be your top priority. With proper data security, your enterprise is safe.
As Clive Humby remarked in 2006: “Data is the new oil.” It is the most valuable resource in today’s technology world. Threat actors harvest goldmines of information and exploit them for malicious reasons. And before you know it – your business gets compromised, and users lose trust.
In this article, we’ll comprehensively provide the meaning of data security, its types, and other aspects of data security threats. You’ll also learn various strategies, technologies, and tools to implement data security practices.
What Is Data Security?
Data security is a series of preventive actions that safeguard digital information from unauthorized access, theft, or fraud. Simply put, data security maintains your data’s confidentiality, integrity, and availability.
The process includes data from almost every vulnerable entity, such as hardware, software, storage devices, access points, and administration controls. What do you need to ensure robust data security? You must follow certain practices like access controls and backups and employ tools and technologies like encryption and data masking.
Need for Data Security
Why do you need data security? Frankly, it’s not about you; instead, everyone’s involved. Data security helps you avoid the following risks and problems in your organization:
- It follows legal obligations like GDPR and HIPAA to protect customer data and avoid fines
- Prevents the misuse of sensitive user data like payment details
- Eliminates reputational risks posed by data breaches
- Prevents potential financial loss from cases like ransomware, malware, phishing, DDoS, and other cyber attacks
- Improves innovation and profitability by preventing the compromise of trade secrets and intellectual property rights
Benefits of Data Security
When you employ the best data security across your organization, you enjoy the following benefits:
- Safety of user information on your endpoints from malicious attacks
- Compliance with various mandatory state regulations, avoiding fines or punishments
- Meaningful user trust and competitive edge in the marketplace
- Early detection of security vulnerabilities before any data breach
- Low cost and improvement in development productivity
What Are the Principles of Data Security?
Data security includes three core fundamentals: confidentiality, integrity, and availability. Each one strives to protect your sensitive data from exfiltration.
- Confidentiality ensures that users can access only data they’re authorized for using proper credentials. Measures like role-based access control or multi-factor authentication establish confidentiality.
- Integrity brings trust by verifying that data is reliable, accurate, and not altered. Methods like encryption and digital signature help to protect data integrity.
- Availability guarantees that you can easily and safely access data at any time.
Types of Data Security Threats
You can’t always focus on making your data secure from an external attack like ransomware. Sometimes data security becomes exposed due to internal events as well, like human error or insider misuse. Therefore, you should always make your system ready to counter any type of data security threats, such as those given below.
1. Malware
One of the most common cyberattacks is where attackers infect endpoints and networks with malware by exploiting open vulnerabilities in the infrastructure.
In this way, the attacker gets entry into the system to cause serious data security events like data theft, extortion, and network damage.
2. Phishing
Another common cyberattack is phishing, where the attacker enters the system by impersonating a trusted source. How do they compromise the system? They manipulate victims by sending malicious links, attachments via email, or messages where it appears as though they were sent from a trusted sender.
Once the victim accesses the malicious link from the attacker, it allows the attacker to gain access to sensitive data using sophisticated tools that expose the entire system.
3. Ransomware
Ransomware is one of the most prevalent data security risks that cause high financial loss. As soon as the attacker gains sensitive data access, they encrypt the entire data storage and demand a ransom fee from the victim to restore or return the data.
Sometimes, the compromise of the backup data server takes down entire infrastructure and services, leading to outages and no way to recover.
4. Internal Threats
In addition to external data security threats, they can also arise from internal sources, mainly due to insider misuse or human error. Many data breaches happen not due to cyberattacks but as the result of accidental or negligent exposing of sensitive information by employees.
Lack of employee training about security policies or intentional effort for personal gain puts the organization’s data at risk.
5. Physical threats
Surprisingly, sometimes natural disasters like thunderstorms, hurricanes, and floods also become threats to data security strategy by causing loss of data storage devices. Even extremely hot weather causes overheating in the data center, leading to equipment failure and sometimes data loss.
Data Security Best Practices
Before you get your system up and running, you also need to execute the following practices that help to secure data in its entire life cycle.
#1. Data Encryption
Encryption is the process of converting the original form of data (plaintext) into an unreadable format (ciphertext). Data encryption ensures that even if data is lost or stolen, it can’t be decoded to misuse or modify it. Data becomes completely useless for unauthorized people without a decryption key.
#2. Access Control
One of the best ways to restrict unauthorized access to your data is to have an access control system for both digital and physical space.
Using role-based access control, you can build an access control list (ACL) containing users’ specific roles and a set of permissions for access to files and directories. This approach not only reduces the risk of unauthorized access but also limits the sphere of attack if an attacker gains any user access via insider threat.
Likewise, for access control to areas or premises like server rooms or data centers, you can employ security measures such as key cards, retina scans, and other biometric authentication.
#3. Regular Audits and Monitoring
Since cyberattack is not limited to one-time attacks, you’ll require regular data security audits to detect any vulnerability in an organization’s infrastructure at any point in time.
Beyond just audits, you also need to have constant activity monitoring to keep analyzing data usage patterns by authorized users. In the case of irregular user behavior, it should highlight the same to avoid security incidents.
#4. Data Backup and Recovery
This approach helps you prepare beforehand for any potential data security incident that happens. Data backup mitigates business disruption in case of data breach, hardware failure, or software failure.
Having a backup of all data can help you avoid data loss in the case of a natural disaster threat.
#5. Employee Training and Awareness
Employee education is an underrated data security practice. Employees should be aware of the security policies of the organization and regularly update their knowledge to not be caught in the web of social engineering attacks.
Recognizing malicious tactics and responding to them without exposing any information can layer up the data security of the organization.
Data Security Technologies and Tools
Along with safeguarding practices, you can also make use of important tools and technologies to further enhance the level of data security.
1. Antivirus Software
The most traditional and easily available solution for the security of the system and its data. Antivirus software can help you identify vulnerable endpoints or malware on your system that can cause severe data damage.
2. Firewalls
A firewall is a network security device that helps to protect your internal network from any malware infection or unauthorized access through an untrusted external network. You can build dynamic security rules to ensure data protection by monitoring and filtering incoming and outgoing network traffic.
3. Intrusion detection systems (IDS)
Additionally, you can attach another network security tool to monitor network traffic. An intrusion detection system can alert you to any malicious activity or policy violations when it detects threats in the network. Most of the modern firewalls include IDS features to identify and block potential threats before they cause any harm.
4. Multi-Factor Authentication (MFA)
MFA is one of the most prevalent data security processes that adds an extra layer of security by strengthening identity and access management (IAM) policies. It requires two or more forms of user authentication methods, like passwords and security tokens or fingerprints, to access their data.
5. Data Loss Prevention (DLP) Solutions
DLP is a package of data security tools that not only helps in detecting and preventing data loss, misuse, and breaches but also in complying with relevant data regulations.
Combining the capabilities of multiple tools, like automation, firewall, antivirus, and endpoint security, DLP provides you with alerts and even enables encryption to isolate data when any security incident is detected.
Implementing a Data Security Strategy
Apart from data security tools and practices, let’s discuss various strategies that you can follow for safeguarding data.
-
Assessing Risks and Vulnerabilities
As infrastructure grows, you should carry out regular assessments of the data security system. It can help you to identify potential risks or vulnerabilities in the system that need fixing, like out-of-date software.
You can also employ vulnerability assessment tools to automate the process and get comprehensive reports containing all the weaknesses hackers can exploit.
-
Developing Policies and Procedures
To protect data across the organization, you should develop a unified data security policy for both internal and external threats and make all employees aware of it. The policy should keep monitoring data and alert security officials when any tampering is detected.
Once a malicious activity is found, you should also prepare a comprehensive procedure to follow that can restrict the intruder from entering the system.
-
Incident Response Planning
What if a hacker attacks the system, causing a data security incident? In such a situation, you should always have a response plan that can instruct how to respond to cyberattacks such as ransomware.
The plan should be designed in such a way that reduces the impact of the attack, resolves incidents promptly, and limits the influence range of hackers.
-
Continuous Improvement and Updates
Data security demands regular attention through tool updates to the latest version and quick patch management for vulnerabilities before hackers can exploit them. Even regular improvements to overall data security strategy also need to be made to counter sophisticated cybercriminal attacks.
Compliance and Regulatory Considerations
Data incidents like data breaches not only affect the company but also put user credentials at risk. Therefore, countries have started putting mandatory regulations in place, including punishments for companies that violate or fail to comply with data protection laws. Let’s discuss some of the important regulations that you should keep in mind before implementing a data security policy for your organization.
General Data Protection Regulations (GDPR)
Although GDPR applies to European citizens only, it’s one of the most prevalent data protection laws that form a basis for other countries to follow as well.
GDPR aims to put control of users’ data in their hands, prioritize privacy rights, and regulate how organizations process users’ personal data securely. Failing to protect data from damage and destruction can lead to a fine of 4% of a company’s annual turnover or €20 million, whichever is highest.
Health insurance portability and accountability act (HIPAA)
HIPAA is a US legislation that aims to protect patients’ health data. It applies to all healthcare providers and businesses and restricts them from disclosing the health data of patients without their consent.
Like GDPR, HIPAA also carries a fine of up to $50,000 per offense, a maximum annual fine of $1.5 million, and a potential prison term of up to 10 years.
Sarbanes-Oxley (SOX) Act
SOX is yet another US legislation that aims to protect shareholders, employees, and the public from fraudulent financial reporting by corporations. It mandates that organizations follow certain practices while accounting for financial records and reporting.
Payment card Industry Data security standard (PCI DSS)
PCI DSS is widely accepted by payment card companies as a data security standard that secures cardholder information. It aims to enhance the security of credit, debit, and cash card transactions and protect cardholder credentials from misuse.
Like GDPR and HIPAA, failure to comply with PCI DSS also results in monthly fines of up to $100,000 and the suspension of card acceptance.
How SentinelOne Can Help
Safeguarding data not only requires defending endpoints like computer workstations but also to the entire infrastructure including the network and database, as intruders can access data from any vulnerable space.
SentinelOne helps you implement the best data security practices and workflows for your entire cloud estate. It consolidates security tools, eliminates data silos, and strengthens your overall data security posture. You can enhance multi-cloud compliance and ensure adherence to the latest data protection guidelines and industry standards.
Here’s what SentinelOne offers:
- Singularity™ Cloud Data Security – Provides AI-powered malware scans for Amazon S3, NetApp, and any cloud storage. Its in-line file scanning via SentinelOne advanced AI Detection Engines delivers verdicts in milliseconds. You can instantly encrypt and quarantine malicious files.
- Simplified administration – Leverage scalable, load-balanced protection against file-born malware and zero-days with one platform for cloud workloads, data security, endpoint, and identity.
- Singularity™ Data Lake for Log Analytics – Capture and analyze 100% of your event data for monitoring, analytics, and new operational insights. Detect and resolve incidents in real time. Make lightning-fast queries and get petabyte scalability.
- Create custom dashboards, Slice and dice data by filters or tags, and automatically generate facets in seconds.
- You can protect your data across endpoints with Singularity™ Endpoint. Extend your endpoint data protection using SentinelOne Singularity™ XDR services. Correlate events from native and third-party telemetry into a complete Storyline™ of an attack across your security stack, from start to finish.
Explore SentinelOne products to receive 24/7/365 threat-hunting services, triaging capabilities, and more today. Book a free live demo to find out.
Data Security Is Critical in Today’s World
Noncompliance with data security policies not only brings data loss or damage but also significant financial and reputational loss. With an increase in AI-powered cyberattacks, the need to implement advanced data security practices has become necessary.
Along with security operations, modern tools and technologies like multi-factor authentication are crucial to have in your data security layer. In addition, you need to prioritize the strategy of regularly assessing risk, developing security policies, and keeping software up-to-date with its latest version.
Frequently Asked Questions (FAQs)
1. What is meant by data security?
Data security is about maintaining the confidentiality of data using access control, ensuring integrity and reliability of data using modern techniques like digital signature, and keeping it available safely all the time.
2. Why is data security important?
Data security is important not only for the safety of information but also for following mandatory global legislation like GDPR to avoid legal actions and financial fines and ensure the faith of the public in the organization’s product.
3. What is the difference between data privacy and data security?
The primary difference between data privacy and data security lies in its goal. Data privacy focuses on establishing a right to control and governance over user data like credit card and bank details. Whereas data security focuses on protecting user data from intruders’s unauthorized access for malicious purposes.