As organizations harness the power of data to drive innovation and growth, they simultaneously grapple with the complexities of protecting this data. However, the road to effective data security is fraught with challenges even when using a data security platform. This article explores the challenges of fully leveraging your data security platform and how to overcome them by discussing the following topics:
The Rising Importance of Data Security Platforms
The digital age has not only ushered in an exponential growth in data, but it has also introduced new paradigms that necessitate robust and automated data security. Here are three key reasons why data security platforms have become more important than ever:
- Shift to cloud computing: Cloud environments can simplify data storage and processing, but they also introduce new vulnerabilities. Nearly 40% of businesses experienced a data breach in their cloud environments last year, highlighting the need for secure platforms to protect this data.
- Rise of remote and hybrid work: As employees access sensitive data from various networks, often personal and less secure, the risk of data breaches increases. Over 60% of companies that offered remote work options experienced a data breach caused by remote work. Effective and easy-to-use protections through a data security platform are crucial for successful hybrid and remote work environments.
- Increasing threat of ransomware: Ransomware attacks, where hackers encrypt an organization’s data and demand a ransom for its release, can cripple businesses and they’re on the rise. In just the first half of 2023, victims of ransomware paid attackers nearly $500 million to recover from the ransomware.
The Major Challenges of a Data Security Platform
Data security platforms must overcome several substantial challenges to ensure the effective protection of sensitive data.
Data Complexity
The diversity in the types and sources of data that an organization handles presents a significant challenge. For instance, structured data such as databases, unstructured data like emails or documents, and semi-structured data such as XML files, all require unique security measures.
Additionally, the rise of IoT devices has increased the number of data endpoints, making it tougher to ensure comprehensive data protection. Each device represents a potential entry point for cybercriminals, increasing the complexity of securing the network.
Compliance and Regulatory Challenges
Compliance with data protection regulations is another hurdle for data security platforms. Laws like the General Data Protection Regulation (GDPR) in Europe, and the California Consumer Privacy Act (CCPA) in the United States, impose stringent requirements on data protection.
Non-compliance can lead to severe penalties, including substantial fines and reputational damage. Furthermore, these regulations are not static; they evolve over time, often in response to new threats or technological advancements, adding to the complexity of maintaining compliance.
Technological Advancements and Adaptability
Rapid technological advancements present both opportunities and challenges for data security platforms. Emerging technologies like cloud computing and AI can enhance data storage and analysis capabilities.
However, they also introduce new security vulnerabilities. Cloud storage solutions allow users to access data from anywhere, which can increase the risk of data breaches caused by unprotected end devices. Cybercriminals can leverage AI to generate personalized phishing emails increasing their effectiveness.
To provide effective protection, data security platforms must quickly adapt to these technological changes.
Insider Threats
Data breaches aren’t only caused by external threats; insiders within an organization can pose a significant risk. These insider threats can be either intentional (e.g., a disgruntled employee deliberately leaking information) or unintentional (e.g., an employee accidentally sharing sensitive data).
According to the 2023 Insider Threat Report by Cybersecurity Insiders, an insider attack occurred in 60% of organizations. Mitigating these threats requires a combination of technical measures, like access controls and user activity monitoring, and organizational measures, such as security awareness training and a strong security culture.
Solutions and Best Practices to Overcome These Challenges
Overcoming challenges in data security requires active implementation of advanced technologies, operational best practices, and effective management strategies.
Data Classification and Management
The process starts with data discovery. A data security platform should automatically and continuously seek out sensitive data and add it to its data inventory. By actively managing and classifying data, organizations can effectively target their data protection strategies. High-value and sensitive data can be encrypted and subjected to stricter access controls. Organizations can also implement network segmentation to isolate high-value and sensitive data further protecting it. This strategic focus allows companies to make the most of their resources by allocating more resources to critical data.
Regular Compliance Audits and Employee Training
Conducting regular compliance audits helps organizations proactively identify and address potential compliance issues, avoiding costly penalties and reputational damage. Moreover, investing in employee training ensures that everyone in the organization understands and adheres to compliance requirements, thereby reducing the risk of inadvertent violations.
Adopting Advanced Technology Solutions
Proactively adopting new or recently updated solutions allows organizations to stay ahead of potential security vulnerabilities. But, you need to fully assess a third-party solution’s security capabilities. Having current and applicable data security policies provides a basis from which to evaluate these solutions and ensures the security of your data platform. Ensuring that third-party providers follow robust security protocols protects your data from third-party breaches. You can assess a third party’s security using the Cloud Security Alliance’s CAIQ evaluation questions.
Implementing Strict Access Controls and Monitoring Systems
Strict access controls and monitoring systems can significantly reduce the risk of insider threats. Data access controls, such as role-based access controls or attribute-based access controls, limit the exposure of sensitive data, while monitoring systems detect suspicious behavior, providing an additional layer of security. These measures together form a robust defense against both intentional and unintentional insider threats.
Build a Data Security Culture
Fostering a strong security culture turns every employee into an active participant in the organization’s data security efforts. Consistent and updated data governance policies contribute to a data security culture. Regular security awareness training equips employees with the knowledge to avoid common security pitfalls, making them a valuable first line of defense against security threats.
Conclusion
Balancing the need for data accessibility with robust security is a complex task. But, data security platforms can help. They can create a proactive approach to data security within your organization to not only safeguard your data but also facilitate its effective use.
Satori‘s data security platform provides just-in-time and self-service data access to help you strike the perfect balance between accessibility and security to streamline data access while maintaining data compliance. It provides dynamic security and access control to ensure that rapid access does not compromise data security.
Book a demo today to see how Satori can help you overcome the challenges associated with data security platforms.
