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Data Security

The latest News and Information on Data Security including privacy, protection, and encryption.

What Are the Benefits of Using Data Masking Software in Ensuring Security?

Businesses face a crucial challenge of safeguarding sensitive data while ensuring compliance and enabling seamless operations. Data masking software emerges as a powerful solution, striking a balance between robust protection and practical utility. This innovative technology transforms sensitive information into fictitious yet realistic data, rendering it unrecognizable to unauthorized individuals while preserving integrity for legitimate uses.

The Top 8 Endpoint DLP Solutions in 2024

Endpoint Data Loss Prevention (DLP) solutions are critical tools for organizations looking to safeguard sensitive information from insider threats, unintentional leaks, and external attacks. These solutions monitor, detect, and block the transfer of valuable data outside company networks, ensuring compliance with data protection regulations. In this post, we’ll explore the top eight endpoint DLP solutions that offer robust security features, ease of use, and integration capabilities.

How Do Cybercriminals Gather Personal Information About Their Targets?

Cybercriminals gather personal information about their targets by using social engineering techniques, looking at social media accounts and collecting data that gets leaked from public data breaches. The more personal information a cybercriminal can collect about their target, the easier it is for them to launch cyber attacks that their targets will easily fall for. Continue reading to learn more about how cybercriminals gather their target’s personal information and how you can keep your data safe.

How to Protect Your Business From API Data Leaks

Application Programming Interfaces (APIs) are rapidly becoming the primary attack vector for cloud native applications. In fact, according to one study, 92% of organizations have already experienced a security incident resulting from insecure APIs. This is because loosely coupled microservices predominantly intercommunicate via APIs. In this video, we will analyze a ‘ripped from the headlines’ case-study example of data leakage via insecure APIs. Then we will examine various API vulnerabilities that can be exploited by attackers to enable data leaks, including Broken User Authentication (BUA), Broken Object Level Authentication (BOLA), and Broken Function-Level Authentication (BFLA).

How Should Sensitive Information Be Stored?

When we think about storing sensitive information, two types of information come to mind: digital data and physical data. While physical data can be securely stored in a physical vault, digital data should be stored in an encrypted cloud storage solution to protect it from common cyber threats. Continue reading to learn the best ways to store your sensitive physical and digital information, plus the storage methods to avoid.

Building your own AI app? Here are 3 risks you need to know about-and how to mitigate them.

After the debut of ChatGPT, and the ensuing popularity of AI, many organizations are leveraging large language models (LLMs) to develop new AI-powered apps. Amidst this exciting wave of innovation, it’s essential for security teams, product managers, and developers to ensure that sensitive data doesn’t make its way into these apps during the model-building phase.

5 things you need to know to build a firewall for AI

Everywhere we look, organizations are harnessing the power of large language models (LLMs) to develop cutting-edge AI applications like chatbots, virtual assistants, and more. Yet even amidst the fast pace of innovation, it’s crucial for security teams and developers to take a moment to ensure that proper safeguards are in place to protect company and customer data.

Improve Data Governance with DSPM Classification

Businesses struggle to find and protect sensitive data scattered across various sources. Manual tagging for classification is error-prone and inconsistent. Data Security Posture Management (DSPM) automates discovery, classification, and remediation – finding sensitive data, applying consistent tags, and fixing past mistakes. This ensures efficient and accurate data security, especially with ever-growing data volumes.

Secure Collaboration with DSPM Access Controls

Cloud storage is convenient but misconfigured access can expose data. Data Security Posture Management (DSPM) finds publicly accessible files and folders, fixing them to prevent leaks. It also tackles hidden risks in folder sharing by detecting sensitive information and preventing accidental oversharing. By automatically fixing these issues, DSPM keeps your cloud data secure while enabling collaboration.

Protect Data-at-Rest with DSPM Encryption

Data breaches threaten valuable info like PII and financial records. Data Security Posture Management (DSPM) with AI helps you find sensitive data and secure it. Encryption scrambles data using keys you can customize. DSPM automates encryption and enforces data protection policies to keep your information safe.