Thought Leadership

In an era where cloud computing is no longer a luxury but a necessity, understanding the intricacies of data security within the cloud environment is crucial. But what does data security in cloud computing entail? At its core, it's about safeguarding your data when it's stored in remote servers—often across a complex network of data centers operated by cloud service providers.

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Protecting sensitive data during M&A activities

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We've gathered 30+ of the most interesting data security statistics to provide you with a better idea of the present state of data security.

Read about CCPA data security requirements

Learn about HIPAA compliance from a data security perspective

Read about how retailers can safeguard and deliver value from data.

When does the collection of information about you stop? As part of an organization, you may ask how this information can be utilized to better serve your customers? Left unchecked, data can continue to amass with no defined end date. But there are guardrails to reign in how data is collected and used. These guardrails are expressed through the principle of “purpose limitation.” 

Explore how marketing and sales teams are using generative AI to automate content creation, lead generation, customer service, and personalized recommendations. However, be mindful of potential data security implications like biases, privacy risks, unauthorized access, and compliance challenges. Mitigate these risks with strategies such as human verification, encryption, and access controls. Discover SafeType, a browser extension for secure ChatGPT sessions, and join our community to contribute to the conversation on protecting sensitive data in generative AI.

The blog discusses the FTC Safeguards Rule, which requires financial institutions to protect customer information. It explains the expanded scope of the rule and the need for businesses to implement comprehensive information security management systems. The blog also mentions a data security platform, Cyera, that can help businesses achieve compliance and strengthen their data security measures.

Cloud-first software companies struggle to manage and secure their vast amounts of data, including sensitive types like source code, product roadmaps, collaborative documents, and customer data. Legacy security solutions fall short due to manual processes, limited classification, lack of context, and scalability issues. Cyera's modern data security platform offers automated data discovery, deep context, intelligent classification, and real-time remediation, ensuring cyber-resilience and compliance for software companies.

The blog highlights the integration of Azure OpenAI into the Cyera Data Security Platform, enabling generative AI models for faster and more precise data classification, deeper business context, and anomaly detection. Cyera's advanced machine learning capabilities automatically detect, classify, and understand data with high precision and speed across various cloud environments. The platform's ability to uncover and remediate data exposures help businesses make informed decisions regarding data security, privacy, and governance.

This blog discusses the challenges of data security in the semiconductor industry due to global supply chains and sensitive information. It highlights the importance of protecting intellectual property and introduces Cyera as a solution. Cyera's data security platform offers advanced machine learning to discover and classify sensitive data such as CAD designs, source code, product roadmaps, and specifications. It helps prioritize protection measures, validates controls, and provides real-time security insights to prevent data breaches. Schedule a demo to start safeguarding your intellectual property.

The GDPR is a privacy statute that sets high standards for data protection in the EU, with strict enforcement and fines for violations. US companies face challenges complying with GDPR's transfer regulations due to inadequate privacy protections and surveillance laws. Cyera offers solutions to manage data transfers, discover and protect data, and ensure compliance with GDPR requirements.

Financial services firms face challenges in maintaining data security compliance as they adopt cloud services and navigate evolving regulations. Cyera offers solutions to address core compliance challenges, including continuous discovery of nonpublic personal information, monitoring without disruption, data risk assessment, dynamic data store inventory for audits, and maintaining segregation of duties. By taking a data-centric approach and providing deep context on data, Cyera enables security teams to proactively manage risks, ensure compliance, and protect sensitive data.

The blog highlights the high likelihood of a company experiencing a data breach, especially for large organizations with valuable data. To minimize the impact of a data breach, companies apply various security controls to their data. However, inconsistencies in applying these controls could lead to sensitive data exposure. The blog emphasizes the importance of auditing the effectiveness of data security controls to prevent data breaches and reduce their impact.

The post covers the common problem of misplaced data and its impact on business decisions. It discusses the various causes of this issue, such as human error and system malfunction. The blog also provides practical solutions to prevent misplaced data, such as implementing data quality checks and improving data management processes.

Data classification technology has remained the same for over a decade, frustrating security, data, IT professionals and other employees. It is hard to implement and requires constant human intervention, only providing limited information. A new approach, Advanced PII Classification, is a cloud-native and agentless solution that classifies data and captures deep context about the data with high accuracy and speed, making it easy to implement and execute quickly, resulting in highly accurate data classes.

The blog by Ari Weil highlights the importance of resilience in both personal and business contexts. Resilience in business involves adapting to disruptions while maintaining continuous operations and safeguarding people, assets, and brand equity. Self-awareness, mindfulness, self-care, positive relationships, and a sense of purpose are important for developing resilience. In the modern era, data breaches are a significant threat to business resilience, and mindfulness of data is crucial to maintaining business resilience. To ensure business resilience, businesses need to be intentional about cultivating knowledge about their data, its value, and how to manage it appropriately. Cyera, a data security platform, can help businesses gain deep knowledge of their data. Ultimately, reaching a common understanding of what represents value is business-critical, and striking a balance between agility and cybersecurity is where the magic happens.

Pharma data faces a double dose of cyber threat. While profit-motivated actors continue to target pharma companies for monetizable data (last year, Industrial Spy offered to sell stolen Novartis data on the darknet for $500,000), nation-state-sponsored threat actors are also going after the pharma industry to score political points. The resulting cyber risk can be so vast that it is challenging to quantify. Case in point, Merck is still fighting billion-dollar court battles after some of its subsidiaries became a target for Russian state-backed cyber criminals in 2017.

Steve Rog, our VP of Sales, discusses the shift in cybersecurity from perimeter protection to data security posture management (DSPM), which has gained momentum due to advancements in artificial intelligence and machine learning. DSPM offers a means of holistically addressing a company's data security and breaking down silos. AI and ML allow for accurately discovering, classifying, and identifying data risks. The author encourages businesses to prioritize data security by requesting a free Data Risk Assessment.

In this Q&A, Cyera and webinar guest Forrester discuss data discovery and classification, and the future of data security in the cloud era.

Over the past few decades, many organizations have adopted data loss prevention (DLP) solutions to secure their sensitive data. This initially worked in the early days of the Internet, but the reality is that legacy DLP solutions can’t effectively prevent data loss in today’s cloud-first landscape.

Many of us already have tools and processes to secure personal information. The effectiveness of those solutions is pushed to the limit because compliance requirements around data evolve year after year. Some of the major US privacy laws go into effect this year including the California Privacy Rights Act (CPRA), Virginia Consumer Data Protection Act (VCDPA), and Colorado Privacy Act (CPA). These laws share similar themes when it comes to defining and securing data.