Blog

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.

Cyera, a revolutionary data security company, celebrates its latest recognition by the Stevie Awards as the Bronze Stevie® Award winner in the Tech Startup of the Year - Services category. Despite being only two years old, Cyera has secured $60M in funding, built a comprehensive data security platform, and garnered multiple prestigious awards. Their platform provides real-time visibility, automation, and proactive controls, empowering organizations to safeguard their sensitive data across cloud environments and maximize its business value.

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.

Cyera's Unified Data Explorer provides security professionals with a centralized platform to understand their data and manage sensitive data exposures. It covers multi-cloud data and provides instant and effortless visibility. The tool also provides deep context, proximity of data, a single source of truth, AI-generated insights, and actionable prioritization of issues, making it easy for security professionals to understand their data and take action to remediate it.

The average time to detect a data breach is roughly nine months, which gives attackers plenty of time to access a company's environment and extract valuable data. To counter this, companies can implement multi-cloud data detection and response (DDR) to respond to data breaches quickly, minimize the attack surface, and reduce the mean time to respond. Multi-cloud DDR can analyze events generated across cloud environments, contextualize them, and provide remediation guidance to resolve an incident quickly. Its benefits include rapid detection, reduction in false positives, and a unified approach across SaaS, IaaS, and PaaS environments.

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.

Financial services firms face persistent data security challenges due to increasing volumes of data and the evolving nature of cyber attacks. Attack vectors that security teams may miss include phishing, cloud vulnerabilities, and insider risks. Financial services firms must answer five key questions about their data to improve their data security, including where it is, what it is, how it is used, how to secure it, and how to defend it. A holistic data security solution like Cyera's can help financial services firms inventory, classify, contextualize, and safeguard their data to prevent data loss through popular attack vectors.

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.

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 just our first year out of stealth, Cyera is leading the fast-growing data security posture management (DSPM) market.

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.

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.

Data is increasingly one of the most valuable assets of any modern-day business. As such, it is of utmost importance to secure it from attack and misuse. For security teams, awareness of what data the business manages, where it is located, and who has access to it is a significant challenge. Unfortunately, it is also a precursor for most data security technologies to function correctly, making it difficult or impossible to fully identify risk and take appropriate action.

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.

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

In today’s reality, data breaches are a daily occurrence. This only continues to prove that a data-blind approach is no longer an option. Here's how data security management is changing in 2023.

Cyera provides businesses with consistent visibility and a unified data security control plane.

Today’s a big day for everyone at Cyera. We’re excited to share that we’re launching the company with $60M in financing from Sequoia, Accel and Cyberstarts.