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Cyera announces automated remediation actions including Wiz, Splunk, Jira, Microsoft Teams, Slack, and more

Learn the difference between DSPM and legacy data security tools

Learn the difference between DSPM and traditional data discovery and classification tools and features

Read about DSPM vs. CSPM, CNAPP and cloud infrastructure security tools. Learn how data security can best be addressed by DSPM

Read about the Cyera and Cohesity partnership to protect and back up critical data

Metadata description: This blog talks about the data security risks and needs for travel and hospitality firms.

Unlock the potential of your Data Loss Prevention (DLP) strategy with Cyera's Data Security Platform. Discover the limitations of traditional DLP tools and how Cyera provides a holistic data-centric approach to enhance data security, reduce false positives, and ensure compliance. Gain data transparency and protect sensitive information effectively with Cyera.

Learn how generative AI is transforming software development and the popular AI solutions developers are adopting. Discover the benefits and data security implications of using AI in coding, and find out how Cyera's SafeType extension helps mitigate privacy risks. Read the blog now!

Discover the challenges and importance of data labeling and how it can enhance your data security strategy. Learn about Microsoft Information Protection (MIP) and its role in data classification. Find out how Cyera can help you automate data labeling and operationalize your MIP implementation.

Discover the importance of data security for retailers in our latest blog post. Find out why retailers need to address data risks, classify their data, and implement access controls. Learn how Cyera can help you protect your customer data and minimize vulnerabilities. Schedule a demo today!

Click to learn the most common data security vulnerabilities of AWS messaging queues and 4 best practices to secure your sensitive data on SQS

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.

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.

The Cyera Labs security research team released SafeType™. This extension for Chrome and Edge browsers lets you know when your ChatGPT session includes sensitive data and enables you to anonymize the information.

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.

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.

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

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.

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.