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DATA LOSS PREVENTION
Data Detection & Response
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DATA PROTECTION
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DATA PRIVACY FOR AI
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Prevent Secrets Sprawl
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Encrypt Sensitive Data Automatically
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Published on
Oct 24, 2024
Data loss prevention (DLP) is an important part of data security and compliance in the cloud, especially for organizations regulated by HIPAA. Furthermore, healthcare teams using Slack must follow specific guidelines laid out in Slack’s Business Associate Agreement (BAA).
Learn how to more securely manage your remote workforce to become a true remote-first organization.
Data loss prevention (DLP) is an important part of data security and compliance in the cloud, especially for organizations using SaaS applications that store high volumes of data. Companies turn to DLP solutions to discover, classify, and protect their sensitive data in environments like Google Drive, and maintain compliance with regimes like GDPR, CCPA, PCI, and more.
As a result of growing data breaches governments across the world are beginning to implement compliance regimes which require organizations to understand the quantity and nature of that data they’re ingesting. The Nightfall developer platform is designed to help organizations accomplish this with APIs that allow developers to stream data to our machine learning detectors for classification.
Learn how to discover and prevent the leakage of customer information and other business-critical data within Salesforce
HIPAA compliance is a complex topic. That’s why we’ve complied the most frequently asked questions with detailed answers to help guide you through the compliance process.
Data loss prevention (DLP) is an important part of data security and compliance in the cloud. Companies turn to DLP solutions to discover, classify, and protect their sensitive data in collaborative environments like Slack, and maintain compliance with regimes like HIPAA, GDPR, CCPA, PCI, and more.
Healthcare organizations require an effective way to scale HIPAA compliance enforcement across their cloud applications without excessive time and resource commitment. This requires a high-accuracy solution capable of parsing context to identify PHI violations as they are defined by HIPAA
Exposure of secrets like API keys is a common problem that can lead to privilege escalation of security incidents if accessed by malicious actors. Addressing this problem requires a solution tuned to detect secrets in any format, wherever they are.
This checklist highlights core aspects of PCI compliance and security standards, as well as how to implement them.
Protecting your data in the cloud starts with developing a cloud security policy to govern user access, meet compliance standards, secure data in use, and maintain defenses against cyber threats.
Data loss prevention (DLP) is an important part of data security and compliance in the cloud, especially for organizations using SaaS applications that store high volumes of data. Companies turn to DLP solutions to discover, classify, and protect their sensitive data in environments like Jira, and maintain compliance with regimes like GDPR, CCPA, PCI, and more.
Learn how to detect the leakage of secrets, credentials, and other sensitive data across your code repositories with this brief guide.
Google Drive is core to enabling collaboration and access to business-critical files, but it is difficult to audit which files within Google Drive have sensitive information and who has access to them.
Learn how to detect the leakage of secrets and other business-critical data within Atlassian Confluence
SaaS applications enable healthcare organizations to leverage digital transformation to improve healthcare outcomes and change lives, but ensuring your organization remains compliant while adopting cloud applications can prove challanging.
As organizations continue to rapidly adopt SaaS and cloud infrastructure, IT and security teams are becoming stretched. The expanding universe of business-critical cloud applications creates increased risk for the exposure of sensitive data like PII, PHI, as well as secrets and credentials. Cloud data protection is essential to ensuring employees follow best practices for handling sensitive data and that systems are configured in a manner that prevents unauthorized access.
In order to fulfill the HIPAA Security Rule, covered entities and business associates must evaluate the implementation specifications or requirements listed under each Security Rule Safeguard in order to determine how best satisfy each. We’ve built out a matrix to explain each individual HIPAA Security Rule requirement in plain English.
Install in minutes to start protecting your sensitive data.
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