In this tutorial, we will walk through the end-to-end process of scanning your Amazon S3 buckets for sensitive data with Nightfall’s S3 Sensitive Data Scanner. By the end of this tutorial, you will have an exported spreadsheet report (CSV) of the sensitive data in your S3 buckets.
Cloud security is not only good for consumers — but it’s also a requirement for businesses in many industries. Understanding compliance regulations (like GDPR) and security frameworks (like NIST) can help IT teams create strong, layered privacy and security controls and data loss prevention using a range of platforms and integrations. Here are the most common and comprehensive security standards that businesses need to know to be cloud compliant.
Organizations store high volumes of business-critical information in Amazon S3, such as personally identifiable information (PII), credit card information, secrets & credentials, and more. Identifying and protecting sensitive data in Amazon S3 is increasingly time-consuming, complex, and expensive, especially as your organization takes on more data.
Storing files safely in the cloud is one of the foundations of remote work. File sharing platforms like Box were popular before the pandemic for their ease of use and collaboration between users anywhere in the world. Now that we’re living and working in a world where remote work is the norm, they’ve become essential pieces of digital infrastructure.
Data stewardship and protection of customer data is likely to become one of the largest challenges for businesses this decade, with a growing number of countries considering data privacy legislation. For example, in 2020, 30 states within the US considered data privacy bills; that number increased to 38 in 2021. This wave of legislation, kicked off by GDPR, started around 2016 when the world entered the Zettabyte era.
Nightfall’s vision is to power data protection in every app or service. Our native SaaS integrations for apps like Slack, GitHub, and Google Drive already protect organizations, ranging from small startups to the Fortune 100, against data leaks with our machine learning-powered detection engine. Today, we’re excited to announce the launch of the Nightfall Developer Platform, so you can build data discovery, classification, and protection using our powerful APIs.
Data privacy is top of mind for every organization, with individuals wanting reassurance that their data is secure at all times. With the ever increasing number of cloud applications on the market today, security teams are faced with the challenge of keeping track of compounding volumes of sensitive data that can flow internally, externally, and across systems.
Security analytics has become an increasingly popular field as more and more organizations take a different tact to cybersecurity. Historically, IT teams focused on prevention and protection, but today’s priority is detection. Hackers tend to use a wide range of ever-changing tools to exploit vulnerabilities. It can feel like whack-a-mole to constantly try to defend against evolving threats.
From our beginnings as childhood friends to coming up together in the tech industry, Isaac and I would catch up on our adventures as professionals working in Silicon Valley: him in the VC world, and me as an engineer at Uber Eats. We’re both very interested in entrepreneurship, so we would always come back to discussing various business ideas, including a topic we’d both become intrigued with — the existing challenges enterprises faced with cloud data security.
Nightfall, the leading cloud-native data protection platform, has successfully achieved Service Organization Control (SOC) 2 Type 2 compliance. Nightfall is the first cloud-native data loss prevention vendor to complete this certification and meet the American Institute of Certified Public Accountants (AICPA) criteria for managing customer data.
