Webinar: Join us, Tues 5/24. Nightfall & Hanzo experts will discuss how machine learning can enhance data governance, data security, and the efficiency of legal investigations. Register now ⟶
Aaron’s Maintains Company Communication Standards On Slack With Nightfall
Employees: Over 12,000
Stuart Lane, Information Security Engineer for Application Security
Aaron’s, Inc. (NYSE: AAN) is one of the nation’s largest retail providers of furniture, consumer electronics, home appliances, and accessories. Founded in 1955, the Kennesaw, Georgia-based firm offers lease and purchase solutions for customers across the United States and Canada.
Aaron’s, Inc. has grown revenues to over $3.8 billion per year, with over 1,500 Company-operated and franchised stores, as well as its own eCommerce platform, Aarons.com. In addition to their main product offerings, Aaron’s also owns Progressive Leasing, a virtual lease-to-own company, and Dent-A-Med, which offers second-look credit products through a federally insured bank.
With thousands of employees spread across multiple time zones, the team at Aaron’s relies on Slack as their primary communication channel. Manual supervision of the company’s Slack channel proved to be impossible with rapid-fire messages occurring at all hours of the day.
Stuart Lane, Information Security Engineer for Application Security, recognized the potential hazard of data loss across Slack—particularly company information. “We wanted to implement a DLP solution to protect sensitive information while also reinforcing appropriate use of the platform,” Lane explains.
Since Slack lacks native DLP functionality, Lane had to find a solution that would provide robust protection, as well as the flexibility to handle the unique challenges faced by the Aaron’s team. Enter Nightfall.
“Nightfall gives us real-time visibility and immediate feedback on Slack.”
Complete transparency and protection
Lane was able to deploy Nightfall’s DLP for Aaron’s Slack users immediately, without the need for fine-tuning or complicated setup. Powered by machine learning, Nightfall uses a three-step process—Discover, Classify, and Protect—to monitor the team’s Slack messages in real-time.
Nightfall scans for over 25 detectors, ranging from personally identifiable information (PII) to IP addresses. This ensures that both the internal company information and customer data are never in jeopardy.
In order to protect against inappropriate language on Slack, Lane also created custom rules that search Slack messages for inappropriate content. After flagging any potentially sensitive information, Nightfall gives users the option to manually quarantine the information or use automated workflows to enforce a security policy.
“The ability to customize our notification messages allows us to reinforce our Code of Conduct and Acceptable Use Policy,” Lane adds.
“Nightfall has allowed us to automate the detection and response of DLP in Slack. This has alleviated an impossible task of manually monitoring the platform.”
Seamless integration, responsive customer service
Lane remarks that the integration has been “a great experience, allowing us to onboard Nightfall with low friction.” Nightfall integrates directly with SaaS applications and data infrastructure platforms, including GitHub, AWS, and Atlassian.
In addition to the platform’s ease of use, Lane also notes that Nightfall’s customer service has been outstanding. “The team has been very quick and efficient with responding to our questions and have even implemented specific needs that we recommended to Nightfall,” says Lane.
“The customer service experience has exceeded our expectations.”
Nightfall is the industry’s first cloud-native DLP platform that discovers, classifies, and protects data via machine learning. Nightfall is designed to work with popular SaaS applications like Slack, Google Drive, GitHub, Confluence, Jira, and many more via our Developer Platform. You can schedule a demo with us below to see the Nightfall platform in action.
Schedule a Demo
Select a time that works for you below for 30 minutes. Once confirmed, you’ll receive a calendar invite with a Zoom link. If you don’t see a suitable time, please reach out to us via email at firstname.lastname@example.org.