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Collaboration and compliance in Atlassian – how data discovery tools protect sensitive data and IP in a dynamic work environment
How data discovery tools can help
In short, data discovery tools give you the ability to see and understand the sensitive and high value data you have (visualisation), so that you can build policies to secure the data and take necessary steps to secure it (remediation). These are basic steps that are needed for any company to be able to ensure compliance with data privacy regulations (such as GDPR, HIPAA, CCPA etc.), stop insider threats to data security (whether intentional or not), and, in general, improve employee knowledge of data security policies and awareness of how to handle sensitive data. Ensuring you have the right data discovery tools, with the power to track structured and unstructured data within collaborative solutions is a must.Types of sensitive data that might be held in the Atlassian Confluence, Jira and Bitbucket
First of all, let’s take a look at some of the information that might be stored across your Atlassian products. It isn’t just a case of customer data held in customer service applications alone.Examples of the types of information held in Atlassian Confluence:- Customer data and personally identifiable information (PII), patient or insured’s healthcare information. Sensitive data which needs to comply with regulations, such as – GDPR, HIPAA, PCI, SOX, CCPA etc.
- Legal documents or contracts.
- Confidential business information, such as strategic plans, internal policies and processes, and company records.
- Financial information including details about company finances, budgeting and billing information.
- Intellectual property, such as product design documents.
- Customer data, in support of customer service or support, queries and issues, which may contain sensitive information in the form of names, email addresses, phone numbers and other personal details of employees, customers or clients.
- Financial data for project budgeting and resource allocation.
- Intellectual Property, such as product development, design documents and proprietary algorithms.
- IT security information, such as vulnerability reports, security incidents and audit logs.
- Source code, which can be proprietary and contain intellectual property, making it highly sensitive.
- Credentials and API keys. Sometimes developers might inadvertently include these and other sensitive access tokens within source code or configuration files.
- Configuration files, containing sensitive information about the infrastructure setup and database configurations that could be exploited if exposed.
- Technical documentation including details of system architectures.
- PII which may have been used inadvertently as test data or examples embedded in the code or documentation might contain PII.
- Financial information if the repository is related to financial applications or systems, including code or data handling financial transactions or sensitive financial data.
- Security related information, such as security mechanisms, algorithms or vulnerabilities found and fixed in the code.
- Future development plans, features or innovative concepts.
Ensure sensitive data security across the Atlassian Suite with data discovery tools
A data discovery tool, like SecurEnvoy Data Discovery, will help you with the process of trawling through all those pages and documents using automation, rather than time-consuming manual processes. You will be able to:- Identify and classify sensitive data accurately.
- Develop a clear data classification policy.
- Monitor use of sensitive data.
- Set up an audit trail with alerts when sensitive data is detected
- Track any changes to ensure remediation of sensitive data.
How different organisations can use data discovery tools for Atlassian Confluence
Every company is different, but the regulations each industry needs to comply with stay pretty much the same. Let’s take a look at how players in some key industries are taking care of their sensitive data with data discovery tools.Large Healthcare Provider
- Automated Detection of PHI: The tool continuously scans all Confluence content, reducing the risk of unnoticed PHI exposure.
- Immediate Notification: When PHI is detected in an inappropriate location or without proper security controls, the page owner is immediately notified.
- Prompt Remediation: The tool’s notification enables immediate action, either to remove the PHI, anonymise it, or apply appropriate access restrictions.
- Access Control Enforcement: If remediation actions are not taken promptly, the tool can automatically restrict access to the content, thereby preventing unauthorised PHI access.
- Audit Trails: The tool maintains logs of detected PHI and actions taken, aiding in compliance audits and investigations.
Multi-branch retail chain
- Automated Identification of Cardholder Data: The tool continuously scans for credit card numbers, CVV codes, and other sensitive data associated with credit card transactions.
- Immediate Alerts: When sensitive credit card data is found in an inappropriate location, the page owner is automatically alerted.
- Proactive Data Remediation: These alerts prompt the responsible individuals to either remove the sensitive data, anonymise it, or apply correct security controls.
- Enforced Access Restrictions: If the required remediation is not actioned in a timely manner, the tool can be configured to restrict access to the content, minimising the risk of unauthorised access.
- Compliance Documentation: The tool logs all detections and actions, creating an audit trail that is essential for PCI DSS compliance reporting.
International insurance company
- Automated Detection of Personal Data: The tool scans for various types of personal data as defined under GDPR, like names, contact details, and other identifiers.
- Immediate Notification: If personal data that might not comply with GDPR is detected, the page owner is alerted for immediate review.
- Prompt Remediation and Data Minimisation: These alerts enable timely actions to either remove, anonymise, or properly secure the personal data, adhering to GDPR’s data minimisation principle.
- Access Control and Data Protection by Design: If remediation is not undertaken promptly, access restrictions can be applied automatically to mitigate unauthorised data exposure.
- Audit Trail for Compliance: The tool provides a log of all detected instances and actions taken, essential for GDPR compliance documentation and audits.
Benefits of using SecurEnvoy Data Discovery for Atlassian
With SecurEnvoy Data Discovery, we’ve seen how companies and organisations can:- Ensure sensitive personal data and company information is not exposed to insider threats and that IP is properly secured.
- Educate users on data sensitivity, in case they inadvertently mishandle sensitive data due to lack of awareness or understanding.
- Prevent accidental or intentional sharing of sensitive information outside of the intended audience.
- Stay on top of insider threats and ensure continuous data security awareness of employees
- User Remediation – automated alerts and audit trails.
- Permission Management – the ability to remove permissions and control access to data, defer actions.
- Scanning controls – depth and intensity of scanning can be adjusted.
- Integration with other data streams for centralised dashboard management and enhanced audit capabilities – feeding into syslog, for example
Published: 30 January 2024
Category: Industry Research
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