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Classify and protect sensitive information in Jira

Comprehensive DLP designed for Jira
Scan issues, attachments, and comments in Jira to classify and protect sensitive information at risk of exposure.
- Automatically scan PII, PHI, PCI, credentials, and secrets in real-time with machine-learning trained detectors.
- Machine learning classifies your sensitive data automatically, without prior tuning or tagging, so nothing gets missed.
- Easily set up and manage data protection policies to scan a broad set of file types, including unstructured data with machine-learning based OCR.

Date of Birth

Location

Phone Number

Email Address

Person Name

More

US Driver License

Individual Taxpayer Identification Number (ITIN)

US Passport

US Social Security Number (SSN)

Vehicle Identification Number (VIN)

France CNI

France INSEE

France Passport

German Identity

German Passport

Ireland PPSN

Ireland Passport

Canada Drivers License

Canada Government ID

Canada Passport

Canada Permanent Resident

Canada Social Insurance (SIN)

More

ICD10 Code

ICD9 Code

US Healthcare NPI

FDA National Drug Name

US Health Insurance Claim Number

British Columbia Personal Health Number

Ontario Health Insurance Plan Number

Quebec Health Insurance Number

More

API Key

Cryptographic Key

Randomly Generated Token

Database Connection String

Cloud Credentials

More

MAC Address

IMEI Hardware ID

IP Address

More

US Employer ID Number

US Bank Routing MICR

Credit Card Number

SWIFT Code

American Bankers CUSIP ID

IBAN Code

Canada Bank Account

More

API Keys Without Test Keys

12 Digit Number

Name with Email

AWS Access Key ID

Profanity

Your Regexes & Word Lists

Customize data detection and apply policies with flexibility
Customize your detectors and detection rules according to your organization’s needs. Flexibly apply policies based on Jira projects and receive alerts in real-time for violations that truly matter.
- Configure Nightfall’s Detection Engine with detectors, context rules, confidence levels, and more.
- Customize your detection rules to accurately detect risks within your Jira instance, including custom detectors and exclusion rules.
- Monitor customer information, stack traces, and code snippets to prevent exposure of sensitive data.
- Set up automated remediation actions or take actions directly from the Nightfall alert

Streamline your cloud DLP approach
Nightfall is easy to implement and provides you with a single pane of glass to centralize your data protection approach across applications.
- Integrate with Jira in just a few clicks.
- Receive alerts via email, Slack, or any tool, like a SIEM for logging, via webhook
- Use Nightfall as a single pane of glass to protect sensitive data across other cloud apps, like Slack, Google Drive, and GitHub, in addition to Jira.

Amount protects data across their SaaS environments with Nightfall
Amount’s requirements for providing secure banking services must include compliance and data security. Nightfall helps protect Amount’s customer data from internal and external threats in Jira with cloud-native DLP.
Read the Amount case study