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 ⟶

Cloud-native DLP for Jira

Classify and protect sensitive information in Jira

Nightfall is the first cloud-native Data Loss Prevention (DLP) solution to accurately discover, classify, and protect sensitive information in Jira.
Jira Hero - scope
Nightfall is the first cloud-native Data Loss Prevention (DLP) solution to accurately discover, 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

test

US Driver License

test

Individual Taxpayer Identification Number (ITIN)

test

US Passport

test

US Social Security Number (SSN)

test

Vehicle Identification Number (VIN)

test

France CNI

test

France INSEE

test

France Passport

test

German Identity

test

German Passport

test

Ireland PPSN

test

Ireland Passport

test

Canada Drivers License

test

Canada Government ID

test

Canada Passport

test

Canada Permanent Resident

test

Canada Social Insurance (SIN)

test

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

gear

API Key

gear

Cryptographic Key

gear

Randomly Generated Token

gear

Database Connection String

gear

Cloud Credentials

gear

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

gear

API Keys Without Test Keys

gear

12 Digit Number

gear

Name with Email

gear

AWS Access Key ID

gear

Profanity

gear

Your Regexes & Word Lists

Nightfall for JIra

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 or through the Nightfall console where you can bulk remediate violations and see trends over time. Export alerts to SIEMs 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
“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.”

Stuart Lane

Information Security Engineer for Application Security

12,000 +

Users

1,500 +

Locations

Read case study
“Nightfall’s ease of setup and accuracy of identified data are both on point.”

Michael Supon

Head of Security and Compliance

150 +

Users

55,000 +

App downloads

Read case study
Nightfall has consistent detectors so I can create rule sets that work across all my integrations… I have a lot more clarity when managing my DLP with Nightfall.

Brent Lassi

CISO

400+

Brands

1500+

Repos

Read case study
call to action

See Nightfall in action.

Schedule a demo