Detect and remediate the exposure of secrets and credentials across GitHub repos with unmatched accuracy.
Credentials and secrets are most frequently exposed in Github due to its use by product and engineering teams, Nightfall helps eliminate this risk.
Integrate in minutes to detect sensitive data in 100+ file types, including images.
ML-based detectors identify potential security and compliance risks with high accuracy.
Real time alerts and automated remediation actions, to reduce compliance workload.
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Healthcare organizations need to protect PHI and comply with HIPAA. Nightfall automatically classifies all cloud data and finds at-risk patient data from a single platform.
Use prebuilt, high accuracy detectors or create your own
Build detection rules for your use cases
Scan text and files, including images
Remediate sensitive data with redaction techniqu
Identify and manage secrets and keys from a single dashboard, without installing agents. Nightfall gives you everything you need to prevent to protect customer and company data.
Designed and built for the way you work in Github.
Integrate with Github in a few clicks. Nightfall provides always-on protection while staying out of your way.
Reduce noise for your team through our high-accuracy detection engine.
There are multiple ways to scan for sensitive data in code repositories - in near real-time upon code commit, historically, etc.
Spend less time responding to incidents and remediating actions.
Set up automated DLP workflows for quarantines, deletions, alerts, and coaching end users on data security best practices.
Watch this 2-minute demo video to learn how Nightfall can detect and remove secrets from your GitHub Organization.
Nightfall provides the visibility needed to minimize security risks, set up automated remediation workflows, and prove compliance.
Detect suspicious files & messages in real-time and take action directly within Github.
With no agents to install, setup takes minutes.
Scan a broad set of file types including unstructured data.
Scan data with machine-learning trained detectors for sensitive data.
Create flexible DLP policies for targeted scans that point you straight to critical violations.
Customize detectors with thresholds and other rules to reduce false alerts.
Detect and identify PII, PCI, PHI, credentials & secrets, custom data types, and more.
Use context-based, ML detectors for high accuracy and continual improvement.
Enable employees to remediate with minimal overhead through notifications and coaching.
Set up automated workflows to remediate sensitive findings.
Build a culture of trust and strong data security hygiene.
Manage all of the security tasks in your SIEM or Nightfall dashboard.
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Healthcare organizations need to protect PHI and comply with HIPAA. Nightfall automatically classifies all cloud data and finds at-risk patient data from a single platform.
Use prebuilt, high accuracy detectors or create your own
Build detection rules for your use cases
Scan text and files, including images
Remediate sensitive data with redaction techniqu
With no agents to install, setup takes minutes and Nightfall surfaces your most critical data leak risks
Scan a broad set of file types including unstructured data with deep learning based extraction and classification.
Scan data with machine-learning trained detectors for sensitive data out of the box.
Ensure out of the box compliance with HIPAA, PCI, and more.
Meet customer DLP requirements and unblock
revenue teams.
Prevent downstream privilege escalation via exposed credentials & secrets.
Detect and take action on sensitive data exposure both instantly and at-rest.
Remove data exposure without blocking users or apps.
Enable employees to self-heal easily with minimal overhead with notifications and coaching. Build a culture of trust and strong data security hygiene.
No agents or proxies to get in the way.
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HIPAA compliance is a complex topic. That’s why we’ve complied the most frequently asked questions with detailed answers to help guide you through the compliance process.
Gain a detailed overview of the HIPAA compliance process.
Access a full list of resources to aid with HIPAA compliance across SaaS applications like Slack.
Data loss prevention (DLP) is an important part of data security and compliance in the cloud, especially for organizations regulated by HIPAA. Furthermore, healthcare teams using Slack must follow specific guidelines laid out in Slack’s Business Associate Agreement (BAA).
The requirements you must meet to execute a BAA with Slack
What is Data Loss Prevention (DLP)?
How to implement DLP for Slack?
The types of PHI you can monitor & protect in Slack with Nightfall
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