This month has been full of new product announcements, including integrations with Microsoft Teams and Notion, as well as various improvements to security team workflows. Read on to learn more about what we’ve been up to this month.
Nightfall for Microsoft Teams
From tech to finance to healthcare, highly regulated industries can count on Nightfall for effective protection in Teams. With Nightfall, you can be assured that sensitive data items such as PHI, PII, secrets, and keys don't leak into your Teams channels, whether they're private, public, or shared. Read more about the integration and reach out to your Customer Success Manager to get started with Nightfall for Teams today.
Nightfall for Notion
Nightfall for Notion is the first AI-native data leak prevention platform that stops sensitive data such as PHI, PII, secrets, and keys from leaking to Notion pages and sub-processors (including OpenAI).
Our ultimate goal is to help SecOps teams do more with less—and our new per-policy alerting feature does exactly that. It gives teams even more control and flexibility by allowing them to create alerts on a policy-specific basis. Teams can also route alerts to specific teammates via custom alert endpoints.
Delayed remediation allows teams to monitor and act on violations, ensuring that sensitive data is purged out of SaaS app environments after its usefulness subsides. This is especially useful when immediate remediation may disrupt users' productivity. In short? Delayed remediation gives teams assurance that environments remain clean and compliant, without interrupting users.
Automatic annotations allow users to propagate any false positive annotation to all findings that are an exact match. If all findings in a violation have been annotated as false positives, any other violations with identical findings are automatically resolved. With this feature, customers will experience improved workflow efficiencies and fewer alerts.
Bulk actions empower security analysts to act on a large number of violations at one time. With this improvement, analysts can apply a given action to all violations within a specified filter. Reach out to your Customer Success Manager to learn more.
Nightfall was built upon a foundation of machine learning, with AI-native detectors that go far beyond regexes, rules, and search strings. Now, Nightfall has further fine-tuned its detection capabilities to better understand the highly contextual nuances surrounding policy violations. We've made major advancements in the following four areas:
- Personal Identifying Information (PII)
- Protected Healthcare Information (PHI)
- Secrets and credentials
- Images (e.g. passports, driver’s licenses)
Be on the lookout for more information, and reach out to your Customer Success Manager to learn more!
End-User Remediation (EUR) is a method of involving the employee or user who caused a violation. By automatically involving the original user in the remediation process, security teams have the opportunity to cut down on remediation workflows as well as to educate users about company policies in highly contextual situations. The purpose of EUR is to help security teams scale their operations, reduce business disruption, and decrease risk exposure. Stay tuned for more details.