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Published on
Oct 24, 2024
Data exfiltration poses a significant threat to organizations across all industries. With cybercriminals using increasingly sophisticated methods to illicitly obtain sensitive information, IT and security teams face the daunting task of protecting their digital assets against both internal and external threats. This webinar will provide your team some practical strategies to enhance your company's defenses against data exfiltration.
Email remains a critical channel for business communication and also remains a prime exfiltration and attack vector. Traditional Secure Email Gateways (SEGs) and rules-based DLP solutions are proving inadequate against data loss, exfiltration, sophisticated attacks and the complexities of modern cloud environments. Whether your organization relies on Gmail or Exchange or a hybrid email environment, Nightfall AI can protect your email against data loss and exfiltration with a comprehensive, flexible, and efficient approach to protecting your email across platforms.
Nightfall for Notion DLP is purpose-built to pinpoint sensitive data across Notion workspaces. Whether you’re using Notion as an internal wiki, a note-taking app, or something more, Nightfall’s AI-powered detectors will identify and remediate high-priority risks to ensure that your business stays continuously secure and compliant as you scale.
All employees have a part to play in keeping company secrets safe—however, developers have an outsized role due to their privileged access to sensitive databases, production systems, and source code. With these unique challenges in mind, Nightfall partnered with Snyk to offer AI-powered secrets scanning for developers working in every stage of the code-to-cloud lifecycle.
Generative AI is exploding, allowing companies to do more with less. It is, however, also exposing companies to more data security risks than ever before. In our upcoming fireside chat, we'll join Enrique Salem, former CEO of Symantec, and Isaac Madan, CEO of Nightfall, to discuss the biggest security risks of Gen AI, as well as strategies you need to stay compliant without impacting employee innovation. By the end of the chat, you'll be armed with the tools you need to safely use ChatGPT and other Gen AI tools across your business. See you there!
Security is of paramount importance for organizations trying to shorten their sales cycles and unlock enterprise clients. Learn how to use security as a differentiator in today’s challenging macroeconomic climate.
As recent trends, like supply chain attacks and cloud data leaks have made clear, continuous security and continuous data compliance must be embedded into the application, no matter where it is deployed, and who is accessing it.
A myriad of organizations rely on Nightfall, the industry’s first cloud-native data loss prevention (DLP) solution, to implement DLP into essential cloud applications like Slack, GitHub, and Google Drive.
It's important that HIPAA covered entities interested in Slack understand what's needed to ensure they remain compliant while using the platform.
Collaborative SaaS applications like Slack create environments where data policy and security best practices are difficult to maintain or enforce without an excessive time or resource commitment.
Enterprise legal, compliance, and governance teams struggle to detect, manage, govern, and protect information in near real time. Similarly, litigation, HR and investigation teams struggle with data intelligence on information they have collected from cloud applications like Slack and Google Workspace.
SaaS applications like Slack are challenging environments for enforcing data security policies. This is especially true for innovative, high-growth companies that have embraced a cloud-first philosophy.
Listen to Nightfall’s CTO, Rohan Sathe, and product specialist, Michael Osakwe, to learn about the increased exfiltration risks posed by code repositories. Learn how threat actors are incorporating targets like GitHub into their attacks, why this has become more common, and best practices to reduce your attack surface.
The explosive growth of SaaS collaboration tools and other cloud-based platforms makes it paramount that organizations understand how to secure data in the cloud
Some of the biggest data leaks in history have occurred due to problems with Amazon Web Services (AWS S3), like permissions misconfigurations, secrets mismanagement, improper security configurations, or maintaining a poor visibility environment.
Git-based repositories can create environments where secrets & credentials are exposed without notice, especially in environments with lots of contributors and few guidelines regarding best practices for handling credentials or environments with external collaborators who might not be familiar with best practices
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