Back in 2018, Rohan and I founded Nightfall on the belief that AI could make data leak prevention (DLP) better, faster, and more accessible to every enterprise. At the time, Rohan was a founding engineer at Uber Eats, and I was an investor at Venrock specializing in SaaS and security. From these respective vantage points, we could see that legacy solutions weren’t working, and could never keep up with the evolving threat landscape.

The United States and Australian Governments have established strict regulations to safeguard the technology that can be used for military applications. The most sensitive technology is regulated by the U.S. International Traffic in Arms Regulations (ITAR), and it is imperative for any company working with ITAR-controlled technologies and data to comply with these regulations. Failure to comply can lead to severe legal and financial repercussions, as well as reputational damage.

In today’s digital age, where data is the lifeblood of businesses and individuals alike, the importance of backup and data protection cannot be overstated. Whether you’re a small business owner, a freelancer, or an everyday user of technology, the loss of critical data can have disastrous consequences. Let’s delve into why taking backups is essential and how robust data protection measures can save the day when disaster strikes.

In order to prevent worst-case data leak and data loss scenarios, security teams need to have both proactive and reactive measures in place. Let’s explore this further with an example. Imagine your sensitive data as valuables within a house. There are multiple ways to secure that house, including the following. To put this example into practice, security teams would need to: The first and last of these bullet points fall under the umbrella of SaaS Security Posture Management, or SSPM.

One of the biggest issues facing government and industry is how to securely share sensitive and classified information. While information sharing and collaboration have tremendous benefits for productivity and service outcomes, they do come with risks. A dynamic, data-centric approach is key to securing sensitive information and achieving compliance.

Financial institutions are struggling to keep pace with technological advancements while ensuring data security and compliance with stringent regulations. Data modernisation has emerged as a critical strategy for banks to remain competitive, enhance customer experiences and fortify data security measures. In this blog post, we’ll discuss the importance of data modernisation in banking.

As the adoption of generative AI (GenAI) accelerates across enterprises, one of the most promising applications emerges in customer support. GenAI enables automated responses, allowing businesses to engage in natural conversations with customers and provide real-time chat support. However, this convenience comes with inherent risks, particularly concerning data privacy.

The modern enterprise relies on hundreds of SaaS apps, email services, generative AI (GenAI) tools, custom apps, and LLMs, which often contain sensitive data. For too long, security teams have been forced to patch together point solutions for coverage across these channels, increasing their workloads and creating opportunities for sensitive data to slip through the cracks. This is precisely where Nightfall’s single-pane-of-glass solution comes into play: With Nightfall Sensitive Data Protection.

Did you know that 41% of breaches involve email? For threat actors, cloud email systems like Gmail and Microsoft Exchange are treasure troves for valuable internal information like PII, PCI, PHI, secrets, and credentials. In order to limit the blast radius of privilege escalation attacks, and to remain in compliance with standards like HIPAA, it’s essential for enterprises to protect thousands of emails per day.

Data Loss Prevention (DLP) is becoming increasingly essential for organizations of all sizes to protect their data. Any organization that collects, generates, or stores sensitive information is responsible for keeping that information safe. This responsibility can be moral, legal, or profit-based.