Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In a world full of subscriptions, the idea is that if you are not paying for something, you are the product. Companies such as Google, Facebook, and Twitter earn huge revenue by collecting your data and selling it to advertisers, giving them access to your personal information. In return, you may receive targeted advertisements on your feed. However, the disadvantages far outweigh the advantages.

ICYMI, Nightfall recently launched a suite of enterprise DLP offerings including Data Exfiltration Prevention, Data Encryption, Sensitive Data Protection for SaaS and Email, and SaaS Security Posture Management (SSPM). To celebrate our new offerings, as well as our sixth birthday, we took a moment to gather insights from investors including Ryan Nece, Enrique Salem, Maynard Webb, Frederic Kerrest, and Kelvin Beachum Jr.

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.