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Nightfall Named A Leader in Data Loss Prevention (DLP) by G2

Nightfall has been named as a Leader in Data Loss Prevention (DLP), Sensitive Data Discovery, and Data Security in G2’s Fall ‘23 rankings. We’d like to extend a huge thank you to all the customers and supporters who made this possible. This past season, the Nightfall team has been working tirelessly to innovate new ways to keep customers safe in the cloud.

7 Ways Security Teams Can Save Time With AI

AI has already revolutionized the way we work. ChatGPT, GitHub Copilot, and Zendesk AI are just a few of the tools that are taking over day-to-day tasks like generating customer support emails, de-bugging code, and much, much more. Yet despite all of these advancements, security teams are under more intense pressure than ever to mitigate rapidly evolving risks. Paired with a growing shortage of over 3.4 million cybersecurity workers, security teams are in need of a solution—and fast.

Do You Use ChatGPT at Work? These are the 4 Kinds of Hacks You Need to Know About.

From ChatGPT to DALL-E to Grammarly, there are countless ways to leverage generative AI (GenAI) to simplify everyday life. Whether you’re looking to cut down on busywork, create stunning visual content, or compose impeccable emails, GenAI’s got you covered—however, it’s vital to keep a close eye on your sensitive data at all times.

GenAI is Everywhere. Now is the Time to Build a Strong Culture of Security.

Since Nightfall’s inception in 2018, we’ve made it our mission to equip companies with the tools that they need to encourage safe employee innovation. Today, we’re happy to announce that we’ve expanded Nightfall’s capabilities to protect sensitive data across generative AI (GenAI) tools and the cloud. Our latest product suite, Nightfall for GenAI, consists of three products: Nightfall for ChatGPT, Nightfall for SaaS, and Nightfall for LLMs.

Worried About Leaking Data to LLMs? Here's How Nightfall Can Help.

Since the widespread launch of GPT-3.5 in November of last year, we’ve seen a meteoric rise in generative AI (GenAI) tools, along with an onslaught of security concerns from both countries and companies around the globe. Tech leaders like Apple have warned employees against using ChatGPT and GitHub Copilot, while other major players like Samsung have even go so far as to completely ban GenAI tools. Why are companies taking such drastic measures to prevent data leaks to LLMs, you may ask?

Level Up Your Incident Response Playbook with These 5 Tips

Data breaches loom large for organizations big and small. On top of being incredibly time-consuming, they can lead to legal damages, shattered customer trust, and severe financial fallout—and that’s just the tip of the iceberg. ‍ ‍ Laws and technologies are constantly evolving, which means that, in turn, security strategies must always adapt to keep up.

Do You Use These Top SaaS Apps? Here's What You Need to Know About Data Sprawl

Nightfall’s recent “State of Secrets” report uncovered that collaboration, communication, and IT service tools have the highest risk of data exposure, particularly in industry-leading SaaS apps like Slack and GitHub. This trend highlights an incredibly pervasive (yet often overlooked) risk in cloud cybersecurity: Data sprawl.

AI is the Future of Cybersecurity. Here Are 5 Reasons Why.

While Gen AI tools are useful conduits for creativity, security teams know that they’re not without risk. At worst, employees will leak sensitive company data in prompts to chatbots like ChatGPT. At best, attack surfaces will expand, requiring more security resources in a time when businesses are already looking to consolidate. How are security teams planning to tackle the daunting workload? According to a recent Morgan Stanley report, top CIOs and CISOs are also turning to AI.