Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

From our groundbreaking GenAI product launch to our enhanced console experience, we’re excited to share the most recent Nightfall product updates.

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.

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.

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?

San Francisco, CA, August 4, 2023—Nightfall AI, the leader in cloud data leak prevention (DLP), announces the launch of the industry’s first complete data security platform designed specifically for Generative AI (GenAI).

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.

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.

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.

What is it: Agentless architecture refers to platforms and services that are built to run as cloud-native applications. They require no installation, patching, or other forms of long term upkeep on the part of a user. Why it matters: Agentless applications, especially agentless security applications have a lower total cost of ownership (TCO), in terms of man-hours saved in deployment, maintenance, and overhead.