Over 72 percent of Indian citizens think their personal data has been compromised, according to a recent article in Business Today. They blame a variety of organizations and institutions, which is understandable. Now imagine your organization is the one to blame. Could your company survive this type of hit to its reputation? Would it be able to retain customers who no longer trust you to keep their sensitive information secure?

Unstructured data is the efficiency elephant in the room for most businesses. In fact, 95% of businesses need to manage unstructured data. Until you get a hold of the systems and process behind your data, your business is operating in the dark. A well-organized cloud environment can put your data and your business on a clear, secure footing. But, you’ll have to migrate that data from point A to point B.

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

Data in motion, also known as data in transit, is the transmission of digital information from one location to another. This can include: Data in motion is just one of three data states, including data at rest and data in use.

Given the growth of hybrid work models, organizations are becoming increasingly decentralized. Employees operating from diverse locations access business information through various cloud tools and digital devices.

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.

In today’s age of rapidly increasing data collection, data privacy laws are becoming more prevalent than ever. The EU’s General Data Protection Regulation (GDPR) is considered the worldwide benchmark of data privacy law. While many countries have followed similar regulations, the United States does not have a GDPR equivalent. Instead of national standards and regulations, individual states pass their own privacy laws.

The data protection landscape is changing. The rapid adoption of cloud and software as a service (SaaS) greatly affects the financial industry, where many institutions rely on SaaS vendors for data protection previously implemented in-house. Moody’s Analytics relies on cloud service providers (CSPs) to adequately protect its data, showcasing the need for scalability, industry cost controls, and flexibility.

The SafeBreach Labs team is committed to conducting original research to uncover new threats and ensure our Hacker’s Playbook provides the most comprehensive collection of attacks.

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).

More than 67% of internet users in the US remain blissfully unaware of online privacy and data protection regulations. At the same time, the global average cost of data breaches and cyber-attacks has increased by 15% since 2020 to $4.45 million. In fact, compromised credentials and personal information are responsible for nearly 20% of nearly 1.4 billion security incidents during this period.

Data Security Posture Management (DSPM) plays a critical role in identifying security risks, prioritizing misconfigurations, and implementing a zero-trust framework. It is an emerging technology, and there are only a few capable solutions that provide good product offerings. Check out the list of some of the best DSPM platforms that can be considered to streamline data protection, governance, and compliance efforts.

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.