Often security engineers find it difficult to scale secure code review processes either due to lack of funding, adoption to smaller sprint cycles or even security engineers failing to integrate security to agile philosophy. This post talks about various ways to address such challenges.

As the number and severity of cybersecurity attacks rise each year, organizations are compelled to look for measures to protect sensitive data. The abundance of cybersecurity solutions on the market may create confusion and pressure, as choosing the wrong one may lead to security gaps. Many companies turn to data loss prevention (DLP) systems, since they have been on the market for years. But is a DLP system enough to protect your data?

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.

The integration of machine learning into software development is revolutionizing the field, automating tasks and generating complex code snippets at an unprecedented scale. However, this powerful paradigm shift also presents significant challenges including the risk of introducing security flaws into the codebase. This issue is explored in depth in the paper Do Users Write More Insecure Code with AI Assistants? by Neil Perry, Megha Srivastava, Deepak Kumar, and Dan Boneh.

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.