Today’s discussions on AI are often affected by emotions like fear and awe, as well as the fact that AI is reduced to large language models (LLM) — but this isn’t the entire story. So, let’s step back from these fears and dig into the data explaining why AI is richer than LLMs.
Assisting with the creation of spear phishing emails, cracking tools and verifying stolen credit cards, the existence of FraudGPT will only accelerate the frequency and efficiency of attacks. When ChatGPT became available to the public, I warned about its misuse by cybercriminals. Because of the existence of “ethical guardrails” built into tools like ChatGPT, there’s only so far a cybercriminal can use the platform.
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).
The landscape of cybercrime continues to evolve, and cybercriminals are constantly seeking new methods to compromise software projects and systems. In a disconcerting development, cybercriminals are now capitalizing on AI-generated unpublished package names also known as “AI-Hallucinated packages” to publish malicious packages under commonly hallucinated package names.
The life sciences industry is at the forefront of data-intensive research and innovation. Scientists and researchers rely heavily on the collection, processing, and analysis of vast amounts of data generated by lab instruments. And they are often challenged by errors or confusion in managing data flows that in turn, have a direct impact on the quality of data and corresponding compliance with regulatory requirements.
If you had to choose a security measure that would make the most difference to your cyber program right now, what would it be? Maybe you’d like to get another person on your team? Someone who is a skilled analyst, happy to do routine work and incredibly reliable. Or perhaps you’d prefer an investment that would give your existing team members back more of their time without compromising your ability to find and fix threats? What about human intelligence without human limitations?
