Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Today, artificial intelligence (AI) is no longer a futuristic concept but a tool that is driving operational efficiency, customer experience, and decision-making processes. Organizations are observing its transformative power firsthand across various industries and organizational aspects.

Generative AI exploded in popularity not too long ago but its influence on text and media creation is already undeniable. AI content is becoming ubiquitous on the internet, and this technology is slowly seeping into real life, impacting sectors such as healthcare, finance, agriculture, and education. In a previous blog post, we discussed the rise of malicious AI chatbots and how they can be leveraged in cyberattacks. Now, we are seeing these potentially AI-written spam being distributed via email.

In a significant move to address the complexities of regulating artificial intelligence (AI), Speaker Mike Johnson (R-La.) and Minority Leader Hakeem Jeffries (D-N.Y.) declared the formation of a bipartisan task force dedicated to exploring AI innovation and devising safeguards against potential threats. This initiative comes as lawmakers grapple with the rapid evolution of AI technology and its implications for various sectors.

Back in 2018, Rohan and I founded Nightfall on the belief that AI could make data leak prevention (DLP) better, faster, and more accessible to every enterprise. At the time, Rohan was a founding engineer at Uber Eats, and I was an investor at Venrock specializing in SaaS and security. From these respective vantage points, we could see that legacy solutions weren’t working, and could never keep up with the evolving threat landscape.

Denver, Colorado, is home to beautiful mountain views and an airport with an interesting Wikipedia page. You might know it as home to multiple sports teams or as the Mile High City (1.34 KM High City) due to its famous elevation. Or you might know it as the home of the Great American Beer Festival.

In the busy domain of artificial intelligence (AI), the emergence of Private Language Model Models (LLMs) marks a pivotal development in addressing the escalating concerns surrounding data protection. As organizations harness the power of AI to glean insights and streamline operations, the need for safeguarding sensitive information has become more pronounced than ever.

Artificial Intelligence (AI) being used to carry out cybercrime isn’t new, but as AI becomes more advanced, so do the tools that cybercriminals are using. One of the most recent AI-enabled cyber threats we’ve seen is cybercriminals using voice-cloning technology to carry out scam calls. You can protect yourself from AI voice-cloning scam calls by blocking spam calls, not picking up calls from unknown numbers and creating a safe word with your family in case a legitimate emergency occurs.

Since the discovery of CRIME, BREACH, TIME, LUCKY-13 etc., length-based side-channel attacks have been considered practical. Even though packets were encrypted, attackers were able to infer information about the underlying plaintext by analyzing metadata like the packet length or timing information. Cloudflare was recently contacted by a group of researchers at Ben Gurion University who wrote a paper titled “What Was Your Prompt?

It has been over a year and a half since the latest generative AI revolution descended upon the world. All IT markets have seen a wave of both new AI products, as well as AI-driven capabilities in existing products being introduced with a breakneck pace.