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AI

Bipartisan AI Task Force and More - This Month in AI

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.

Nightfall was built on AI. Here's how we're advancing our mission to scale data protection in the enterprise.

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.

AI - Boon or Bane for Appsec

Are you ready to dive into the world of application security and artificial intelligence? Watch the exclusive talk by the renowned Julian Totzek Hallhuber, Solutions Architecture Manager at Veracode, during Mind the Sec 2023 in Brazil. In this engaging talk, Julian explores the advantages and disadvantages of using AI in the AppSec landscape and discovers how AI is revolutionizing the way we protect our applications from constantly evolving cyber threats.

SnowFROC 2024: Securing The Future With OWASP Community In Denver

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.

Advantages of Private LLMs - A Data Protection Perspective

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.

Implementing the NIST Cybersecurity Framework (CSF) 2.0 with AI augmented API Security

The updated NIST Cybersecurity Framework (CSF) 2.0 was published February 26, 2024. Previously, this content was also known as the “Framework for Improving Critical Infrastructure Cybersecurity.” As stated in the framework: In summary, the updated NIST Cybersecurity Framework is organized into the following functional categories.

How To Protect Yourself From AI Voice Scam Calls

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.

Balanced IT: Humanizing AI in Client Experience

How can we clear our minds of preconceived notions about Artificial Intelligence? How can we approach this ongoing technological revolution without apprehension? AI has integrated into our lives more swiftly than a lawyer’s “Objection, Your Honor!” in a surprise courtroom confession. We ask AI to do a multitude of things: write email responses, research our homework, inquire about recipes, complain about our tough days, compose school papers, and create art.

Enabling Secure AI Innovations by Citizen Developers

Technology can change in the blink of an eye, and nowhere is this more evident than in the rise of “citizen developers.” Often without formal technical training, these individuals leverage user-friendly platforms to create, innovate, and deploy AI-driven solutions. But with the support of intuitive interfaces, templates, and code snippets come challenges. Security can be a challenge hidden in the simplicity of drag-and-drop designs.

Navigating Data Privacy for GenAI in Customer Support

As the adoption of generative AI (GenAI) accelerates across enterprises, one of the most promising applications emerges in customer support. GenAI enables automated responses, allowing businesses to engage in natural conversations with customers and provide real-time chat support. However, this convenience comes with inherent risks, particularly concerning data privacy.