Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

September 2024

10 Essential Guidelines For Enterprise-Ready AI Solutions

AI-powered solutions are becoming increasingly prevalent in enterprise environments, leading to a new trend in procurement: the need for comprehensive AI governance frameworks. This shift reflects a growing awareness of AI-specific risks and the need for more granular controls. As the founder of Nightfall AI, a startup building AI models for data security, I've navigated hundreds of procurement cycles and observed a rise in AI-specific requirements.

Nightfall Named A Leader in Data Loss Prevention by G2

Data security leaders, take note: Nightfall has emerged as a frontrunner in G2's Fall 2024 reports, securing top positions in Data Loss Prevention Software, Data Security Software and Sensitive Data Discovery Software categories. This achievement reflects our unwavering commitment to excellence, as well as your trust in our AI-powered solutions. We extend our deepest gratitude to our valued customers and supporters, as your feedback helps us to drive innovation.

Nightfall AI Honored as Winner of the 2024 SC Awards

San Francisco, California, September 18, 2024 — Nightfall AI has been named a winner in the prestigious 2024 SC Awards. Nightfall has been recognized in the Best Data Security Solution and Best Insider Threat Solution categories, underscoring their team’s commitment to excellence and leadership in the cybersecurity industry. View the full list of 2024 SC Awards winners here.

5 Steps to Send An Encrypted Email in Gmail

These days, we use Gmail for everything from customer service to telehealth. Over time, your Gmail account might become a treasure trove of sensitive PII, PCI, PHI, and passwords that hackers can leverage. In fact, as of this year, just under half of all data breaches involve email. So, what can you do to protect your inbox? Enter: email encryption.

Prompt Sanitization: 5 Steps for Protecting Data Privacy in AI Apps

As Generative AI (GenAI) and Large Language Models (LLMs) become integral to modern apps, we face a critical challenge of protecting sensitive user data from inadvertent exposure. In this article, we’ll explore the importance of content filtering in LLM-powered apps, and provide strategies for its implementation. Looking for step-by-step tutorials on prompt sanitization for OpenAI, Langchain, Anthropic, and more? Skip down to the “Tutorials & further learning” section below.