Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Complying with the EU's New AI Act: A Guide to Staying Ahead

Artificial intelligence (AI) is increasingly embedded in modern organisations—from standalone generative AI apps to AI copilots in popular SaaS platforms, and the integration of self-hosted or public large language models (LLMs) in private applications tailored to specific business needs. The recently introduced EU AI Act sets out to regulate AI development and usage, ensuring that AI systems are safe, ethical, and respect fundamental rights.

Responsible AI: Policy Solutions for DevSecOps

Artificial intelligence (AI) is revolutionizing problem-solving and innovation in DevSecOps. Leveraging AI responsibly is essential for building secure, trustworthy systems. Governments are crafting policies to ensure AI's benefits while mitigating risks. Join JFrog's VP of Product Marketing, Jens Eckels, and BSA CEO, Victoria A. Espinel, as they explore how BSA’s Policy Solutions for Building Responsible AI provides a framework to achieve these goals, focusing on governance, innovation, and transparency.

Protecto Snowflake Integration Demo: Safeguard Sensitive Data!

Welcome to the Protecto Snowflake Integration Demo, where we show you how to safeguard sensitive data using Protecto’s advanced AI-powered masking tools! In today’s world, businesses using Snowflake for AI and analytics face significant risks with sensitive information hidden within unstructured data like comments and feedback columns. Protecto provides a unique solution, precisely masking only the sensitive parts of your unstructured data while leaving the rest untouched, ensuring your datasets remain valuable for analysis.

How to Set Up and Run a Workable AI Council to Govern Trustworthy AI

As in many companies around the world, Bitsight leadership believes that adoption and innovation through the use of artificial intelligence (AI) capabilities is crucial to the future of our company. From the top down, our employees are continually on the hunt for ways to leverage AI to improve business outcomes and customer productivity.

Mastering Data Masking: Key Strategies for Handling Large-Scale Data Volumes

Masking large volumes of data isn’t just a bigger version of small-scale masking—it’s exponentially more complex. High-volume data masking introduces unique engineering challenges that demand careful balancing of performance, integration, accuracy, and infrastructure costs. In this blog, we’ll dive into the critical factors you must consider when choosing the right tool for large-scale data masking, helping you confidently navigate these complexities.

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.