Understanding Google AI Studio Safety Settings: A Practical Guide
As an AI security researcher, I’ve spent significant time examining the practical implications of AI models. One crucial area for any developer working with Google AI Studio is understanding and effectively configuring its safety settings. These aren’t just checkboxes; they are your primary tools for mitigating
California AI Safety Law SB 53 Signed: Understanding the Impact (October 2025)
By Diane Xu, AI Security Researcher
The signing of California Senate Bill 53 (SB 53) into law by Governor Newsom in October 2025 marks a pivotal moment for AI safety and regulation, not just within California but potentially across the United States and globally.
XRP Tokenization Revolution: A Practical Guide for Businesses
The digital economy is evolving, and tokenization is at its core. Businesses are seeking efficient, secure, and cost-effective ways to represent real-world assets on a blockchain. The XRP Ledger (XRPL) offers a powerful platform for this, driving an XRP tokenization revolution. This article, written by Diane Xu,
AI Safety News Today: Practical Insights for Researchers and Developers
As an AI security researcher, I see firsthand the rapid advancements in artificial intelligence. This progress brings immense potential but also significant safety considerations. Focusing on “AI safety news today” isn’t about doomsaying; it’s about understanding current challenges and implementing practical solutions. My goal here
Tokenization News: Your Practical Guide to Latest Developments
Tokenization continues its quiet but powerful expansion across industries. From securing payments to enhancing data privacy, the underlying technology is seeing constant evolution. Staying informed about the latest tokenization news isn’t just about understanding a trend; it’s about identifying practical applications that can improve your organization’s security
Complete Guide to NIST AI Risk Management Framework 1.0
As an AI security researcher, I’m often asked about practical approaches to managing AI risks. The release of the NIST AI Risk Management Framework (AI RMF 1.0) is a significant step forward, offering a structured, voluntary guide for organizations to address the multifaceted challenges posed by
Hey everyone, Pat Reeves here, back on botsec.net. It’s March 2026, and I feel like we’re in a constant tug-of-war with bot-driven threats. Just when you think you’ve got a handle on one angle, another pops up. Today, I want to talk about something that’s keeping me up at night: the increasingly sophisticated use of
AI is reshaping drug discovery, potentially cutting the time and cost of bringing new drugs to market by orders of magnitude. Here’s how AI is transforming pharmaceutical research and what it means for the future of medicine.
The Drug Discovery Problem
Traditional drug discovery is slow and expensive:
– Average time from discovery to market: 10-15 years
–
Botnets: Your Forgotten Front Door to Cloud Identity Theft
Hey folks, Pat Reeves here, back on botsec.net. Today, I want to talk about something that keeps me up at night, not because it’s new, but because it’s evolving in a way that most organizations aren’t adequately prepared for: botnets weaponized for cloud identity theft. We
Remote AI jobs are booming. The combination of high demand for AI talent and the remote-friendly nature of AI work has created one of the best remote job markets in tech. Here’s how to find and land remote AI positions.
Why AI Jobs Go Remote
AI work is inherently remote-friendly:
Digital work. AI engineers write code, train