March 23, 2026
If you’re a startup founder or a developer trying to pick between LangGraph and DSPy for your next AI-driven application, you’re probably drowning in jargon and marketing fluff. I’ve spent the better part of the last two years working with both tools on multiple projects, and
Hey everyone, Pat Reeves here, back on botsec.net. It’s March 2026, and if you’re like me, you’re probably still reeling a bit from the sheer audacity of some of the botnet activity we saw last year. While the big headlines focused on the DDoS attacks and data exfiltration, something else has been quietly bubbling under
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
Hey everyone, Pat Reeves here, back on botsec.net. It’s March 2026, and if you’re like me, you’ve been watching the news, specifically anything to do with those new AI assistants from OmniCorp, “OmniMind.” They’re everywhere now, baked into everything from smart home hubs to enterprise CRMs. And honestly, they’re a bit of a nightmare for
AI Security Certification: Your Practical Guide to Building Trustworthy AI
As an AI security researcher, I’ve seen firsthand the growing need for robust security in artificial intelligence systems. AI is no longer a futuristic concept; it’s integrated into critical infrastructure, healthcare, finance, and everyday consumer products. With this ubiquity comes a significant responsibility: ensuring these
Computer Vision Retail Security: Practical Applications for Loss Prevention
Retail security faces constant challenges from theft, fraud, and operational inefficiencies. Traditional security systems, while foundational, often fall short in providing proactive insights and actionable intelligence. Computer vision, a field of artificial intelligence that enables computers to “see” and interpret visual information, offers powerful solutions to
Computer Vision Retail Safety: A Practical Guide for Modern Stores
By Diane Xu, AI Security Researcher
Retail safety is evolving. Traditional security measures, while still important, are being augmented by powerful technologies. Computer vision, a subset of artificial intelligence, is at the forefront of this shift, offering unprecedented capabilities for enhancing safety in retail environments. This
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