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
A lawyer submitted a brief to a federal court citing six cases. None of them existed. ChatGPT had invented them — complete with realistic case names, docket numbers, and plausible legal reasoning. The lawyer was sanctioned. The story made national news. And it perfectly illustrates why prompt injection is the security problem that keeps AI
Discover best practices for bot detection and prevention in AI security. Learn multi-layered strategies to protect your AI systems from evolving automated threats.
Learn how to secure your AI applications from emerging threats. This guide covers data integrity, model robustness, infrastructure security, and incident response for AI systems.
Developers building AI need to know the critical AI security threats. Learn about adversarial attacks, model theft, privacy risks, and supply chain vulnerabilities.
Alright, folks, Pat Reeves here, back from a caffeine-fueled dive into the digital muck. Today, we’re not just talking about bots; we’re talking about the silent, insidious ways they get in. Specifically, we’re tearing apart one of the most common, yet often overlooked, chinks in our digital armor: API Key Vulnerabilities and Why Your Bots
