High-Confidence Wrong: AI and Insecure Code
Studies show ~45% of AI-generated code carries OWASP-class flaws. The threat isn’t exotic - it’s ordinary defaults shipped at machine speed.
Summaries and analysis of studies, standards, and benchmarks that matter with AI.
Studies show ~45% of AI-generated code carries OWASP-class flaws. The threat isn’t exotic - it’s ordinary defaults shipped at machine speed.
Malicious AI-branded SDKs, fake APIs, and extensions are the new supply chain. How they steal tokens and hurt startups - and what to watch.
Inside shift-based, AI-oiled chat factories that scale intimacy across apps and convert attention into deposits.
Live deepfake calls blend faces, voices, and authority to move money. Arup's loss shows founders must treat meetings as attack surfaces.
AI-cloned voices turn routine calls into urgent traps. How vishing exploits trust, scales with kits, and targets SMBs.
Catfishing has gone corporate. IMFI uses LLMs, scripts, and handoffs to mirror founders and funnel affection into theft.
AI makes voices, faces, and behavioral biometrics easy to counterfeit. Identity checks become theater. Assurance erodes.
AI phishing kits mimic executives, sync email, chat, and SMS, and regenerate when blocked. The scam didn't change–the scale and polish did.