These 4 critical AI vulnerabilities are being exploited faster than defenders can respond

This report outlines four critical AI security challenges—autonomous agent abuse, prompt injection, data poisoning, and deepfake fraud—backed by documented incidents (e.g., a Chinese state-sponsored autonomous attack using Claude Code, malicious Hugging Face models, and a $25.6M deepfake-enabled heist). Researchers find prompt injection broadly effective with no foolproof defenses, poisoning feasible at low cost and scale with persistent backdoors, and deepfake detection lagging while attacks target executives. With regulatory and technical safeguards still maturing, the article stresses process-based controls (e.g., callback verification, multi-party approvals) and cautions against overreliance on “guardrail” products.