Five key security takeaways from Black Hat 2026
🔐 AI dominated Black Hat and DEFCON discussions, highlighting both its value as a defense tool and the risks posed by autonomous agents and malicious AI skills. Speakers urged moving beyond reactive patching toward durable designs, memory-safe languages like Rust, and automated remediation. Researchers revealed AI-based supply-chain attacks, methods to use GitHub telemetry for detections, and human-led AI research uncovering new vulnerabilities. A NAT-based attack class called NatJack was disclosed, prompting vendor patches.
