The top software development security challenges: The AI's have it

An industry survey of 250 technology leaders finds security, AI code reliability, and data privacy to be top 2025 challenges, driven by LLM adoption, software supply chain risk, API/microservices complexity, and stricter regulations. Experts warn that AI-generated code can be unreliable and legally problematic, attackers are automating discovery and exploitation (including supply chain backdoors and deepfake-enabled phishing), and privacy risks are rising with advanced model attacks on anonymization; they urge shifting developer skills toward AI code review, strengthening API and agentic AI governance, adopting privacy-preserving techniques where feasible, and deploying AI-powered AppSec tooling to keep pace.