As More Coders Adopt AI Agents, Security Pitfalls Lurk in 2026
Developers are leaning more heavily on AI for code generation, but in 2026, the development pipeline and security need to be prioritized.
Source: This article was originally published on Dark Reading
Read full article on source →Related Articles
Best of 2025: GitHub Copilot Evolves: Agent Mode and Multi-Model Support Transform DevOps Workflows
GitHub Copilot adds Agent Mode with MCP support to all VS Code users, bringing agentic capabilities and multi-model choice that will revolutionize DevOps workflows.
_Yuri_Arcurs_alamy.jpg?width=1280&auto=webp&quality=80&disable=upscale)
Dark Reading Opens The State of Application Security Survey
Take part in the new survey from Dark Reading and help uncover trends, challenges, and solutions shaping the future of application security.
Trust Wallet Chrome extension hack tied to millions in losses
Several users of the Trust Wallet Chrome extension report having their cryptocurrency wallets drained after installing a compromised extension update released on December 24, prompting an urgent...
Critical LangChain Core Vulnerability Exposes Secrets via Serialization Injection
A critical security flaw has been disclosed in LangChain Core that could be exploited by an attacker to steal sensitive secrets and even influence large language model (LLM) responses through prompt...
ChatGPT’s new formatting blocks make its UI look more like a task tool
OpenAI has quietly rolled out 'formatting blocks,' which tweak GPT's layout to match the UI of the task it is supposed to execute. [...]
Best of 2025: Five Trends That Will Drive Software Development in 2025
In 2025, developers will broaden the scope of how they use AI with promising new applications for reducing technical debt and improving security.