The Rise of Agentic AI: Cybersecurity and Sovereign Operational Risks (legrandcontinent.eu)

• Shift to autonomous agentic workflows reduces human oversight in technical development.
• Emergence of new attack vectors in AI supply chains and internal backend infrastructure.
• Dual-use nature of advanced models: potent tools for both defensive patching and zero-day exploitation.

"AI development is transitioning from conversational interfaces to autonomous agents capable of performing end-to-end operational tasks. As labs automate the training and debugging cycles, the pace of innovation remains aggressive. However, this proliferation of AI agents introduces significant systemic vulnerabilities. Companies are increasingly training proprietary models to maintain competitiveness, but face risks ranging from supply chain contamination to zero-day exploitation. While AI serves as a powerful defensive tool for vulnerability scanning, it simultaneously lowers the barrier for attackers to execute sophisticated cyber operations, necessitating a fundamental rethink of internal security architectures and data governance."