The race to adopt agentic AI is accelerating, but speed is risking strategic discipline among organizations. As businesses rush to capitalize on AI, they may overlook critical factors like talent, governance, and risk management. Security has emerged as a significant concern, especially following a November 2025 cyber incident involving Anthropic’s Claude Code, where a nation-state attacker exploited AI to autonomously conduct over thirty targeted cyberattacks. This incident highlighted that compromised AI agents can transform into tools for cybercrime, capable of executing large-scale attacks with minimal human intervention. Effective defense against such threats requires skilled personnel who understand the risks associated with AI. Continuous upskilling and monitoring of AI technologies are crucial for securing the enterprise Software Development Life Cycle (SDLC). Organizations must enhance traceability and observability of AI tools to mitigate risks effectively, ensuring resilience against both emerging and existing threats while avoiding reliance on outdated security approaches.
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