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Tech and Science

Security's AI dilemma: Moving faster while risking more

Last updated: October 29, 2025 8:05 am
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AI is transforming the landscape of security operations, presenting both opportunities and challenges for CISOs and CIOs. As AI becomes more prevalent, there is a need to strike a balance between automation and human oversight in order to effectively leverage its potential.

The pressure to adopt AI in security operations is mounting, with organizations looking to streamline processes and improve efficiency. While AI can automate routine tasks and accelerate investigative workflows, there are certain tasks that still require human judgment. It is essential to identify where AI excels and where human validation is necessary to prevent unintended consequences.

Transparency is key when it comes to AI-driven decisions in security. Security teams need to understand the logic behind AI recommendations and how they were reached. This transparency builds trust in AI and allows for continuous improvement. The future likely involves a hybrid model where autonomous capabilities are integrated into guided workflows, with analysts remaining involved in complex decisions.

AI also presents challenges in terms of security, as attackers can leverage AI tools to exploit vulnerabilities at scale. Defenders must use AI defensively, while maintaining caution to prevent their AI from becoming a vulnerability. Continuous learning and skill development are crucial for security professionals to adapt to the changing landscape of AI in security operations.

Identity and access management in an agentic AI world presents another challenge, with the proliferation of agents requiring proper governance and permissions. Compliance and risk reporting offer immediate opportunities for AI in security operations, providing high value with low risk.

A strong data foundation is essential for AI-powered security operations to succeed, with a focus on accessibility, quality, and unified data contexts. The autonomous SOC is not a destination but a journey that requires continuous adaptation and collaboration between human expertise and AI capabilities.

In conclusion, the promise of the agentic AI era lies in building collaborative systems where human judgment guides AI capabilities towards optimal outcomes. By being intentional in our approach to AI adoption in security operations, we can unlock the full potential of AI while maintaining the strategic thinking and ethical oversight that security demands.

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