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All issues › Volume 344, Issue 1 › IT News › AI

Top 7 AI Security Skills Companies Must Prioritise in 2026

Analytics Insight, Monday, November 2nd, 2026

Seven AI security skills companies need in 2026, from LLM and prompt injection defense to AI governance, cloud security and agent safeguards.

As companies adopt AI, protecting AI systems has become a cybersecurity priority, and Analytics Insight lists seven skills teams need.

They include AI security expertise in model vulnerabilities, data exposure and adversarial attacks, and LLM security against prompt injection, jailbreaks and malicious inputs.

AI governance and risk management covers policies, accountability, privacy, bias and compliance.

Cloud and infrastructure security protects the APIs, data and compute behind AI, while security automation skills help teams configure, safeguard and validate AI agents that handle monitoring and response.

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