AI cybersecurity is technical in its treatment but strategic in its consequences. It cannot be delegated to IT alone. It is a question of strategic responsibility that escalates to decision-making level.
AI cybersecurity refers to all security risks specifically linked to artificial intelligence systems: model manipulation, training data poisoning, vendor dependency exploitation, and hijacking of automated decision-making systems.
At tointelligence, we distinguish classic IT cybersecurity (infrastructure vulnerabilities) from AI cybersecurity (decisional vulnerabilities). The second creates specific governance exposure for the executive committee. For French executives, AI cybersecurity escalates to board level, not only to the CISO.
AI cybersecurity does not only protect your systems. It protects the integrity of the decisions they influence. AI modifies the attack surface, but also the nature of the security decision. It introduces risks related to data, models, prompts, APIs, access, vendors, autonomous agents and uncontrolled usage.
AI cybersecurity must not remain at technical level only. The executive committee must understand which risks can affect continuity, reputation, liability and control capability.
With AI agents, the cyber risk is no longer only that a system produces a wrong answer. It is that it triggers a wrong action: unauthorised access, sending, validation, modification. Kill switches and action logs become governance requirements.
Regulation recognises what technology cannot manage alone. The EU AI Act requires deployers to supervise their high-risk AI systems. AI cybersecurity becomes a component of executive governance, not only IT policy.
We assess your AI exposure at decision level. Exclusively executive committees and general management.
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