ARTICLE · 20 AUGUST 2026

Why “Secure AI” Still Isn’t Enough For High-Stakes Work

Apertera

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AI is everywhere. It’s being tested, approved, and rolled out across organizations. Inaccurate and hallucinated outputs continue to surface, and legal and professional consequences make headlines. Earlier this year, the Georgia Supreme Court suspended a prosecutor after AI-generated fake citations appeared in a court filing, leading the court to vacate the ruling entirely.

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AI is everywhere. It’s being tested, approved, and rolled out across organizations.

Inaccurate and hallucinated outputs continue to surface, and legal and professional consequences make headlines. Earlier this year, the Georgia Supreme Court suspended a prosecutor after AI-generated fake citations appeared in a court filing, leading the court to vacate the ruling entirely.¹

It’s becoming widely understood that generic AI isn’t built for high-stakes environments. The conversation has shifted to secure, approved systems as the path forward.

According to Grant Thornton’s 2026 AI Impact Survey, 78% of executives lack confidence they could pass an independent AI governance audit within 90 days.² Organizations are responding accordingly.

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