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AI Governance, Security, and Trust Take Center Stage

qantuslab
December 21, 2025
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As AI systems gain autonomy, risks increase:

1.Hallucinated decisions

2.Biased outputs

3.Security vulnerabilities

4.Misuse by malicious actors

In 2026, AI governance will be a business necessity, not a legal afterthought.

Key focus areas:

1.Audit trails for AI actions

2.Human-in-the-loop controls

3.Secure AI pipelines

4.Explainable AI (knowing why AI made a decision)

Why it matters:

Trust will be a competitive advantage. Companies that build safe and transparent AI systems will gain customer confidence and regulatory approval faster.

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