Why machine identities now drive trust in banking

11 hours ago

Identity security in banks is often overlooked until an incident occurs, similar to AI's current trajectory in financial services.
AI is widely used in fraud detection, trading strategies, underwriting, and customer interactions, but oversight lags behind adoption.
The risk lies not in AI's performance but in the identities and authority granted to machine identities, which now vastly outnumber human ones.
Shadow AI is creating unaccountable authority, with issues like authentication paths, privilege drift, and decision influence emerging.
When AI identity risks surface, discovery tools often fail to catch issues in time, leading to post-event explainability challenges.
Regulators globally are focusing on AI governance, accountability, and operational resilience, with frameworks like DORA and the EU AI Act.
Financial institutions must treat AI systems as digital coworkers, ensuring accountability for their access and behavior.
Trust in AI systems requires clear visibility, defined boundaries, and the ability to intervene quickly as conditions change.

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