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Building AI-native workflows starts with the business outcome an organization wants to achieve.
Summary
It requires rethinking how people, processes and data work together across an entire task. Enterprise software company Workiva Inc. is applying that approach internally as it develops capabilities for finance and compliance teams.
This summary is a partial excerpt — the source's own feed cuts off here. Read the full story at Siliconangle for the rest.
KazaSec's take
AI-related security incidents are a genuinely new category — prompt injection, model manipulation, and data leakage through an LLM integration don't map cleanly onto traditional application security testing, and are worth assessing deliberately rather than assuming existing controls already cover them.
Coverage details
We've archived 206 other articles touching the same topic (ai-native workflows, workiva agent studio, ai agents) — see the full security news archive.
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