Why AI Agents Need Governance
Oracle Integration helps your agentic AI access enterprise data and applications in a governed and repeatable way.
Everyone is building agents
AI agents, which are easier to build than ever and coming from many sources, are changing the landscape of automation development:
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Rapid development
Organizations can now build agents quickly, often in just a few days.
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Independent development
Business teams can build agents independently, without assistance from engineering teams.
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Agent proliferation
Many business teams and partners are actively developing agents, and enterprise applications and engineering platforms now offer embedded agents.
Automation requirements haven't changed
Whether you're building an integration for predictable automation or an AI agent for adaptive automation, the requirements haven't changed. Regardless of their source, all agents need access to same resources:
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Systems of record
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Data and knowledge
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Business operations
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People
Additionally, you need to understand the impact of giving agents access:
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What applications and data can an agent access?
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What is the outcome of an agent's actions?
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How can you observe, interpret, and audit an agent's actions?
These questions aren’t new; they’re the same ones you’d ask when building reliable, predictable automation. The difference is that agent development has outpaced the tools to govern it. As a result, you face an untenable tradeoff: Without trust, agents can’t access your systems of record. Without that access, agents can’t fulfill their promise of human-like reasoning and creativity.
Autonomy requires trust and verification
Oracle Integration removes this tradeoff. It gives your organization the tools to govern, observe, and audit AI agents, so you can confidently grant them access to enterprise systems while verifying that every action aligns with your expectations.
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