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Data Security Considerations For Building Enterprise AI Agents

Every agent action is an attack surface. Here's what enterprise security teams are missing.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As AI agents move from prototype to production in enterprises, data security vulnerabilities in agent pipelines are becoming a critical governance and risk management concern that boards and security leaders need to understand.

The key facts

6 to know
  1. Focus on untrusted input exploitation vectors in AI agent pipelines

  2. Enterprise agent deployment creating new security attack surfaces

  3. Data security considerations for agent-based systems in production environments

  4. Agent pipeline exploitation risk from untrusted input processing

  5. Enterprise AI agent security governance gap identified

  6. Forbes Tech Council perspective on agent deployment safety

Go to the source

Forbes Innovationforbes.com

Publisher excerpt: Every time an agent acts on untrusted input, it creates an opportunity for that pipeline to be exploited.
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