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Agentic AI in the Enterprise: Promise and Peril

GenAI Security
Blog

Highlights

  • Agentic AI is shifting GenAI from passive assistants to autonomous decision-makers in the enterprise.
  • Without strong data governance, these agents can unintentionally expose sensitive internal information.
  • CIOs must start small, build with security in mind, and adopt tools that prevent oversharing risks.

GenAI’s Next Leap: From Assistant to Agent

Generative AI has swept through the enterprise, with companies actively piloting tools like Microsoft Copilot and Google Gemini. But according to UiPath CIO Mihai Faur, this is just the beginning. The real transformation lies in agentic AI — autonomous virtual agents that don’t just assist, but act.

These agents can plan, take action, and make decisions independently across complex workflows. But with that power comes risk. Without proper guardrails, agentic AI introduces new liabilities, particularly around sensitive data access and oversharing.

“Generative AI lays the foundation, but what we need are large actionable models — agents that don’t just generate, but do.”
Mihai Faur, CIO, UiPath

Where Adoption Is Headed

❇️ Early adoption means competitive edge
Mihai sees agentic automation reshaping sectors from healthcare to financial services. Organizations experimenting now will gain operational and strategic advantages.

❇️ Enterprise orchestration is critical
The future of work includes humans, bots, and autonomous agents. Companies will need a secure orchestration layer to manage this hybrid workforce.

❇️ Data governance will define success
Without oversight, autonomous agents can inadvertently access and share sensitive files, turning productivity gains into security incidents.

Oversharing Is the Real Threat

While many CISOs worry about advanced attacks like prompt injection, Mihai points to a simpler and more common risk: oversharing.

UiPath is taking a proactive approach, building secure, internal autopilot tools and integrating human-in-the-loop systems to review high-impact decisions.

“What you don’t want is someone asking Copilot about executive salaries and getting a perfectly accurate answer.”
Mihai Faur, CIO, UiPath

Advice for CIOs Starting the Journey

➡️ Start small
Pilot tools like Microsoft Copilot or Glean, and restrict data access from day one.

➡️ Design with security in mind
Implement solutions like Opsin to detect and manage oversharing risks early.

➡️ Don’t wait
The sooner teams engage, the faster they’ll learn to scale GenAI responsibly.

Key Takeaway

Agentic AI isn’t on the horizon — it’s already in play. The organizations that thrive in this next wave won’t just embrace intelligent automation. They’ll be the ones who secure it.

About the Author

James Pham is the Co-Founder and CEO of Opsin, with a background in machine learning, data security, and product development. He previously led ML-driven security products at Abnormal Security and holds an MBA from MIT, where he focused on data analytics and AI.

Agentic AI in the Enterprise: Promise and Peril

Highlights

  • Agentic AI is shifting GenAI from passive assistants to autonomous decision-makers in the enterprise.
  • Without strong data governance, these agents can unintentionally expose sensitive internal information.
  • CIOs must start small, build with security in mind, and adopt tools that prevent oversharing risks.

GenAI’s Next Leap: From Assistant to Agent

Generative AI has swept through the enterprise, with companies actively piloting tools like Microsoft Copilot and Google Gemini. But according to UiPath CIO Mihai Faur, this is just the beginning. The real transformation lies in agentic AI — autonomous virtual agents that don’t just assist, but act.

These agents can plan, take action, and make decisions independently across complex workflows. But with that power comes risk. Without proper guardrails, agentic AI introduces new liabilities, particularly around sensitive data access and oversharing.

“Generative AI lays the foundation, but what we need are large actionable models — agents that don’t just generate, but do.”
Mihai Faur, CIO, UiPath

Where Adoption Is Headed

❇️ Early adoption means competitive edge
Mihai sees agentic automation reshaping sectors from healthcare to financial services. Organizations experimenting now will gain operational and strategic advantages.

❇️ Enterprise orchestration is critical
The future of work includes humans, bots, and autonomous agents. Companies will need a secure orchestration layer to manage this hybrid workforce.

❇️ Data governance will define success
Without oversight, autonomous agents can inadvertently access and share sensitive files, turning productivity gains into security incidents.

Oversharing Is the Real Threat

While many CISOs worry about advanced attacks like prompt injection, Mihai points to a simpler and more common risk: oversharing.

UiPath is taking a proactive approach, building secure, internal autopilot tools and integrating human-in-the-loop systems to review high-impact decisions.

“What you don’t want is someone asking Copilot about executive salaries and getting a perfectly accurate answer.”
Mihai Faur, CIO, UiPath

Advice for CIOs Starting the Journey

➡️ Start small
Pilot tools like Microsoft Copilot or Glean, and restrict data access from day one.

➡️ Design with security in mind
Implement solutions like Opsin to detect and manage oversharing risks early.

➡️ Don’t wait
The sooner teams engage, the faster they’ll learn to scale GenAI responsibly.

Key Takeaway

Agentic AI isn’t on the horizon — it’s already in play. The organizations that thrive in this next wave won’t just embrace intelligent automation. They’ll be the ones who secure it.

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