From blocking to managing
We’ve looked at the new security challenges posed by agentic AI. You can’t solve them by simply locking down the system, as that defeats the purpose of autonomous agents.
Many organizations are turning to integrated, full-stack cloud platforms to give them greater oversight. 69% of surveyed executives now rate a full-stack platform as a critical requirement, and 80% say data compliance is the primary factor dictating that choice.
By adopting frameworks like the Secure AI Framework (SAIF) and moving to a central control plane, purpose-built platforms such as Gemini Enterprise Agent Platform, organizations can manage risk in three main areas:
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Secure-by-default design: Embedding security directly into the AI development process to proactively guard against threats including prompt injection.
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Agent governance and oversight: Adopting purpose-built permission and identity management for agents — giving greater control over agent interactions, exposing blind spots and limiting risks tools.
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Human-in-the-loop control: Enforcing clear rules that automatically flag when an agent requires human approval before moving forward with a critical action.
Governance will guide you to success
The true value of a modern security foundation is its ability to encourage innovation. By embedding robust governance directly into a unified foundation, organizations can deploy agents with confidence across their most sensitive, business-critical workloads.
The leaders of the agentic era are re-architecting their stack to use security as a launchpad — empowering them to innovate securely and scale faster than their competition.
Find out more about how enterprise leaders are rethinking security for the agentic era in the State of AI infrastructure report.
