NeuralTrust Mentioned in Gartner Research on Governing AI Copilot Agents
NeuralTrust has been mentioned in Gartner’s latest research report, “5 Steps to Govern Copilot Agents While Empowering Users.” The report, led by Gartner analyst Olga Martí, explores one of the most pressing challenges enterprises face as AI adoption accelerates: how to maintain effective governance while enabling users to benefit from increasingly autonomous AI systems.
The growing role of AI copilots and agents
Across industries, organizations are rapidly adopting AI copilots and agents to enhance productivity. These systems help employees automate workflows, retrieve information faster, and interact with enterprise tools in new ways. From internal knowledge assistants to autonomous workflow automation, AI copilots are quickly becoming embedded in daily operations.
As their capabilities expand, however, so does their level of autonomy. AI agents are increasingly capable of performing actions, accessing applications, and making decisions with minimal human intervention. This shift introduces a new set of governance challenges that many organizations are only beginning to address.
Why governance is becoming more complex
Historically, AI risk management focused largely on the outputs generated by models. But modern AI agents extend far beyond text generation or recommendations. They can execute tasks, call tools, and interact with multiple enterprise systems.
As a result, the scope of governance must expand beyond model outputs to include the broader operational context in which AI agents operate.
Organizations now need to consider risks related to:
- Tool usage
- Cross-application access
- Data exposure and leakage
- Privilege escalation
- Real-time decision making
These risks emerge not only from the model itself but from the actions agents can perform across enterprise infrastructure.
From static policies to runtime governance
One of the key messages highlighted in Gartner’s research is that traditional governance approaches are no longer sufficient. Static policies, manual reviews, and periodic audits cannot keep pace with AI systems that operate continuously and autonomously.
Instead, governance must evolve toward continuous runtime oversight.
Copilot agents increasingly act on behalf of users. They may access internal tools, retrieve sensitive data, and execute actions across applications. In this environment, governance mechanisms must operate with the same speed and depth as the agents themselves.
This requires new forms of visibility, monitoring, and policy enforcement that operate in real time.
Building the control plane for AI systems
At NeuralTrust, we believe effective AI governance should be designed around four core principles.
First, governance must be observable. Organizations need full visibility into how AI systems behave in production, including the actions agents take and the resources they access.
Second, governance must be enforceable. Security policies cannot remain theoretical guidelines. They must be applied dynamically and enforced during runtime.
Third, governance must be measurable. Enterprises need clear metrics to understand AI risk, track policy compliance, and evaluate system behavior over time.
Finally, governance must operate at the infrastructure level. As AI systems interact with multiple applications, services, and tools, security controls must extend across the entire AI stack rather than being confined to individual applications.
AI agent governance is becoming a strategic priority
Empowering users with AI capabilities and maintaining strong governance are not opposing goals. Organizations that succeed in deploying AI responsibly will be those that establish the right control plane to manage risk while enabling innovation.
NeuralTrust’s mention in this Gartner report, for the second consecutive week in Gartner research, reinforces the growing recognition that AI agent governance is rapidly becoming a strategic priority for enterprise leaders.
Gartner members can access the full report, “5 Steps to Govern Copilot Agents While Empowering Users,” through the Gartner website.
If interested in learning more about our Platform for AI Agent Security, schedule a demo with our team.
