Forrester’s Q4 2025 AI Pulse Survey reveals that 50% of organizations are piloting agentic AI, while only 24% have it in production. Meanwhile, security teams are scrambling to catch up. The recent RSAC Innovation Sandbox showcased how finalists like Geordie AI and Realm Labs are tackling the dual challenge of AI governance and security workload management. This isn’t just innovation; it’s a race against time to secure enterprises from AI risks.
The landscape of enterprise AI is shifting rapidly. With half of organizations experimenting with agentic AI, the urgency for effective governance and risk management in AI systems has never been greater. Companies like Geordie AI, which won the RSAC Innovation Sandbox for its AI governance platform, highlight the pressing need for visibility and control over AI agents. This is crucial as security teams face increasing workloads due to AI’s expanding role in operations. Now is the time for enterprises to reassess their AI strategies and invest in tools that can manage these complexities before they spiral out of control.
The Patterns Worth Paying Attention To
1. AI Agent Management
Geordie AI’s platform discovers AI agents across code, cloud, and endpoints, providing crucial visibility into their actions. This capability is essential as AI systems proliferate within enterprises, often without adequate oversight.
2. Runtime Observability
Geordie AI’s approach includes mapping each agent’s capabilities and connections. This level of detail allows security teams to monitor actions in real-time, reducing the risk of unmonitored AI behavior.
3. Intent Classification
Realm Labs focuses on runtime monitoring to analyze AI behavior. This could provide insights into harmful versus benign actions, crucial for effective security measures.
4. Workload Mitigation
As AI becomes more integrated, the workload for security teams grows. Solutions that automate risk assessments or streamline monitoring can help alleviate this pressure, allowing teams to focus on strategic security initiatives.
What the Evidence Actually Says
- Forrester’s Q4 2025 AI Pulse Survey indicates 50% of organizations are piloting agentic AI, with only 24% in production.
- Geordie AI won the RSAC Innovation Sandbox for its platform that maps AI agents and provides runtime observability.
- Realm Labs is noted for its monitoring tools that can distinguish between harmful and benign AI actions.
- The finalists at RSAC addressed critical enterprise issues, including AI governance and workload management.
Source note: The data reflects findings from Forrester and details from the RSAC Innovation Sandbox event, providing a reliable snapshot of the current AI landscape in enterprises.
What Most People Get Wrong
Many believe that AI governance is purely about compliance and regulation. This perspective is limited. While ensuring adherence to laws and standards is important, it misses the broader implications of AI’s integration into daily operations.
Effective governance also involves continuous monitoring and adaptation to the evolving AI landscape. Geordie AI’s platform highlights that understanding and managing the capabilities of AI agents is just as crucial as compliance. Organizations that prioritize operational oversight alongside compliance will be better prepared to mitigate risks and leverage AI effectively.
Quick Checklist
- Assess your current AI systems for governance gaps.
- Explore AI monitoring tools like Geordie AI and Realm Labs.
- Train security teams on the implications of agentic AI.
- Implement runtime observability solutions to track AI actions.
- Regularly review AI strategies to align with evolving threats.
What to Do This Week
Open a discussion with your security team about current AI governance practices. Identify gaps in monitoring and agent management. Schedule a demo with Geordie AI or Realm Labs to explore how their solutions can enhance your oversight capabilities.