The article highlights a critical issue emerging from the RSA Conference 2026: the rapid rise of agentic AI—autonomous systems that can act, decide, and execute tasks—is outpacing the ability of organizations to secure and govern them. While enterprises are तेजी adopting these AI agents to boost productivity and automate workflows, security frameworks have not evolved at the same speed, creating a widening “AI security gap.”
A major concern discussed is the emergence of “shadow agents”—AI systems operating outside enterprise visibility and control. These agents are often deployed across endpoints and integrated into workflows without proper monitoring, making it difficult for organizations to track their behavior or manage risks. As AI shifts from simple chat-based tools to autonomous agents, this lack of visibility becomes a serious vulnerability, exposing systems to misuse or exploitation.
The article also emphasizes that traditional security models are no longer sufficient. Existing approaches based on identity, access control, and perimeter defense struggle to handle AI agents that can dynamically create tasks, access multiple systems, and operate independently. This shift requires new strategies focused on visibility, observability, and control, ensuring organizations can continuously monitor AI behavior and enforce policies in real time.
Ultimately, the piece concludes that securing the future of AI requires a proactive and AI-native security approach. Enterprises must build systems that can govern autonomous agents effectively, combining advanced monitoring tools with updated governance frameworks. Without addressing this gap, organizations risk losing control over increasingly powerful AI systems, turning a major productivity advantage into a significant cybersecurity threat.
