Cisco Security Blog: Zero Trust in the Era of Agentic AI

Sep 8, 2025

—

Source URL: https://feedpress.me/link/23535/17139660/zero-trust-in-the-era-of-agentic-ai
Source: Cisco Security Blog
Title: Zero Trust in the Era of Agentic AI

Feedly Summary: AI agents use the same networking infrastructure as users and apps. So security solutions like zero trust should evolve to protect agentic AI communications.

AI Summary and Description: Yes

Summary: The text emphasizes the need to adapt security solutions, particularly zero trust frameworks, to account for AI agents utilizing the same networking infrastructure as human users and applications. This is critical for professionals in AI, security, and compliance fields as the landscape of AI communications necessitates an evolution in security measures.

Detailed Description:
– The statement highlights a significant convergence of AI and traditional networking infrastructure, proposing that AI agents should be subject to similar security measures as human-operated systems.

Key Points:
– AI agents are increasingly integrated into existing networking infrastructures, which exposes them to the same vulnerabilities that traditional users and applications face.
– The concept of zero trust security, which assumes that threats could be internal or external, is suggested as a framework that should adapt to include protections for AI communications.
– This evolution in security solutions is vital to ensure the integrity and confidentiality of data transmitted by AI agents, thereby mitigating risks associated with potential breaches or unauthorized access.

Practical Implications for Security Professionals:
– Security professionals must evaluate their existing security protocols and tools to ensure they adequately address the risks posed by AI-driven entities in their networks.
– Implementing a zero trust model that encompasses AI communication may require additional monitoring, authentication mechanisms, and real-time threat detection specific to AI behaviors.
– A proactive approach in updating security frameworks can significantly reduce the likelihood of security breaches, ultimately enhancing the overall resilience of infrastructure that incorporates AI technologies.

Further considerations may include collaboration between AI developers and security teams to stay ahead of emerging threats that exploit the AI communication pathways.

1 2 3 5 53 7 a access account Act age agent agentic agentic AI agents AI AI behavior AI developers AI technologies All and app Application applications art as at ated authentication authentication mechanisms Behavior Bi breach breaches by C CI CIA Cisco Cisco Security Cisco Security Blog co Col collaboration communication Communications. compliance concept confidentiality convergence critical D data de detection developer developers drive driven e emerging emerging threats exp exploit External face for framework frameworks g Gen H high Highlight HR http HTTPS human implications implications for security in infrastructure infrastructures integrity inter intern io J k Key l Labor land led Li Link M man measures Mila mitigating risks Mode model Monitor monitoring N network Networking networking infrastructure networks no o of on ons oS over per point potential practical implications pre pro proactive proactive approach professionals protection protocol protocols ps Q R rate RCE re real real-time real-time threat detection red Resil resilience Risk risks Ro RoT Rust s sam sec security security breach security breaches security framework security frameworks security measure security measures security professionals security protocols security solutions security team security teams side Sig Sim size sizes SoC solutions source specific SSE SSO state structures system systems T team Teams tech technologies ted text the threat threat detection threats Time time threat detection to tool tools Tor TP trust trust frameworks trust model Trust Security two UI unauthorized access up US use user Users uth V val vulnerabilities Wi x z zero Zero Trust zero trust frameworks Zero Trust model Zero Trust security