Gurpreet Kaur Khalsa

Principal Product Manager

AI Software & Platform

Gurpreet Kaur Khalsa is a Principal Product Manager at Cisco, where she leads AI Runtime and Agentic Security strategy as part of Cisco's AI Defense product within the AI Software and Platform Group. With deep expertise spanning AI security, application security, and responsible AI, Gurpreet has built and shaped products that help enterprises safely adopt and deploy generative AI and agentic systems. Previously at Palo Alto Networks, she led product strategy for securing generative AI applications across the enterprise. Gurpreet holds a Master's degree from UC Berkeley, where her research focused on responsible AI — a lens she brings to industry stages regularly, speaking on topics ranging from AI governance and safety to the emerging security challenges of agentic architectures. She is driven by the belief that security and responsibility must be built into AI from the ground up, not bolted on after the fact.

ARTIFICIAL INTELLIGENCE - AI

Nicholas Conley

Gurpreet Kaur Khalsa

Introducing Agent Harness Testing in Cisco AI Defense

3 min read

Today, we are excited to introduce Agent Validation as a new evaluation capability in AI Defense: Explorer Edition, the free self-service version of Cisco AI Defense, that is built specifically for agentic AI systems. Agent Validation builds on.....

Cisco AI Defense Policy Studio: Turning Unwritten Policy into Adaptive AI Guardrails

5 min read

Cisco's Integrated AI Security and Safety Framework and our recent work on defining taxonomy constitutions focused on defining and detecting common risks shared among enterprises when deploying AI. However, while most enterprises share a lot of.....

ARTIFICIAL INTELLIGENCE - AI

Barry Yuan

Gurpreet Kaur Khalsa

Try Cisco AI Defense Explorer Edition in this hands-on lab

3 min read

A practical DevNet lab for connecting a public OpenAI-compatible target to Cisco AI Defense Explorer, running a Quick Scan, and reviewing AI red team findings.

ARTIFICIAL INTELLIGENCE - AI

Emile Antone

Gurpreet Kaur Khalsa

Cisco AI Defense: Explorer Edition Brings Agentic AI Red Teaming to Builders

2 min read

When we launched Cisco AI Defense early last year, it marked a major milestone in our greater mission to enable secure AI adoption. It was the industry’s first comprehensive AI security solution, offering centralized visibility into AI assets, robust algorithmic red teaming for models, and runtime protections for AI applications. More recently, the rapid proliferation of agents has sparked significant conversation around the numerous associated risks with their deployment. Last month, we announced updates to AI Defense to combat agentic risk with capabilities like MCP scanning, agentic red teaming, and purpose-built guardrails.