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Policy Studio

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Chapter 1 Thumbnail
00:04
Welcome and Policy Studio Overview
Chapter 2 Thumbnail
00:50
Why Adaptive Guardrails and Getting Started
Chapter 3 Thumbnail
01:32
Profile Setup, Intent, and Contextual Risk
Chapter 4 Thumbnail
02:29
Insights Engine, Audit Trail, and Synthetic Evaluation
Chapter 5 Thumbnail
03:59
Attaching Guardrails, Human-in-the-Loop, and Conclusion

Transcript

Welcome to today's session on Cisco AI Defenses policy studio. We will be delving into what makes this tool a crucial element for adaptive security in AI systems. Let's begin with an overview of the policy studio. This sophisticated workspace.00:04This facilitates the creation, testing, and management of adaptive guardrails designed for AI agents, unlike conventional guardrails which provide static universal security. Policy studio allows for dynamic and context specific protection. Key features include intelligent policy generation and insights engine to prevent review fatigue and synthetic.00:20Evaluation to test policies against potential risks. Auditability ensures a traceable history of policy changes capturing both AI and human inputs.00:40You might wonder about the necessity of policy studio when standard guardrails are already in place. Think of standard guardrails as the essential safety mechanism, whereas adaptive guardrails offer nuanced protection based on business context. The additional context to where reasoning provided by policy studio offers precision by allowing customization based on high level intents.00:50Send specific business goals. To begin utilizing policy studio, navigate to the left pane of AI defense and select policy studio. From there, create a new policy profile by clicking the new policy profile button. This initializes the process of establishing adaptive protection tailored to your organization's needs.01:10Assign a name to your policy profile and choose the direction of the guardrail, focusing on responses, prompts or both. After making your selections, launch the policy studio to proceed with developing a comprehensive policy framework. To illustrate the capabilities of policy studio, let's consider an AI chatbot scenario.01:32While standard guardrails may block competitor related queries strictly, the studio allows crafting nuanced responses aligned with your business intent. We initiate this by defining the intent and uploading relevant policy documents into the policy studio.01:52The platform uses these inputs to generate and refine adaptive policies effectively. In policy studio, contextual risk is paramount by comprehensively defining the environment, the studio predicts potential edge cases, thereby crafting a robust guardrail, the generated policy includes a summary of key elements such as for.02:05Flags and insights for further review.02:25Policy studio's insights engine significantly streamlines the review process by focusing only on high impact recommendations, it maintains an efficient feedback loop. You can review insights, agree or disagree, and add further context if required. This adaptability reinforces the accuracy and relevance of your policy.02:29Once the insights are reviewed, click rewrite policy to integrate feedback into the final version. The system tracks and displays an audit trail distinguishing AI generated logic from human contributions, thereby ensuring compliance and traceability. After establishing your guardrail, it's crucial to evaluate it. Policy studio provides.02:50Put synthetic prompts to test the policy proactively. Metrics like precision, recall, and F one scores are available in real time, allowing you to adjust and enhance policy accuracy before implementation.03:10This thorough evaluation ensures the policy is robust and effective. On this slide, we explore the importance of synthetic evaluation to generate vital safety metrics such as accuracy and F one scores. By simulating production behavior and generating 20 synthetic samples, you gain real time insights into how your policies perform.03:22Additionally, you have the flexibility to input custom test prompts offering a personalized approach to confirming the effectiveness of your adaptive guardrails. This proactive method ensures that your AI defenses are calibrated to meet the dynamic challenges they will face in practical scenarios.03:42In this section, we discuss attaching the adaptive guardrail profile to your target policy. Once verified, it's packaged and runs parallel with your existing security measures, providing an additional layer of intelligent adaptive protection. Using policy studio, you're not just configuring security, but engaging in a dynamic human in the loop conversation to shape the.03:59Industry standard guardrails. This nuanced approach enables both baseline security and complex business specific checks to coexist and ensure comprehensive protection. As we conclude, remember that policy studio is more than a configuration tool. It's about harnessing AI to foresee and counteract edge cases effectively. We thank you for participating in this session.04:19And encourage you to apply these insights to your environments.04:39As always, your feedback is invaluable to Cisco's AI defense mission. Please continue to share your experiences and observations from the field. Have a great day ahead.04:42

About this Video

Author : Cisco Customer Success

Uploaded : November 10, 2026

SecurityCisco AI Defense
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AI summary

Explore Cisco AI Defense Policy Studio, a workspace for creating, testing, and managing adaptive guardrails. See intelligent policy generation, an insights engine that curbs review fatigue, audit trails distinguishing AI and human inputs, and synthetic evaluation with precision, recall, and F one metrics. Learn how to define intents, upload policy documents, refine context, rewrite policies, and attach adaptive profiles that run alongside existing security.

  • Enable and deploy adaptive guardrails from a new policy profile.
  • Validate and tune policies using synthetic prompts and real time metrics.
  • Activate auditability and human in the loop review for compliant protection.