PRESENTED BY

Enabling innovation with guardrails

Organizations are moving quickly toward generative AI to improve services, accelerate staff productivity, and modernize operations. But AI introduces new risks: sensitive data exposure through copy / paste, shadow AI usage, and AI features appearing inside already-approved applications. The AI Readiness Security Workshop helps your organization capture the benefits of GenAI while establishing practical governance and security guardrails to protect residents, employees, and mission-critical operations

Framework Overview:

The AI Readiness Security Workshop uses a control-driven framework designed for government environments where sensitive data, public trust, and compliance requirements matter.

• Data protection & prompt safety We assess how regulated and confidential data is protected when interacting with AI, including data classification guardrails, prompt redaction, and retention of prompts and outputs.

• AI access & identity controls We evaluate how access to AI tools is enforced, including SSO, MFA, conditional access, blocking personal accounts, and limiting usage to approved models, providers, and regions.

• Shadow AI visibility & control We identify and address unsanctioned AI usage, including browser extensions, desktop agents, and unmanaged AI tools, and evaluate controls to monitor or block risky activity.

• Vendor, model & connector governance We review AI vendor data handling, training on customer data, data residency, and connector governance, including least-privilege OAuth scopes and third-party integrations.

• Human safeguards & workforce readiness We focus on training, awareness, and review processes to ensure employees understand AI risks and that AI-generated content is validated by humans before external use.

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