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AI Readiness 6eFXriW\ Workshop

D A T A S H E E T

The Workshop Process

• Introductory Call Setting expectations for the engagement & determining sensors/ data needs

• Data Collection Deploying our sensors to scrutinize the environment, detecting shadow AI use, sensitive data exposure & gaps in security posture

• Discovery Detailed session to uncover security needs and align with business objectives.

• Analysis Our experts evaluate discovery insights and sensor data to deliver precise security findings & recommendations.

• Delivery A comprehensive report detailing the customers current security posture, operational efficiency and actionable recommendations.

 Faster, safer AI adoption without slowing innovation

 Reduced data leak risk from unsanctioned tools and embedded AI features

 Clear governance: who approves what, what data is allowed, and how oversight works

 Actionable roadmap to move from experimentation to secure, repeatable deployment

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, Ɏshadow AIɏ 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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