MarKeisha
Snaith
Director, AI Security Governance at Xire
"From Chaos to Clarity: A Practical AI Governance Playbook for Security and Tech Teams"
"From Chaos to Clarity: A Practical AI Governance Playbook for Security and Tech Teams"
Wed May 13 - 10:30 AM EDT/New York (See in local time)
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05/13/2026 10:30 AM
05/13/2026 10:50 AM
America/New_York
#WTGC2026
"From Chaos to Clarity: A Practical AI Governance Playbook for Security and Tech Teams"
#WTGC2026
"From Chaos to Clarity: A Practical AI Governance Playbook for Security and Tech Teams"
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"From Chaos to Clarity: A Practical AI Governance Playbook for Security and Tech Teams"
"From Chaos to Clarity: A Practical AI Governance Playbook for Security and Tech Teams"
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Session: From Chaos to Clarity: A Practical AI Governance Playbook for Security and Tech Teams
Everyone is talking about “responsible AI,” yet many teams are still guessing their way through risk assessments, approvals, and documentation. This session gives you a practical, non‑academic AI governance playbook you can start using the same day.Drawing on real experience standing up governance for cloud security tools and AI initiatives, I’ll walk through how to turn high‑level principles into lightweight guardrails that engineers, analysts, and product owners will actually follow. We’ll map a sample AI use case to a simple lifecycle (idea, design, build, deploy, monitor) and plug in concrete controls at each step: data protection, access, model transparency, human oversight, and incident response.
You’ll see how familiar frameworks (like NIST‑style control families and emerging AI risk guidance) can be translated into checklists, intake forms, and review workflows instead of long PDFs no one reads. We will also cover how to communicate governance in a way that reduces fear, builds trust with leadership, and positions you as a partner—not a “no” person—on AI projects.
By the end, attendees will leave with templates, conversation prompts, and a clear first‑90‑days roadmap to start or strengthen AI governance at their organization, even without a big budget or formal title.
Key Takeaways
- Map one AI use case end‑to‑end and identify the highest‑impact risks at each stage of its lifecycle (from idea to monitoring).
- Design a simple AI review workflow (intake questions, approval criteria, and documentation) that fits into current processes instead of creating bureaucracy.
- Communicate AI risks and trade‑offs in plain language that earns trust from leadership and non‑technical stakeholders.
- Draft a 90‑day action plan to start or strengthen AI governance in their organization without waiting for perfect regulations or tools.
Bio
MarKeisha Snaith is a Director of AI Security Governance and AI risk practitioner who helps organizations operationalize AI and cloud governance in regulated environments—without slowing delivery. Her work spans system security plans, control mapping, and security review processes that bring engineering, compliance, and business leaders into a shared, practical approach to risk.Outside of enterprise work, she leads an education and career coaching program supporting women and underrepresented professionals pursuing security and AI-related careers. MarKeisha is known for translating complex standards—like NIST-style security controls and emerging AI governance guidance—into playbooks, templates, and decision frameworks teams can execute immediately.
