Agentic AI Governance: Cybersecurity, Liability, Guardrails

About the Course

Introduction

This CLE webinar will examine how corporate counsel should evaluate, govern, and document enterprise use of agentic AI, including systems that can autonomously execute multi-step actions, access enterprise tools, and rely on third-party extensions or "skills." The panel will use recent OpenClaw and Moltbook storylines as the launch point to a discussion of legal risk across cybersecurity, data security, vendor management, and internal governance, including what happens when agents act faster than humans can supervise and when permissions are broader than intended.

Description

As agentic system adoption accelerates, legal departments are increasingly participants in risk abatement efforts, including authorization boundaries, data handling and access controls, human-review thresholds, auditability and logging, and incident response.

The panel will examine hallucination-driven misrepresentation, fraud, and social engineering pathways that exploit agent workflows and contracting for risk allocation among platform providers, deployers, and enterprise users.

Listen as our panel navigates building defensible governance frameworks and agreements for agentic AI deployment at enterprise scale and preparing for disputes, investigations, and board-level oversight.

Presented By

Rachel Miller

Senior Legal Director

ZwillGen, PLLC

Ms. Miller leads ZwillGen’s commercial transactions group where she advises clients on all manner of commercial transactions, particularly as they relate to technology, data, and content. She counsels both vendors and customers and has a keen sense of how the market is evolving across various verticals and the intellectual property, privacy and commercial issues that are often at the center of these arrangements. Ms. Miller's clients include companies at every stage of growth, from start-ups that are gearing up for their first product launch, to mature companies advancing their technology stack or forming new partnerships to adapt to industry changes. She helps clients craft term sheets for business partnerships, assists with drafting and negotiating inbound and outbound licensing deals, and negotiates technology agreements of all sorts with an ever-increasing focus on AI-enabled tools. Before joining ZwillGen and after her time as a finance associate at big-law, Ms. Miller spent over 15 years at HBO and Warner Media where she led HBO’s technology legal team and later served as chief counsel for HBO Max.

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Dov Scherzer

Founder

Scherzer Law Group

Mr. Scherzer counsels clients on cutting-edge technology and privacy law matters, with a specific emphasis on artificial intelligence (AI) matters, and complex information technology, outsourcing, and intellectual property transactions. He has extensive and varied experience in these areas garnered over more than 20 years as a partner at large national and international firms and at a pioneering technology law boutique in New York City. From startups to Fortune 500 companies, Mr. Scherzer provides legal counsel at all stages of the corporate lifecycle.

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Credit Information

This 90-minute webinar is eligible in most states for 1.5 CLE credits.
Choose a State

Live Online

On Demand

Date + Time

event
Tuesday, August 4, 2026
schedule
1:00 PM ET/10:00 AM PT

I. Agentic AI, what makes it legally different

A. Autonomy, persistence, and multi-step execution

B. Risk from tool integration and permissions

C. How "confirm before acting" can fail

II. Lessons from OpenClaw and Moltbook

A. Operational failure: action without meaningful confirmation, containment challenges

B. Content streams creating attacker-influencable input channels

C. Durable governance requirement

III. Cybersecurity and data security considerations

A. Agent identity, isolation, privileges, credential management

B. Data classification for risk control

C. Incident response planning and best practices

IV. Misrepresentation, fraud, and downstream harms

A. Hallucination-driven misrepresentation and resulting losses

B. Fraud vectors: agent-mediated installs, credential capture, and impersonation

C. Litigation and evidentiary issues: logs, attribution, and "who approved what"

V. Governance and oversight expectations

A. Role definition: legal, privacy/security, procurement, and product ownership

B. Approval gates and escalation triggers

C. Board and executive reporting, documenting decisions

VI. Contracting and deployment guardrails

A. Vendor diligence regarding model/agent scope and versioning, allowed data use, audit rights

B. Treating "skills"/extensions as part of supply chain management

C. Allocating risk: provisioning security obligations, indemnity, limitations, and incident cooperation

VII. Practitioner takeaways

The panel will explore these and other key areas:

Why agentic AI has different legal exposure from "output-only” AI tools
How OpenClaw and Moltbook lead us to enterprise legal controls
Structuring governance, managing hallucination and misrepresentation, and understanding reliance risk in business workflows
Addressing fraud vectors and social engineering patterns in agent execution and installs
Allocating cybersecurity and data security risk in vendor, platform, and deployment contracts, including third-party “skills” providers