Regulated industries are built on trust. When you handle a patient's health record or a customer's mortgage, the people you serve are trusting you at some of life's most important moments. In the age of AI, that trust now extends to your AI agents.
A free MuleSoft (from Salesforce) webinar, "Compliance Without Compromise: The Future of AI for Regulated Industries," tackles this directly. It runs Thursday, June 18, 2026, 12:00–1:00 PM EDT, online. Register for the webinar here.
Quick Answer
The webinar shows how regulated organizations can adopt AI agents without loosening governance or compliance. MuleSoft's product and solutions leaders walk through how integration, data governance, and policy controls let you deploy trustworthy AI across the agentic enterprise. It is most useful for compliance, IT, and data leaders in healthcare, financial services, insurance, and other regulated sectors.
TL;DR
- What it is: A free, one-hour MuleSoft webinar on deploying AI agents in regulated industries with compliance built in.
- When: Thursday, June 18, 2026, 12:00–1:00 PM EDT, virtual.
- Who should attend: Compliance, risk, IT, data, and operations leaders evaluating AI in regulated environments.
- Why it matters: AI agents are only as trustworthy as the data and governance behind them.
- How Vantage Point helps: We help regulated organizations build the data, integration, and governance foundation that makes compliant AI possible.
What Is the "Compliance Without Compromise" Webinar?
It is a free, one-hour online session hosted by MuleSoft from Salesforce on June 18, 2026. The theme is straightforward: regulated organizations should not have to choose between adopting AI and meeting their compliance obligations.
The session focuses on how governance and compliance sit at the core of an agentic enterprise — the operating model where AI agents take action across your systems, not just answer questions.
Speakers:
- Alexa Cushman — Industry Product Marketing Director, MuleSoft
- Abraham Kurian — Principal Client Solutions Engineer, MuleSoft
You can reserve your spot on the registration page.
Why AI Compliance Matters in 2026
Regulated industries face a specific tension. Leaders want the productivity and service gains AI agents promise, but they answer to regulators, auditors, and customers who expect strict control over sensitive data.
The risk is not the AI model itself. It is what the agent can access, what it does with that data, and whether every action is governed, logged, and explainable. In 2026, deploying AI without that foundation is a compliance and reputational liability, not an advantage.
That is why integration and governance — not just the AI tool — decide whether regulated AI succeeds.
What the Webinar Covers
Based on the session description, expect MuleSoft to address how trust is engineered into the agentic enterprise across these themes.
| Theme | What It Addresses |
|---|---|
| Governance at the core | Building policy, access, and audit controls into AI workflows from the start |
| Compliant data access | Letting agents use sensitive data through governed APIs rather than raw, ungoverned access |
| Integration foundation | Connecting AI to systems of record so agents act on trusted, current data |
| Trust across the enterprise | Extending existing trust standards to autonomous agents |
How to Get the Most From the Session
A short checklist before June 18:
- Map your sensitive data. Know where regulated data lives before you let an agent touch it.
- Inventory your integrations. Identify which systems an AI agent would need to reach and how those connections are governed today.
- Review your AI policy. Bring your current acceptable-use and risk frameworks so you can pressure-test them against what you hear.
- Bring the right people. Compliance, IT, data, and a business owner together make follow-up decisions faster.
What Regulated Organizations Should Do Next
The webinar makes the case; execution is where most teams stall. Compliant AI depends on three things working together: clean, integrated data; governed access to that data; and policy controls that are enforced, not just documented.
If your team is evaluating how this applies to Salesforce, MuleSoft, integrations, or AI governance, Vantage Point can help assess the right next step and build a practical implementation plan.
How Vantage Point Helps
Vantage Point helps organizations evaluate, implement, and optimize Salesforce and HubSpot based on their operating model, data needs, adoption goals, and growth strategy. For regulated AI specifically, that means:
- Building the system integration and data migration foundation, including MuleSoft, so agents act on trusted data.
- Establishing compliance and security controls for governed, auditable AI.
- Designing AI-driven personalization and analytics that fit your risk profile.
- Advising on platform fit through Salesforce implementation and advisory.
Our founder and CEO is a former COO in financial services, so we approach regulated AI from the operator's seat, not just the technology's.
FAQ
When is the "Compliance Without Compromise" webinar?
It takes place Thursday, June 18, 2026, from 12:00 to 1:00 PM EDT, online. You can register on the official Salesforce invite page.
Who is hosting the webinar?
MuleSoft, from Salesforce, is hosting. Speakers are Alexa Cushman, Industry Product Marketing Director, and Abraham Kurian, Principal Client Solutions Engineer, both at MuleSoft.
Who should attend?
Compliance, risk, IT, data, and operations leaders in regulated sectors such as healthcare, financial services, insurance, and banking who are evaluating AI agents. The content suits both strategic decision-makers and the technical owners who will implement governance.
What does "compliance without compromise" actually mean?
It means deploying AI agents that deliver real productivity while still meeting regulatory, audit, and data-protection requirements. The core idea is that governance and integration are built into AI workflows rather than added afterward.
Why is data integration central to AI compliance?
AI agents act on the data they can reach, so ungoverned or fragmented data creates compliance and accuracy risk. Governed integration through tools like MuleSoft lets agents use sensitive data safely, with access controls and audit trails. Vantage Point builds this foundation for regulated organizations.
How is this different from general AI tools?
General AI tools focus on the model and the interface. Regulated AI requires governed data access, enforced policy, and auditability across every system an agent touches, which is an integration and governance challenge as much as an AI one.
How can Vantage Point help after the webinar?
Vantage Point helps regulated organizations build the data, integration, and governance foundation that compliant AI requires, then implement it on Salesforce and MuleSoft. We can assess your current readiness and map a practical, compliant path to AI adoption.
