Secure Enterprise AI with Private GPT (No Data Risk)

Date:

27th March 2026

Time:

3:00 PM – 4:00 PM IST

Location:

Duration:

60 Minutes

What You Will Learn In This Webinar

How to implement Private GPT for enterprises securely
The biggest AI data security risks and how to avoid them
Proven frameworks for AI governance and compliance
How leading companies scale enterprise AI without exposing sensitive data

Distributor

Days

Hours

Minutes

Sec

Registration Form

Limited seats available

Who Should Attend
This Enterprise AI Webinar

CIOs & CTOs driving enterprise AI strategy

Heads of IT managing data security and compliance

Engineering leaders building AI-powered applications

CISOs responsible for AI risk management

Data leaders working on AI/ML initiatives

Enterprise architects designing cloud + AI infrastructure

Webinar Agenda – Secure AI Implementation

The current state of enterprise AI adoption

Hidden risks: Where your AI data is leaking

What is Private GPT and how it works

Secure architecture for enterprise AI implementation

Real-world use cases of secure AI deployment

What You Will Learn

AI Risk Assessment Framework

Evaluate where your current AI usage exposes data risk

Private GPT Implementation Blueprint

Step-by-step guide to deploying secure enterprise AI systems

Enterprise AI Governance Model

Policies for AI compliance, control, and security

Use Case Clarity

Identify where AI delivers value without security risks

Actionable Roadmap

Move from AI experimentation to secure production deployment

Your Expert Guides

Manish Kungwani

CTO, Bloom Consulting Services

Manish Kungwani is the Director at Bloom Consulting Services with 13+ years of experience in Cloud and DevOps engineering. He has led 300+ successful projects across 20+ industries, helping businesses scale faster on AWS, Microsoft Azure, and Google Cloud.

Arnav Dutta

Azure AI Architect

Arnav is our Azure AI Architect with 10+ years of experience in cloud, AI, and security. Leads AI and LLM-Ops initiatives, specializing in secure enterprise AI, Kubernetes, and DevSecOps, helping organizations build responsible and scalable AI ecosystems.

Trusted by Global
Businesses

"Manish and his team at Bloom helped us automate CI/CD on AWS, which significantly improved our release speed and deployment reliability. Their observability setup also gave us better visibility into system performance and costs."

"Bloom strengthened our AWS DevOps foundation with Kubernetes and SRE best practices. The result was improved system stability, scalability, and smoother operations as we grew."

"Manish and his team implemented secure Azure DevOps pipelines aligned with our compliance standards. Their DevSecOps approach helped standardize deployments across teams while maintaining strong security controls."

"Bloom improved our Azure cloud visibility through strong monitoring and cost optimization. Their observability framework helped us better track performance and resource usage."

"Bloom supported Azure DevOps automation with a strong focus on reliability and security. We saw more consistent deployments and improved operational stability over time."

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Frequently Asked Questions

Q.1 What license is required to use Microsoft Copilot and Purview with Copilot?

Microsoft Copilot (M365 Copilot) is not included by default in Business Basic, Business Premium, E3, or E5.
It requires an add-on license:
- Microsoft 365 Copilot add-on (assigned per user)
Microsoft Purview capabilities used with Copilot depend on your base license:
- E3 / Business Premium → Core Purview features (e.g., basic Data Loss Prevention, sensitivity labels)
- E5 → Advanced Purview capabilities (e.g., Insider Risk, Advanced eDiscovery, Communication Compliance)

In practice:

Secure Copilot usage = Copilot add-on + Purview (E3/E5 depending on governance depth required)

Q.2 Which licenses support Microsoft Purview and the AI dashboard (Copilot / AI insights)?

Microsoft Purview availability

Business Basic → Very limited / minimal compliance capabilities
Business Premium → Includes core Purview features (basic DLP, labeling)
E3 → Includes standard Purview compliance + governance features
E5 → Includes full Purview suite (advanced risk, audit, compliance analytics)

AI / Copilot dashboards (usage & insights)

Available when:
- You have Microsoft 365 Copilot add-on
- And appropriate Microsoft 365 admin / reports access
Advanced visibility (e.g., detailed audit, risk correlation with AI usage):
- Requires E5 (Purview + Audit Premium)

Summary:

Basic visibility → Copilot add-on + E3
Advanced AI governance & insights → Copilot add-on + E5

Q.3 Can Azure AI Foundry be used locally (on-premises)?

No, Azure AI Foundry is a cloud-based platform built on Microsoft Azure.
It is designed for:
- Model orchestration
- AI application development
- Secure enterprise AI governance
However:
- You can integrate with on-prem systems (via APIs, hybrid networking, data pipelines)
- You can use Azure Arc / hybrid patterns, but Foundry itself does not run locally
In short:
- Execution = Azure cloud
- Integration = hybrid possible

Q.4 Can Purview detect usage of third-party AI tools like ChatGPT or Claude?

Yes — partially, depending on configuration and licensing.

What Purview can detect:

Access to third-party AI tools (e.g., ChatGPT, Claude) via:
- Microsoft Defender for Cloud Apps (MCAS)
- Web traffic and session monitoring
- Endpoint signals (via Defender for Endpoint)
Ability to:
- Discover usage (Shadow IT)
- Monitor data exfiltration risks
- Apply session controls (block, restrict uploads)

Licensing required:

E5 license (or equivalent add-ons):
- Microsoft Defender for Cloud Apps
- Microsoft Defender for Endpoint
- Advanced Purview integration
E3 / Business Premium:
- Do not provide full visibility into third-party AI usage