Agent 365 Implementation Partner — Direct CSP since 2014

Your AI Agents Are Running.
Do You Know What They're Doing?

By February 2026, 80% of Fortune 500 companies were running active AI agents — most without a governance framework. Agent sprawl, data exposure, and uncontrolled cost are the inevitable result.

Seepath implements Microsoft's Agent 365 control plane and Purview AI Hub to give you visibility and policy control over every agent in your environment — regardless of whether it runs on Copilot, Claude, ChatGPT, or any other model.

80%
No AI governance
All
AI models governed
GA
Agent 365 — May 2026

Source: Futurum Research, February 2026

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Microsoft AI Governance Stack

All GA as of May 2026

Agent 365

Control plane — discover, govern & manage all agents

Purview AI Hub (DSPM)

Observability, data risk & insider risk management

Entra ID

Agent identity, access boundaries & permissions

Defender — AI Security Posture

Behavioral monitoring & AI attack surface management

Windows 365 for Agents

Persistent Intune-managed Cloud PC per agent
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No cost · No commitment · 45-minute session

The Questions Every CIO Should Be Able to Answer — But Can't

AI agents behave like users but scale like applications. The governance gap opened the moment your first agent went live. Here is where it shows up.

1
How many AI agents are running right now?

Most organizations cannot answer this. Agents are created in Copilot Studio, deployed from Azure AI Foundry, embedded in Power Automate flows, and provisioned by individual teams — with no central registry, no ownership record, and no decommission process. This is agent sprawl: the AI equivalent of ungoverned VM proliferation.

2
What sensitive data can those agents access?

Agents inherit the permissions of the user or service account that created them — often broader than necessary. Without sensitivity label enforcement and Purview data classification, an agent built to summarize meeting notes may have unrestricted access to HR records, financial documents, or PHI. That exposure is invisible until an incident.

3
What is AI actually costing you?

AI workloads do not follow linear cost curves. Token consumption, agent execution cycles, and Azure AI inference can spike sharply based on workflow volume or misconfigured agent policies. Most finance teams receive a monthly Azure bill with no line-item attribution to specific agents. By the time the anomaly is visible, the cost is already incurred.

4
Who is accountable when an agent acts outside policy?

Traditional security models assign accountability to users. Agents operate autonomously — triggering actions, sending communications, updating records — without a human in the loop. Without agent identity management, audit trails, and defined ownership, accountability collapses. In regulated industries, that gap is a compliance finding, not just an operational risk.

This is the Azure Governance moment for AI — and most organizations are two years behind.

The Technology

Microsoft's AI Governance Stack — Now Fully GA

Microsoft shipped a complete governance stack in the first half of 2026. These five products work together as an integrated control layer — and Seepath implements them as a unified program, not as separate projects.

Product Layer What It Governs GA Since
Agent 365 Control plane Discover, govern & manage all agents — Copilot, Claude, ChatGPT, third-party. Agent identity, access scope, lifecycle, policy enforcement. May 2026
Purview AI Hub (DSPM) Observability Unified visibility into agent activity. Continuous data risk posture assessment, sensitive data exposure alerts, insider risk management, compliance audit logs. May 2026
Entra ID Identity Agent identity, scoped permissions, Conditional Access policies, service principal governance. Agents treated as first-class identities. GA
Defender — AI Security Posture Security AI-specific attack surface management, behavioral anomaly detection, runtime threat monitoring across agents and AI workloads. GA
Windows 365 for Agents Compute Persistent Cloud PC per agent — Intune-managed, full Purview audit trail, provisioned and decommissioned through M365 Admin Center workflows. May 2026

Microsoft's AI governance stack is designed to work together as a unified control layer. Agent 365 is the control plane, Purview AI Hub provides observability, Entra ID manages identity and access, Defender monitors security posture, and Windows 365 provides a managed compute environment for agents.

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What Seepath Implements

Four Governance Workstreams. One Integrated Program.

Seepath implements the full Microsoft AI governance stack as a structured engagement — not five separate product deployments.

Agent Discovery & Inventory
Workstream 1

You cannot govern what you cannot see. We start by mapping your full agent estate — Copilot Studio agents, Azure AI Foundry deployments, Power Automate AI actions, and third-party integrations.

  • Agent 365 tenant-wide discovery scan
  • Agent inventory: owner, permissions, data access, activity
  • Orphaned and unowned agent identification
  • Risk classification by data exposure level
Governance Framework & Policy
Workstream 2

Discovery without policy is just a report. We implement the governance controls that enforce what agents can and cannot do — and who approves the exceptions.

  • Responsible AI policy framework
  • Agent lifecycle: approval, publication, decommission process
  • Entra scoped permissions & Conditional Access for agents
  • AI governance committee structure & RACI
Purview AI Observability
Workstream 3

Governance without visibility is aspiration, not control. Purview AI Hub gives you a continuous view of agent activity, data risk, and compliance posture — not a monthly snapshot.

  • Purview AI Hub (DSPM) deployment & configuration
  • Sensitivity labels & DLP policy enforcement
  • Insider risk management configuration
  • Compliance audit log setup & retention policies
  • AI cost attribution via Azure Monitor workbooks
Security & Regulatory Alignment
Workstream 4

AI agents are a new attack surface. Traditional endpoint security was not designed for autonomous systems. We layer in AI-specific security posture management and map controls to your regulatory requirements.

  • Defender AI Security Posture Management
  • Agent behavioral monitoring & anomaly alerting
  • EU AI Act risk classification & documentation
  • HIPAA & SOC 2 control mapping for AI workloads
Services & Pricing

Three Ways to Engage

Start with a health check, implement the full framework, or let Seepath run governance on an ongoing basis.

AI Governance Health Check

Understand where you stand before you commit

$2,995 fixed fee

1-week engagement

  • Full agent estate discovery & inventory
  • Data access & permission risk assessment
  • Compliance gap analysis (HIPAA, SOC 2, EU AI Act)
  • Current governance control review
  • Executive risk report & governance roadmap
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Most Common
AI Governance Foundation

Full implementation of the Microsoft governance stack

$9,995 fixed fee

2-week engagement

Includes Health Check, plus full implementation:

  • Agent 365 control plane deployment & configuration
  • Purview AI Hub (DSPM) setup & sensitivity labels
  • Entra agent identity & Conditional Access policies
  • Defender AI Security Posture configuration
  • Responsible AI policy & agent lifecycle process
  • AI governance committee setup & RACI
  • Regulatory control mapping (HIPAA / SOC 2 / EU AI Act)
  • 30-day hypercare & knowledge transfer
Start Implementation
Ongoing Governance

Governance that runs every month — not just at launch

From $2,995/month

Included in Managed AI Operations plans

  • Monthly governance reviews & policy updates
  • Continuous Purview observability monitoring
  • New agent approval & lifecycle management
  • AI cost attribution reporting
  • Executive compliance scorecard
  • Regulatory change monitoring
See Managed AI Operations

Governance Built for Regulated Industries

The compliance stakes for AI governance are highest in financial services and healthcare — and that is precisely where Seepath focuses.

Financial Services

SEC AI disclosure guidance, FINRA recordkeeping requirements, and SOC 2 audit expectations are driving formal AI governance programs across investment management, banking, and insurance. Agent 365 provides the audit trail and access controls those frameworks require.

  • SEC & FINRA AI disclosure documentation
  • SOC 2 AI control mapping & audit evidence
  • Trading & research agent access controls
  • Client data DLP enforcement across AI workloads
Healthcare

HIPAA requires that any AI system accessing PHI operate under a BAA with documented access controls. HHS OCR AI guidance and the EU AI Act's high-risk classification for clinical AI create additional requirements. Governance is not optional for healthcare AI — it is a condition of deployment.

  • HIPAA-aligned agent governance & BAA review
  • PHI access controls via Purview sensitivity labels
  • EU AI Act high-risk classification for clinical AI
  • HHS OCR AI guidance compliance documentation

Further Reading

Seepath's advisory posts on Agent 365 and AI governance in practice.

Advisory · May 18, 2026
Agent 365: Microsoft's Control Plane for Enterprise AI Governance

The GA release of Agent 365, M365 E7 launch, and Windows 365 for Agents — what each means for organizations governing AI at scale.

Read advisory
Advisory · June 24, 2026
Microsoft 365 + Azure AI Platform Convergence 2026

How M365 pricing changes, Azure's shift to AI execution layer, and agent production deployment converge into a single governance imperative.

Read advisory

Frequently Asked Questions

AI agent governance is the set of controls, policies, and monitoring systems that determine what AI agents can do, what data they can access, how much they cost, and who is accountable for their actions. Without governance, agents behave like unmanaged users — operating with broad access, generating unpredictable costs, and creating compliance exposure that is invisible until an incident.

Agent 365 is Microsoft's unified control plane for discovering, governing, and securing AI agents — generally available since May 1, 2026. It treats agents as first-class operational entities with identity, permissions, lifecycle management, and policy enforcement. Critically, Agent 365 governs all models — Microsoft Copilot, Claude, ChatGPT, and third-party agents — not just Microsoft's own AI.

AI governance applies to any organization running AI agents or Copilot — regardless of size. Agent sprawl, data leakage, and uncontrolled AI costs affect SMBs as severely as enterprises. The difference is that SMBs often have less internal capacity to implement controls, making a partner-led governance implementation especially valuable.

No. Agent 365 governs agents across Microsoft Copilot, Claude, ChatGPT, and other third-party models. Most organizations run a mix of AI tools simultaneously — Agent 365 provides consistent policy enforcement and visibility across that entire estate, not just the Microsoft-native components.

Microsoft Purview AI Hub (Data Security Posture Management for AI) provides unified visibility into all AI agent activity across your environment. It continuously assesses agent data risk posture, detects sensitive data exposure early, manages insider risk with privacy controls, and produces audit logs for compliance reporting. It became generally available in May 2026.

The EU AI Act (enforcement began June 2025) classifies certain AI use cases as high-risk, requiring documented governance frameworks, risk assessments, and audit trails. HIPAA requires that any AI system accessing PHI be governed under a Business Associate Agreement with documented data protection controls. Seepath's governance framework addresses both regulatory regimes as part of the implementation.

Seepath's AI Governance Health Check is a $2,995 fixed-fee 1-week engagement that audits your current AI agent estate: how many agents exist, what data they access, what governance controls are in place, and where compliance gaps exist. It delivers an executive risk report and a prioritized governance roadmap — and feeds directly into the AI Governance Foundation implementation if you choose to proceed.

If You Don't Know Your Agent Estate, You're Already Operating Blind.

Start with a free AI Governance Review — 45 minutes with a Seepath expert to map your current agent activity, identify the highest-risk gaps, and outline a 90-day governance roadmap.

Book Free AI Governance Review Managed AI Operations Agent 365 Advisory

Serving financial services and healthcare organizations across New Jersey, New York Metro, and beyond.