Governance

Identity & Security

Zero-trust ready

Identity that scaleswith AI adoption

Copilot, Azure AI, and cloud workloads inherit your Entra ID posture. OWCER helps you tighten MFA, conditional access, privileged access, and permission hygiene before you scale AI access to sensitive data.

Identity gaps are a leading cause of breaches and audit findings:

80%+
of breaches involve compromised credentials or weak access controls
MFA
is table stakes—conditional access and PIM complete the picture
GCC High
and regulated tenants need identity patterns auditors can follow
3 wks
typical OWCER engagement to first identity assessment readout

Sound familiar?

Access controls that don’t match how you work

🔑

“MFA is on, but admins still share passwords.”

Privileged access without PIM, break-glass discipline, or admin separation creates audit findings and real breach risk.

📂

“SharePoint is overshared and nobody knows it.”

External links, inherited permissions, and stale guest access undermine Copilot and DLP before you turn AI on.

🤖

“We want Copilot but IT won’t approve data access.”

AI projects stall when identity and data boundaries aren’t defined. We align AI governance with Entra ID controls.

🏛️

“CAC/PIV and federated identity are non-negotiable.”

Federal and defense environments need SAML, OIDC, and smart card patterns that commercial playbooks skip.

What we deliver

Identity & security services

🔍

Entra ID baseline review

MFA coverage, conditional access gaps, legacy auth, guest access, and sign-in risk policies documented with remediation priorities.

Privileged access (PIM)

Just-in-time admin, role separation, break-glass procedures, and logging your compliance team can export.

📁

Permission hygiene

SharePoint and M365 oversharing remediation aligned to sensitivity labels—prerequisite work for safe Copilot indexing.

AI-ready access

Scoped Copilot and agent permissions tied to approved data boundaries and use-case registers.

🔗

Federation & SSO

SAML, OIDC, and hybrid identity for multi-cloud and on-prem workloads. See hybrid cloud patterns.

🪪

Smart card / CAC / PIV

Patterns for environments that cannot afford access failures or password-only authentication.

Proof point

Case study: GCC High with audit-ready permissions

A defense consulting firm migrated to GCC High but permissions did not match how legal, delivery, and operations collaborated. OWCER redesigned SharePoint and Teams topology and corrected over- and under-sharing leadership had flagged.

“Permission and information-management model leadership could explain to clients and auditors without blocking delivery work.”

Outcome from GCCH platform activation engagement

Read the GCCH case study · Copilot adoption case study

How we engage

Identity work in four steps

1
Assess
Inventory identities, admin roles, conditional access, and high-risk sharing patterns.
2
Prioritize
Risk-ranked remediation aligned to AI rollout, audit deadlines, and breach exposure.
3
Implement
Configure Entra ID, PIM, labels, and guest access with change management built in.
4
Verify
Sign-in logs, access reviews, and evidence packs for auditors and AI governance boards.

Identity before AI scale

Secure the foundation first.

Identity work is a prerequisite for safe AI activation. Pair this engagement with our AI governance guidance or an AI Activation Assessment.

General Services Administration
General Services Administration
Headquarters Air Force
Headquarters Air Force
MUFG
MUFG
GAF
GAF
Department of the Treasury
Department of the Treasury
Headquarters Marine Corps
Headquarters Marine Corps
FEMA
FEMA
Air Force Legal Operations Agency
Air Force Legal Operations Agency
Staples
Staples
Find BAComps
Find BAComps
Emory University
Emory University
Dignari
Dignari
NANT Health
NANT Health
AARP
AARP
GetSlim Wellness
GetSlim Wellness

Sources: unstructured data share per industry analyst estimates; $14M breach cost per IBM Cost of a Data Breach Report; BI stall rate is an illustrative pattern from data-governance literature; OWCER timelines based on typical engagements.