Identity security use cases

Start with the access problem you need to solve.

The right engagement begins with a business risk, control failure or delivery decision—not a predetermined platform. Fortentra connects identity, PAM, non-human identity and AI governance around the outcome that matters.

Human, privileged, machine and AI access moving through discovery, decision, control and evidence

Common starting points

Six situations where clearer ownership and stronger access decisions change the outcome.

Privileged access01

Too many people hold permanent administrative access.

Reduce standing privilege without slowing operational work or creating an emergency-access gap.

Typical signals
  • Shared or unmanaged administrator accounts
  • Broad access granted “just in case”
  • Weak vendor and emergency-access control
Target outcome
  • Role and risk-based access pathways
  • Approval-led, time-bound elevation
  • Evidence from request through removal
Explore PAM consultancy →
Programme recovery02

A PAM investment is not delivering the expected control.

Reset scope, operating ownership and onboarding priorities when tooling exists but adoption, coverage or confidence has stalled.

Typical signals
  • Low onboarding coverage or bypass routes
  • Unclear service ownership and support
  • A growing backlog with little risk reduction
Target outcome
  • Prioritised use-case and account roadmap
  • Clear operating model and decision rights
  • Measures tied to control effectiveness
Strengthen programme delivery →
Non-human identity03

No one can confidently explain every machine identity.

Discover service accounts, workloads, secrets, certificates and automation identities; connect each material identity to purpose and ownership.

Typical signals
  • Unknown owners and long-lived credentials
  • Inventories split across cloud and tooling
  • Access persists after applications change
Target outcome
  • Correlated, risk-ranked NHI inventory
  • Named owners and lifecycle decisions
  • Rotation, review and retirement controls
Explore NHI governance →
AI-agent governance04

AI agents can act, but their authority is unclear.

Define identity, ownership and access boundaries before agents reach sensitive tools, systems or information.

Typical signals
  • Agents reuse human or application credentials
  • Tool permissions exceed the intended task
  • No accountable owner for sensitive actions
Target outcome
  • Explicit agent identity and human ownership
  • Bounded credentials, tools and data access
  • Traceable intent, execution and oversight
Explore AI-agent governance →
Assurance05

Access evidence will not withstand scrutiny.

Turn fragmented approvals, reviews and technical records into a defensible view of how access is governed.

Typical signals
  • Repeated audit or customer findings
  • Manual evidence assembled at the deadline
  • Policy and technical reality do not align
Target outcome
  • Control-to-evidence mapping
  • Prioritised remediation with owners
  • Repeatable evidence collection and review
Prepare for assurance →
Change and transformation06

Cloud, acquisition or platform change is reshaping access.

Keep identity decisions coherent while organisations, applications and control boundaries are moving.

Typical signals
  • Directories, roles and accounts are duplicated
  • Ownership is lost during migration or integration
  • Legacy privilege follows workloads into cloud
Target outcome
  • Identity and privilege design principles
  • Risk-based migration and convergence plan
  • Clear exceptions, ownership and assurance
Assess the changing environment →

Choosing the first move

You do not need the whole answer before starting.

01
What access creates the greatest credible exposure?

Start with the systems, data and actions where misuse would matter most.

02
Which decision is currently difficult to make?

Look for missing ownership, poor evidence or controls that teams routinely work around.

03
What is the smallest intervention that changes risk?

Use a focused assessment or pilot to establish evidence before committing to a wider programme.

Your situation may cross several use cases

Bring us the identity risk that does not fit neatly into one box.

We will help frame the problem, identify the evidence required and define a practical first engagement.

Talk to a consultant →