AI-Assisted Identity Operations

Credenti Identity Graph

The Credenti Identity Graph powers AI-assisted identity operations by connecting workforce authentication signals across users, devices, applications, and operational environments. AI models continuously learn how identity behaves across shared devices, applications, and workforce environments—enabling real-time detection, adaptive policies, and automated identity operations. It also provides deep visibility into passwordless shared workstation login activity, multiple authentication factors including badge-based authentication, biometrics, PIN, QR-based authentication, and identity behavior across shared-device environments.

Organizations deploying passwordless shared workstation login often struggle to understand how identities move across devices and applications. The Credenti Identity Graph provides authentication analytics and identity intelligence specifically designed for shared workstation environments, multi-factor and passwordless authentication workflows including biometrics, PIN, QR, and badge-based access.

Users
Devices
Applications
Operational Context

Connected identity signals form the foundation for AI-driven identity intelligence, including badge authentication analytics and shared workstation login security insights.

Identity Signals Become Intelligence

Credenti turns distributed authentication and access events into a connected model for AI-assisted identity operations.

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User Identity

Badge ID, biometrics, authentication methods, entitlements, user context

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Access Activity

Badge tap, workstation unlock, rugged device login, browser app launch, legacy app launch

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Operational Context

Time, location, shift timing, session behavior, verification, recovery, online or offline mode

Illustration of Credenti’s Session Management for shared workstations. One monitor shows a user session transitioning to ‘Locking’ with a timeout clock, while another displays a ‘New Login’ initiated by a badge tap. Above, an ‘Active User Sessions’ panel tracks session activity. The visual highlights secure session handoff, automatic timeouts, and identity-bound logins that protect shared environments and prevent session overlap.

Why the Identity Graph Matters

Traditional identity platforms largely see browser logins and SaaS access. Credenti extends visibility into multi-factor authentication activity including biometrics, badge, PIN, and QR-based authentication across shared workstation and operational environments. Credenti sees how workforce identity actually operates across shared devices, frontline environments, legacy systems, virtual desktops, and disconnected networks. That richer signal set becomes the foundation for AI-driven identity risk detection, workforce authentication analytics, and operational identity intelligence.

Users

Employees, contractors, nurses, operators, warehouse workers, call center agents, and shift-based staff.

Devices

Windows, macOS, Zebra, Honeywell, shared kiosks, rugged devices, virtual sessions, and terminals.

Signals

Badge taps, face unlocks, workstation logins, legacy app launches, VDI access, recovery, and verification events.

Outcomes

Identity risk detection, operational insight, policy intelligence, authentication analytics, and AI-assisted automation.

Identity Intelligence Foundation

What Is the Credenti Identity Graph?

The Credenti Identity Graph is a connected model of workforce identity activity. In computer science, a graph represents relationships between connected entities. The Credenti Identity Graph links users, devices, applications, authentication methods, access events, and workflow context so Credenti can analyze how identity is used across operational environments.

User-Centered Identity Context

The graph starts with the person and the identity methods attached to that user, including biometrics, badge-based access, PIN, QR authentication, passwordless methods, and fallback methods, and access rights across workforce systems.

Cross-Environment Device Visibility

Credenti observes identity activity across workstations, shared devices, rugged hardware, virtual environments, and kiosks, creating visibility where traditional IAM tools often have major blind spots.

Application and Workflow Awareness

The graph also connects browser apps, legacy applications, Citrix, Omnissa, RDS, identity verification, recovery workflows, and operational context such as shift timing or facility location.

Unified Model

How the Identity Graph Connects Signals

Instead of treating authentication events as isolated transactions, Credenti connects them into a unified graph that reflects how real workforce access happens across devices, applications, and environments.

AI Strategy

How Credenti Uses the Identity Graph for AI-Assisted Identity Operations

Credenti is building an AI-driven workforce identity platform. By continuously learning from workforce authentication patterns across shared devices, badge access, workstation authentication, legacy systems, and identity workflows, Credenti enables real-time identity risk detection, adaptive policy enforcement, automated identity operations, and actionable identity insights.

Identity Risk Detection

AI continuously learns normal identity behavior across users, devices, and shifts—detecting anomalies such as impossible identity movement across locations, unusual workstation switching, repeated failed authentication sequences, suspicious recovery patterns, or abnormal device usage in real time.

Operational Identity Intelligence

AI analyzes identity activity to surface which devices create the most login friction, which applications still drive password dependency, and which environments would benefit from stronger passwordless controls. It also identifies patterns to guide expansion of passwordless authentication across the workforce.

Policy Optimization

AI uses learned identity patterns to recommend and automate where biometrics, badge tap, PIN, QR authentication, offline authentication, or shared-device policies should be expanded—improving both security and workforce productivity.

Identity Intelligence Foundation

Where the Credenti Identity Graph Delivers Value

The Credenti Identity Graph delivers value across any operational environment where workers use shared devices, access critical systems, or authenticate frequently during their workday. Rather than being limited to specific industries, the Identity Graph helps organizations understand identity behavior across frontline, field, and operational workforces.

Shared Workforce Environments

In environments where multiple employees use the same workstation or device, the Identity Graph connects multi-factor authentication events including badge taps, biometrics, PIN, QR authentication, and application launches to provide visibility into how identities move across shared systems.

Frontline and Field Operations

Organizations with distributed or shift-based workforces can analyze authentication behavior across rugged devices, workstations, kiosks, and operational systems to improve accountability, security, and operational efficiency.

Legacy and Virtual Application Environments

The Identity Graph connects authentication activity across browser apps, legacy applications, Citrix, Omnissa, and RDS environments, helping organizations understand how identities interact with both modern and legacy systems.

Differentiated Signal Set

What Makes Credenti’s Identity Signal Set Different

Traditional identity tools often focus on browser authentication and SaaS access. Credenti adds identity signals that are critical in workforce and shared-device environments.

Signals Traditional IAM Commonly Sees

Browser Logins
SaaS Authentication
Laptop Access
Standard MFA Events

Signals Credenti Adds

Multi-Factor Authentication (Badge, Biometrics, PIN, QR)
Legacy App Launches
Identity Verification Events
Recovery Workflows
Offline Authentication
Shift and Location Context
Rugged Device Authentication
Shared Workstation Access

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