Full-Spectrum Identity Threat Detection and Response

COMPANY OVERVIEW

WideField is an identity security company founded on a single conviction: that the root causes of identity risk — not just its symptoms — demand a fundamentally different approach. The company was built by a team that witnessed firsthand how difficult it was for security teams to detect, investigate, and respond to identity-led attacks, even after significant investments in traditional identity platforms. Time and again, breaches traced back to compromised credentials, abused service accounts, or hijacked sessions that existing tools simply failed to surface. WideField was created to close that gap.

The platform covers the full identity attack surface — human accounts, non-human identities such as service accounts and API keys, and the emerging category of AI agent identities. Rather than focusing exclusively on pre-authentication controls, WideField extends visibility into post-authentication behavior, tracking what identities do after they log in, how sessions evolve, and where permissions are being abused. This approach captures the lateral movement, privilege escalation, and session hijacking patterns that define modern identity-led breaches.

CORE FOCUS

WideField's platform is organized around three interconnected disciplines: Identity Threat Detection and Response (ITDR), Identity Security Posture Management (ISPM), and Non-Human Identity (NHI) security. Together these capabilities give security teams a unified view of identity risk across SaaS applications, cloud infrastructure, and on-premises environments — spanning both the federated and non-federated identity landscape.

A key differentiator is WideField's post-authentication session monitoring engine. Traditional identity tools focus heavily on the authentication event itself — verifying that the right person logged in with the right credentials. WideField extends that lens to everything that happens after authentication, building behavioral baselines per identity and surfacing anomalies such as Tor and VPN access, parallel sessions from geographically improbable locations, and high-frequency login patterns that indicate credential stuffing or session replay attacks. This behavioral layer enables SOC teams to investigate identity incidents with a full 360-degree view of the user's activity timeline, active sessions, and identity lineage.

As AI agents become first-class participants in enterprise workflows, WideField has extended its platform to track and monitor AI identities with the same rigor applied to human accounts. The platform provides AI application discovery, shadow AI detection, and visibility into the permissions granted to tools like ChatGPT and Microsoft Copilot — giving organizations a way to govern AI access before it becomes an uncontrolled attack surface.

PRODUCTS & TOOLS

Identity Visibility & Posture Management – Comprehensive discovery and risk scoring across the full identity landscape.

• Indexes all identities across SaaS, cloud, and on-premises environments from a single platform
• Discovers both federated and non-federated identities including orphaned and dormant accounts
• Surfaces credential exposure risks including long-lived credentials and weak MFA configurations
• Tracks admin accounts lacking MFA enforcement and prioritizes remediation by risk score
• Continuous posture scoring provides security teams with a real-time view of identity risk health

Non-Human Identity (NHI) Security – Full lifecycle visibility into service accounts, API keys, and machine identities.

• Automatically classifies human versus non-human identities across cloud and SaaS environments
• Discovers service accounts, automation credentials, and API tokens regardless of originating system
• Infers ownership for orphaned accounts and triggers attestation workflows to validate or revoke access
• Post-authentication monitoring tracks what NHIs do after authentication — not just whether they authenticated
• Surfaces lifecycle risks such as over-privileged service accounts and credentials that were never rotated

Authentication Monitoring & Behavioral Analytics – Session-level detection for post-authentication threats.

• Tracks authentication sessions in real time, flagging MFA bypass attempts and policy escapes
• Builds per-identity behavioral baselines to detect anomalies including unusual session duration and parallel logins
• Detects Tor and VPN access, location cluster anomalies, and high-frequency login patterns
• Provides SOC teams with a user 360 view: active sessions, authentication timeline, and identity lineage in one interface
• Enables rapid investigation with contextual activity analysis that reduces mean-time-to-understand for identity incidents

AI Identity Access Monitoring – Governance and visibility for AI agent identities in the enterprise.

• Discovers AI applications and tools accessing enterprise data across the organization
• Detects shadow AI usage — AI tools operating outside of approved procurement and security review
• Tracks permissions granted to AI integrations including ChatGPT plugins and Microsoft Copilot connectors
• Monitors AI identity access patterns to surface over-privileged integrations and unusual data access
• Enables security teams to safely adopt AI by maintaining continuous visibility into agentic identity risks

Connected Applications & Permission Risk – Third-party app discovery and SaaS supply chain risk management.

• Discovers all third-party applications connected to corporate identity providers and SaaS platforms
• Maps permissions granted to each connected app and flags over-privileged or inactive integrations
• Monitors app usage to distinguish active integrations from dormant connections that expand the attack surface
• Provides SaaS supply chain risk visibility by identifying OAuth apps with excessive permission scopes