Organized attackers aren’t breaking in, they’re becoming part of your extended workforce.
AI-powered impersonation, deepfakes, hiring fraud, and MFA fatigue attacks now target corporate employees, frontline workers, contractors, and partners—across onboarding, access, and helpdesk workflows. As organizations expand across hybrid work and third-party ecosystems, identity has become the most exploited, and least consistently verified, attack surface.
The problem? Most organizations still rely on implicit trust, assuming identities are legitimate after a single check, while attackers continuously impersonate, infiltrate, and escalate.
According to IDC, over 80% of breaches are identity-driven, and organizations that adopt
continuous, contextual identity verification achieve up to 43% reduction in fraud loss and 47% faster onboarding.
In Part 2 – Technical Deep Dive, we’ll move from strategy to implementation with a practitioner-focused walkthrough of the architectures, integrations, and controls that apply
continuous, contextual identity verification at high-risk moments. You’ll see how to operationalize Verified Trust across onboarding, access, and helpdesk flows—reducing time and costs for IT and security teams while eliminating unnecessary friction for users.
You’ll learn how to:
- Design and integrate explicit and continuous identity verification at critical workflow steps
- Stop hiring fraud, account takeover, and helpdesk social engineering before damage occurs
- Reduce operational burden across HR, security, IAM, and helpdesk teams
- Strengthen security across your entire identity ecosystem of your extended workforce
If you need the executive context and business case for this approach,
watch Part 1 – Executive & Program Overview first, then join this session to see how to put Verified Trust into practice across your extended workforce.