Harnessing AI to strengthen identity and intent assurance
Generative AI has amplified impersonation risks while exposing a deeper challenge: how organisations can confidently establish who they are engaging with, the authority that identity carries, and whether intent is trustworthy at critical moments. As deepfake voice and video scams grow more convincing, default assumptions of authenticity no longer hold. Addressing this demands a shift from point-in-time checks to identity assurance embedded by design. By adopting a “verify with intent” mindset and placing identity-aware controls at key decision points, organisations can reduce risk while sustaining speed and confidence.
The shifting threat landscape
Organised criminal groups now routinely use deepfakes across email, voice, and video to exploit gaps in verification. What began as isolated business email compromise has evolved into blended operations that mix AI-generated personas with human operators responding in real time. These attacks succeed not by breaching systems, but by relying on assumed identity rather than continuous assurance. Finance teams, procurement staff, executive assistants, and vendor contacts are frequently targeted, especially during quarter-end, mergers and acquisitions, or periods of change. Common methods include urgent payment requests, fraudulent vendor bank updates, executive “fire drills,” and surprise video calls designed to bypass approval and verification controls.
The impact on business when identity trust breaks down
These attacks sidestep technical safeguards by exploiting trust in familiar voices, faces, and communication styles. Employees act believing they are interacting with authorised individuals, only to discover identities were convincingly impersonated. The risk now concentrates in brief, high-stakes moments, authorising payments, sharing sensitive data, or overriding controls, where adversaries manipulate perceived authority and urgency. The challenge has shifted from basic fraud prevention to managing identity under pressure.
From detection to identity assurance
Deepfake detection is improving yet remains insufficient on its own for high-stakes decisions. Visual or audio artefact analysis should be treated as supplementary, not primary. Organisations must assure identity, authority, and intent at the moment of action, introducing deliberate, scalable controls that add the right friction at the right time without disrupting operations.
How can we help?
We assist organisations in moving beyond reactive detection towards identity-led assurance frameworks that are robust against AI-driven impersonation.
Stronger identity, faster decisions
Organisations adopting independent verification for vendor changes and executive call-back protocols have prevented fraudulent payments and reduced near misses. Teams report higher confidence and faster decisions enabled by transparent, identity-driven assurance that remains robust even against convincing impersonation.
Harnessing AI to strengthen identity and intent assurance
Generative AI has amplified impersonation risks while exposing a deeper challenge: how organisations can confidently establish who they are engaging with, the authority that identity carries, and whether intent is trustworthy at critical moments. As deepfake voice and video scams grow more convincing, default assumptions of authenticity no longer hold. Addressing this demands a shift from point-in-time checks to identity assurance embedded by design. By adopting a “verify with intent” mindset and placing identity-aware controls at key decision points, organisations can reduce risk while sustaining speed and confidence.
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