Evolving identity and fraud models beyond human-only assumptions
- How AI has industrialised existing security problems resulting in a decreased ability to detect threats
- Why identity and fraud must come together to prove whether an agent was delegated, bounded, and acting as allowed
- What it means to treat agents as ‘first-class identities’ and how this can help form a trustworthy model for agentic commerce built on four key principles: discover, bound, enforce, audit
It is no longer safe to assume a human is at the keyboard. Legitimate customer agents, automated fraudsters, and delegated workflows are increasingly touching your customer journies.
Security can no longer rely on simply defending the front door. We must evaluate what is acting, on whose behalf, and with what level of authority at the exact moment of action.
In our next episode of teissTalk with Thom Langford, we’ll explore:
- How AI has industrialised existing security problems resulting in a decreased ability to detect threats
- Why identity and fraud must come together to prove whether an agent was delegated, bounded, and acting as allowed
- What it means to treat agents as ‘first-class identities’ and how this can help form a trustworthy model for agentic commerce built on four key principles: discover, bound, enforce, audit
Join us as we discuss moving beyond static, human-centric authentication models and exploring how leading risk teams are re-architecting their security.
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Featured SpeakersView All

Thom Langford

Alex Laurie

Raza Sadiq

Tiago Rosado
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Featured Speakers

Thom Langford

Alex Laurie

Raza Sadiq
