NEW TECH Q&A: Start-up Indentient debuts reimagined AI copilots trained on experts’ insights

Cybersecurity has always been a moving target. But AI has shifted the center of gravity.

Related: The workflow cadences of Gen AI

Over just the past two years, we’ve watched decision cycles compress, incentive structures change beneath us, and the mechanisms for validating expertise start to break down in real time.

Threat actors are already using AI to scale speed and improvisation. Defensive teams are retooling under pressure. Meanwhile, the advisory layer — analysts, consultants, research channels — has struggled to keep up with risks evolving faster than their traditional frameworks allow.

At Last Watchdog, we’ve noted how even well-established decision models begin to falter once AI-driven ambiguity and tempo are introduced. That’s why I took interest in a new approach from Seattle-based Identient. Led by founder and CEO, Steve Tout, the company is launching what it calls the first marketplace for “verified digital twins”: AI counterparts trained only on authenticated expert material and constrained by provenance and governance.

The intent isn’t internal memory recall or personality replication. It’s an attempt to reassert identity fidelity and decision-grade clarity in environments where AI output is often fast, plausible — and wrong.

The following conversation with Tout took place ahead of the company’s launch this morning. Responses have been edited for clarity.

LW: You’ve emphasized that Identient is “a marketplace, not a consultancy.” Why is that distinction important?

Tout: A consultancy model assumes output is tied to human time and services. What we’re building is a scalable platform where verified experts can create digital twins of their professional knowledge and make them available to organizations on demand. That shift — from services to marketplace — is central to how value is generated. It allows enterprises to benefit from expert insight without needing direct access to the individual, while preserving the expert’s control and compensation.

LW: You specifically avoid using the term “avatar.” How is a verified digital twin different?

Tout: “Avatar” suggests something entertainment-oriented or personality-driven. What we’re creating is grounded in verified intelligence, provenance and governance. Each digital twin is built on authenticated materials supplied by the expert — not scraped public data. Every response is traceable back to the creator’s approved knowledge base. The focus is on fidelity and expert reasoning, not personality simulation.

LW: In your background explanation, you mentioned interviews. Are these what train the twins?

Tout: Interviews are not the product. They are one input in a larger process used to extract high-signal context. The digital twin is trained on a structured intelligence dataset created from materials validated by Identient — for example: published work, case studies, transcripts, research notes. Interviews help uncover the expert’s decision patterns, but the asset itself is that verified dataset.

LW: You’ve referenced other digital twin efforts, including recent startups. How does Identient differ?

Tout: Some companies in this space focus on memory access or internal availability, or offer personality-based bots. Those can be adjacent, but they are not peers. Identient is building a category around enterprise-grade verified intelligence — designed to support real decisions with transparent provenance. Our system prioritizes accuracy, constrained reasoning and attribution, not generalized synthesis.

LW: You’ve described the approach as “governance-first.” What does that mean for potential users?

Tout: In enterprise settings, a false or unverified answer can carry real risk. Our platform is designed to make provenance visible and traceable, and to constrain outputs to what the expert has authorized. If the twin lacks information, it can state that explicitly. We’re not optimizing for fluency — we’re optimizing for accountable guidance.

Pulitzer Prize-winning business journalist Byron V. Acohido is dedicated to fostering public awareness about how to make the Internet as private and secure as it ought to be.

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(LW provides consulting services to the vendors we cover.)

 

 

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