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Regula highlights importance of identity signal integrity as layered IDV gains ground

Regula highlights importance of identity signal integrity as layered IDV gains ground
 

Regula Forensics sees a couple of common threads running through some of the biggest cybersecurity incidents of the year so far. The hacks, data exposures and compliance failures involving Intructure’s Canvas, Carnival Corporation, France Titres, Telegram and a pair of adult content providers collectively show the importance of identity signal integrity, according to a recent blog post from the company.

Identity signal integrity key to verification in AI age

The new analysis is in keeping with Regula’s evolving philosophy on identity signals. A May blog post from the company emphasizes that “identity verification now depends on multiple signals, not one artifact.”

Document data, biometric matches, device context, session metadata, and other signals help determine that a person is real, legitimate, and eligible for the action they want to take.

“Not every data point is an identity signal,” Regula says; “a data point becomes a signal when it contributes to an identity decision. A raw timestamp, for example, may be just metadata. But if it helps you bind a selfie to a specific session, detect a replay attempt, or explain a failed verification, it becomes part of the identity evidence.”

Signals easier to manipulate, harder to store

Identity signals are under siege from AI, which has made it much easier to manipulate or generate them, whether through document fraud or deepfake biometrics. Injection attacks target the media delivery mechanism itself.

“That is why identity verification now can’t stop at checking whether something looks real,” the company says. “It also needs to evaluate the context behind each signal: where it came from, how it was captured or generated, and whether it is strong enough for the decision being made.”

This establishes identity signal integrity: a weighted decision that considers the larger network of connections and relationships between biometrics, documents, capture and other factors.

The idea sees further investigation in Regula’s new post, which introduces the concept of “identity signal debt,” which refers to the risk incurred by insecure data storage or trusting credentials without sufficient evidence.

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