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Adaptive Factor Stack (AFS)

Plurilock's™ Adaptive Factor Stack is a combination of behavioral-biometric, environmental, and contextual identity signals that are processed by Plurilock's machine learning engine to assemble an identity profile unique to every user.

By combining or layering these factors, Plurilock's machine learning engine is able to authoritatively identify real people, not just credentials, as they try to log in—drastically reducing the chance that an attacker can use stolen credentials to assume a legitimate user's identity.

2FA/MFA Rapid Reference

Authentication at a glance

Download the 2FA/MFA Rapid Reference now:

  • 2FA and MFA basics and common solutions
  • The benefits and drawbacks of each
  • Glossary of authentication terms

 

2FA/MFA Rapid Reference

  • 2FA and MFA basics and common solutions
  • The benefits and drawbacks of each
  • Glossary of authentication terms
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Downloadable References

PDF
Sample, shareable addition for employee handbook or company policy library to provide governance for employee AI use.
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Generative AI is exploding, but workplace governance is lagging. Use this whitepaper to help implement guardrails.
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Cheat sheet for basics to stay secure, their ideal deployment order, and steps to take in case of a breach.
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Real-time, continuous authentication using behavioral biometrics and machine learning.
 
 
 
 
 

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