Identity security has historically focused on access – who should be allowed in, under what conditions, and at what moment in time.
But modern identity threats don’t hinge on whether access was granted. They emerge from what identities do after access is granted, using legitimate permissions across applications and infrastructure.
Reveal was founded on the belief that identity risk is fundamentally behavioral and post-authentication, and that securing identities requires understanding how identities operate – not just how they log in.
From the CEO
Kevin Hanes shares how we think about identity risk after login and how behavioral insight helps defenders act earlier.
As organizations strengthen authentication with MFA, conditional access, and zero trust, attackers adapt.
Today’s most damaging identity threats often involve:
This includes insiders misusing access, attackers operating post-authentication, and non-human or AI identities acting outside their intended role.
Traditional tools generate alerts and logs – but lack the behavioral context needed to detect identity threats and misuse early.
Reveal focuses on what identities actually do after login.
By continuously learning how human and non-human identities behave across applications and infrastructure, Reveal detects identity threats and misuse early and supports intervention before activity escalates.
This approach:
Cyber defense is evolving from reactive detection toward earlier identification and response – before damage occurs. Reveal supports this shift by detecting early signs of identity misuse after authentication and enabling teams to act sooner in the identity attack lifecycle.
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