Continuous authentication for modern enterprises.
Replace static identity checks with real-time behavioral signal modeling. Verify continuously - not once at login.
THE ENTERPRISE PROBLEMTraditional authentication is broken.
Today's authentication verifies identity once. Risk evolves continuously. The gap between the two is where account takeover, session hijacking, and insider threats live.
Password fatigue
Credential-based systems create friction without delivering continuous trust.
Session hijacking
Once authenticated, a session is trusted indefinitely. Attackers exploit the assumption.
MFA friction
Multi-factor adds steps, not understanding. A verified credential is not a verified actor.
Agentic risk
Machine identities now outnumber humans. Trust cannot be established at login and assumed thereafter.
THE SOLUTIONAuthentication as a continuous signal.
Not a gate. Not a checkpoint. A live, continuously calibrated understanding of session integrity - powered by Large Behavioral Models.
HOW IT WORKS01 - Passive signal capture
Behavioral signal captured continuously throughout the session.
Zero additional user friction. Invisible to the end user.
02 - Real-time behavioral modeling
The LBM evaluates live behavioral signal against established patterns for each actor. Trajectory, rhythm, deviation - continuously.
03 - Dynamic risk scoring
Session trust scored continuously.
Risk updated in real time as context evolves - not at fixed checkpoints.
04 - Adaptive security response
When risk deviates, the system responds proportionally.
Step-up authentication triggered only when behavioral signal warrants it.
ENTERPRISE OUTCOMESReduced account takeover
Behavioral deviation detected in motion.
Threats identified before damage is done - not after.
Eliminated MFA fatigue
Step-up authentication only when behavioral signal demands it.
Friction applied with precision, not universally.
Continuous session trust
Session integrity maintained throughout, not assumed from login.
Trust earned continuously.
Invisible to users
Better security with less friction.
Behavioral modeling operates entirely in the background.
ARCHITECTUREEnterprise-ready deployment.
The SDK streams continuous confidence scores to your app. The API delivers behavioral alerts into your existing IAM stack.
SDK & API-based integration
The SDK delivers a continuous confidence score direct to your application. The API surfaces actionable alerts, such as compromised session handovers, into your existing IAM infrastructure.
Privacy-first
No raw behavioral replay. Model-based evaluation. On-device processing where applicable.
Auditable
Every decision traceable. Risk-bounded output. Built for enterprise governance requirements.
Powered by LBMs
Authentication is the first system built on zally's Modeling Framework. You are not buying an auth tool. You are deploying a Behavioral Model.
THE AGENTIC ERAMachine identities now outnumber humans. Trust cannot be assumed from a credential. It must be understood continuously.
"Identity is evolving: less about static credentials, more about behavior in real time."
Contact
We work directly with enterprise security and identity teams. If you are evaluating continuous authentication or exploring what Behavioral AI could mean for your environment, reach out.