NOT BUILT — PHASE 2

AI Customer Identity Management That Stops Account Takeover

Cian Gatekeeper — Lead AI Customer Identity Director

 Your customers interact across mobile, web, branch, and API — but your identity systems do not see them as one person. Identity sprawl creates gaps. Session hijacking goes undetected. Credential stuffing overwhelms login infrastructure. Cian Gatekeeper unifies customer identity across 100% of channels, prevents account takeover with adaptive authentication, and blocks credential stuffing in real time — all with 100% consent compliance enforcement.

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Cian Gatekeeper

Lead AI Customer Identity Director

coming soon

Strong

Account Takeover Prevention

100%

Cross-Channel Identity Unification

Adaptive

Auth Friction Scoring

High

Credential Stuffing Block Rate

100%

Consent Compliance Enforcement

Target metrics based on model design specifications. Phase 3 roadmap.
Trusted by Teams across Banking, Fintech, Insurance, and Global Trade
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THE PROBLEM

The Problem Your Digital Banking Team Faces Every Day

Your customers interact with your institution through mobile apps, web portals, branch systems, call centers, and API integrations. But each channel maintains its own identity silo. The mobile app does not know the customer just called the branch. The web portal does not know the session was compromised on mobile.

According to Javelin Strategy & Research, account takeover fraud losses exceeded
$11 billion in 2024. Most ATO attacks succeed because identity systems are fragmented.

 

Customer identity sprawl

Each channel maintains separate identity records, authentication states, and session contexts. When a customer  changes their password on the web, the mobile app session remains active. When a device is compromised, the call center does not know. Identity sprawl creates gaps that attackers exploit.

 

No unified IAM

Traditional IAM systems were built for employees, not customers. CIAM requirements — progressive profiling, consent management, cross-channel session management, and adaptive authentication — exceed what employee IAM delivers. According to Gartner, fewer than 30% of financial institutions have a unified CIAM platform across all channels.

 

Session hijacking and account takeover

Attackers steal sessions through malware, phishing, and man-in-the-middle attacks. Credential stuffing bots test stolen credentials at scale. According to Akamai, financial services were the most targeted industry for credential stuffing in 2024, accounting for 34% of all attacks. Most institutions detect ATO after the damage is done.

JOB DESCRIPTION 

What Cian Gatekeeper Does — Job Description

Cian Gatekeeper is a Lead AI Customer Identity Director that operates across your digital channels as a dedicated customer identity management and protection specialist.

CIAN GATEKEEPER 

Lead AI Customer Identity Director | FF-CIM

 Not Ready

Reports To

Your CISO / Head of Digital Banking

Works With

Existing IAM, mobile banking, web,
branch, and API systems  

Deployed In

30 days (shadow mode first)

KEY RESPONSIBILITIES

01

Unify customer identity across 100% of channels  — mobile, web, branch, call center, and API into a single authoritative profile 

02

Prevent account takeover through continuous session monitoring, behavioral analysis, and  anomaly detection 

 

03

Deliver adaptive authentication that adjusts friction based on real-time risk scoring 

04

Block credential stuffing attacks in real time  without impacting legitimate customer logins

05

Enforce consent compliance at 100% with GDPR/ CCPA-mapped audit trails 

AUTONOMY MODEL

Low risk — Acts autonomously (approve, clear) 

Medium risk — HITL by default (configurable)  

High risk —  ALWAYS human review (non-negotiable)

You configure the threshold per rule

Kill switch : Disable instantly

PERFORMANCE METRICS

Target Performance — Design Specifications

These metrics are target specifications for Cian Gatekeeper's production model.

95%
Account Takeover Prevention
ML-powered ATO detection
100%
Cross-Channel Identity Unification
unified across all channels
Dynamic
Adaptive Auth Friction
Dynamic risk-proportional authentication
High
Credential Stuffing Block Rate
real-time blocking
100%
Consent Compliance Enforcement
GDPR/CCPA mapped
Real-time
Session Hijacking Detection
Real-time behavioral monitoring
Probabilistic
Identity Resolution Accuracy
cross-channel matching
100%
Audit Trail
every decision logged

Model: Behavioral identity analytics with session risk scoring |  Data : Customer profiles, session tokens, device data, login history, consent records| Status : Phase 3 roadmap — design specifications

HOW IT WORKS

How AI Customer Identity Management Works with Cian Gatekeeper

Cian Gatekeeper connects to your existing customer-facing systems as an identity layer — no rip-and-replace, no migration. Here is how customer identity is managed and protected:

01

Unify

Cian Gatekeeper integrates with your mobile banking, web portal, branch systems, call center, and API platforms via API. Customer
identity data — profiles, device history, session tokens, login
history, and consent records — is linked into a single unified identity per customer across all channels.

02

Authenticate

 Every customer interaction is evaluated using adaptive authentication. Risk scoring considers device trust, location, behavior, session history, and the sensitivity of the requested action. Low-risk interactions proceed with minimal friction. Higher-risk interactions trigger proportional step-up verification — biometric, OTP, or challenge questions.
 

03

  Monitor

Post-authentication, Cian Gatekeeper continuously monitors session behavior for anomalies — session hijacking attempts, unusual navigation patterns, rapid action sequences, and behavioral deviations that indicate a compromised session or account takeover in progress.

04

Protect

 When threats are detected, Cian Gatekeeper responds in real time:
  • Credential stuffing → Block at the login layer
  • Session hijacking → Terminate session, force re-authentication
  • Account takeover → Lock account, alert security team (always)
  • Consent violation → Block data access, log compliance event
Every action produces an audit trail with consent compliance and
 regulatory framework mapping.

 
 

Want to See This on Your Digital Channels?

Get early access to Cian Gatekeeper. Be first in line when Phase 3
launches. We will notify you when shadow mode testing begins.

COMPLIANCE & REGULATORY MAPPING

Regulatory Frameworks Supported

AI customer identity management in regulated financial services requires compliance with identity, authentication, and data protection frameworks. Every identity decision Cian Gatekeeper makes is mapped to the regulatory framework that applies.

NIST 800-63

NIST 800-63

Digital identity guidelines (proofing, authentication, federation)

GDPR

GDPR

Data protection and consent management requirements

CCPA

CCPA

California Consumer Privacy Act data rights

PSD2 SCA

PSD2 SCA

Strong Customer Authentication for payment services

FIDO2/WebAuthn

FIDO2/WebAuthn

Passwordless authentication standards

EU AI Act

EU AI Act

Transparency requirements for AI-driven identity decisions

YOUR ANALYST'S VIEW

What Your Identity Operations Team Sees

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One customer. One identity. Every channel protected.

BEFORE vs AFTER  

BEFORE CIAN GATEKEEPER 

  • Fragmented identity across channels 
  • Static authentication 
  • ATO detected after damage
  • No stuffing protection
  • Manual consent tracking

 AFTER CIAN GATEKEEPER    

  • 100% unified across channels  
  • Adaptive, risk-based   
  • Prevented in real time  
  • Prevented in real time   
  • 100% automated compliance 

ROI — AI CUSTOMER IDENTITY MANAGEMENT vs HIRING vs LEGACY TOOLS

AI Customer Identity Management Cost Comparison — 2026

How does Cian Gatekeeper compare to hiring identity engineers or deploying legacy CIAM platforms?

Criteria Hire 3 Identity Engineers  Legacy CIAM Platform  Cian Gatekeeper
    Annual cost   $480K-$960K (salary + benefits  $200K-$500K (license + integration)  Custom pricing
Deployment time  6-12 months (recruit + implement 12-18 months (full deployment) 30 days (shadow mode) 
Cross-channel unification  Manual, ongoing project Vendor-dependent 100% automated 
Account takeover prevention   Manual monitoring Basic rules  ML-powered, real-time
Adaptive authentication   Custom development Vendor-dependent  Built-in, dynamic 
Credential stuffing blocking      WAF rules (limited)   Basic rate limiting   ML-powered, real-time
   Consent compliance   Manual tracking   Partial     100% automated GDPR/CCPA  
  Scales with customers    Hire more ($$)   License tiers ($$)       Auto-scales
  Learns from behavior    Manual analysis   No     Yes (continuous)

 

Key insight:According to Javelin Strategy & Research, account takeover fraud losses exceeded $11 billion in 2024. The cost of a
single ATO incident — account recovery, customer remediation, regulatory reporting, and reputational damage — can exceed $25,000. Cian Gatekeeper prevents ATO at the identity layer — before fraud occurs — at a fraction of the cost of dedicated identity engineering teams.

WORKS BEST WITH

Agents That Work Best with AI Customer Identity Management

Cian Gatekeeper delivers maximum impact when paired with these FluxForce SuperHumans:

Nova Sentinel

Lead AI Zero Trust Security Architect

Extends customer  identity decisions into zero trust access policies — if Cian detects a compromised session, Nova blocks access  across all systems instantly .

Learn now

Iris Verma

Senior AI Identity Verification Specialist

Adds biometric identity verification to customer onboarding and high-risk interactions — confirming the real person behind the account.

Learn now
TRUST BUILDERS

Built for Security Teams at Regulated Financial Institutions

Configurable Autonomy

Low risk: Cian acts autonomously (approve, minimal friction).Medium risk: HITL by default (step-up authentication - configurable).High risk: Always human security review. You set the threshold per channel, per action type, per risk tier.

Kill Switch

Disable Cian Gatekeeper instantly. No system impact. No downtime. One click. Authentication reverts to existing IAM policies.

Shadow Mode

Run Cian Gatekeeper on your live customer interactions for 30 days. Observation only — no enforcement, no friction changes. Validate identity unification and risk scoring before going live.

Explainability

Every identity decision includes plain-English reasoning — why authentication was approved, stepped up, or blocked. Device trust, location, behavior, and session signals are documented for every decision.

Audit Trail

Every decision logged with immutable, tamper-evident evidence chain. Regulation → rule → evidence → action → outcome.

No Migration

API integration layer. Cian Gatekeeper works with your existing IAM, mobile banking, and web infrastructure. No rip-and-replace.

Thoughts That Matter star

Insights on AI Security,Compliance
& Financial Automation

Keep up with the latest AI trends, insights, and conversations.

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Questions? We Have Answers star

Frequently Asked
Questions

AI customer identity management works by creating a unified identity profile for each customer across all channels — mobile banking, web, branch, API, and call center — and continuously evaluating risk at every interaction point. Cian Gatekeeper by FluxForce unifies identity data, applies adaptive authentication based on real-time risk scoring, and prevents account takeover through behavioral analysis, session monitoring, and credential stuffing detection.
Account takeover occurs when an attacker gains unauthorized access to a customer's account, typically through stolen credentials, phishing, or session hijacking. According to Javelin Strategy & Research, account takeover fraud losses exceeded $11 billion in 2024. Cian Gatekeeper prevents ATO by monitoring session behavior, detecting anomalous login patterns, identifying credential stuffing attacks, and triggering adaptive authentication when risk signals emerge.
Cross-channel identity unification is the process of linking customer identity data across all touchpoints — mobile app, web portal, branch systems, call center, and API integrations — into a single, authoritative profile. Most financial institutions have fragmented identity data across systems. Cian Gatekeeper achieves 100% cross-channel unification, ensuring consistent authentication, authorization, and risk scoring regardless of channel.
Adaptive authentication adjusts the level of identity verification required based on the risk level of each interaction. Low-risk actions (checking a balance from a known device) require minimal friction. High-risk actions (adding a new payee from an unknown location) require stronger verification. Cian Gatekeeper scores friction dynamically, ensuring security without degrading the customer experience for routine interactions.
AI detects credential stuffing attacks by analyzing login attempt patterns — velocity, source IP distribution, device fingerprinting, and failure rates — that distinguish automated attacks from legitimate user behavior. According to Akamai, financial services accounted for 34% of all credential stuffing attacks in 2024. Cian Gatekeeper blocks credential stuffing in real time without impacting legitimate customer logins.
Customer identity management is subject to NIST 800-63 identity proofing and authentication guidelines, GDPR and CCPA data protection requirements including consent management, PSD2 Strong Customer Authentication in the EU, and the EU AI Act's requirements for AI-driven identity decisions. Cian Gatekeeper maps every identity decision to the applicable regulatory framework with audit-ready trails.
AI customer identity management uses configurable autonomy. Low-risk identity interactions — known devices, expected behavior, routine logins — are handled autonomously with minimal friction. Medium-risk interactions — new devices, unusual locations, or behavioral deviations — trigger adaptive step-up authentication (configurable). High-risk interactions — suspected account takeover, credential stuffing, or session hijacking — always require human security review. The institution configures the threshold per channel and action type.
AI Customer Identity Management - ATO Prevention. 100% Unification.
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