Protect Customers Before They Become Victims
AMAN AI is an AI Trust Layer that protects banking customers from scams, fraud, deepfake attacks and social engineering — before money leaves their accounts.
Banks Detect Fraud.
Customers Need Protection.
Traditional fraud systems watch transactions after they happen. By the time a rule fires, the customer has already clicked confirm — and the money is already gone.
Fraud
Criminals impersonate banks, exploit stolen credentials, and move money through mule accounts faster than legacy rules engines can react.
Deepfake
AI-generated voice and video clones convince customers to authorize transfers to people who were never really on the call.
Social Engineering
Scammers manipulate trust and urgency to walk customers through the transfer flow themselves — no malware, no breach, just persuasion.
Scams start outside the banking app
Victims willingly authorize payments
AI cannot stop this after approval
AMAN AI stops it before approval
Meet the AI Trust Layer
Every transaction passes through an AI decision layer that sits between the customer and the bank's core systems — reading intent, verifying consent, and explaining risk in plain language before money ever moves.
- Real-time signal collection across device, behavior and voice
- An LLM that explains risk the way a human fraud analyst would
- A recommendation the customer and bank can both act on instantly
Customer
Initiates a transfer from the banking app
AMAN AI
Analyzes intent, device, behavior & risk in real time
Bank
Executes the transfer once trust is confirmed
One platform, six layers of protection
AMAN AI combines real-time risk signals, generative explanations and identity verification into a single trust layer your bank can deploy in weeks.
AI Transaction Explanation
Plain-language reasoning for every flagged transfer, generated in real time by our LLM layer — no jargon, no black box.
- Human-readable risk reasoning
- Available in Arabic & English
- Cuts support escalations
AI Trust Score
A single 0–100 score fuses device, behavior, location and history signals into one number your systems can act on instantly.
- Real-time scoring under 200ms
- Explainable factor breakdown
- Tunable per risk appetite
Consent Verification
Confirms the customer truly understands and intends the transfer — not just that they tapped confirm under pressure.
- Step-up identity checks
- Liveness & intent prompts
- Reduces authorized push fraud
Scam Detection
Pattern recognition trained on real scam typologies catches social engineering before the transfer is even submitted.
- Typology-based detection
- Continuously retrained models
- Cross-channel signal fusion
Deepfake Voice Detection
Detects synthetic and cloned voices in call-center and voice-authorized flows to stop AI-powered impersonation scams.
- Sub-second voice analysis
- Works with existing call flows
- Flags cloned & synthetic audio
Behavioral Intelligence
Learns each customer's normal patterns — device, typing, navigation — to spot the moment behavior stops looking like them.
- Continuous behavioral baseline
- Session-level anomaly detection
- Silent, frictionless monitoring
From tap to trust in milliseconds
A single transfer flows through seven coordinated steps — invisible to the customer until the moment it matters.
Customer starts transfer
The journey begins the moment a transfer is initiated in the banking app.
Signals collected
Device, location, behavior, voice and transaction metadata are captured instantly.
Risk Engine
Signals are scored in real time against fraud and scam typologies.
LLM explains
A generative model translates the risk score into plain-language reasoning.
Customer conversation
The customer receives a clear explanation and, if needed, a verification prompt.
Recommendation
AMAN AI recommends proceed, verify, or pause — with full audit trail.
Transfer
Funds move only once trust has been established on both sides.
A live command center for fraud & risk teams
Every signal, score and alert AMAN AI generates rolls up into a single console your risk operations team can act on in seconds.
Transactions Screened
Fraud Prevented (SAR)
Avg Decision Time
Active Alerts
Risk Timeline
Last 12 hoursFraud Trends by Channel
This weekAverage Trust Score
Latest Alerts
Deepfake voice detected on call verification
High RiskNew device + high amount transfer flagged
High RiskUnusual login location for returning customer
MediumFirst-time beneficiary within normal range
Low
Scam Categories
- Impersonation Scams38%
- Investment Fraud26%
- Romance Scams18%
- Deepfake / Voice18%
Live Threat Radar
Scanning in real timeAMAN AI Assistant
● Online — explaining transfer #48213
This transfer appears unusual because:
- New beneficiary
- Device never seen before
- Amount is 8x your normal transfer
- IP reputation is low
Every risk score comes with a reason
Customers don't trust black boxes. AMAN AI's generative explanation layer turns a raw risk score into a conversation — so customers understand exactly why a transfer was paused, and what to do next.
See how Trust Score is calculatedOne score. Six signals. Zero ambiguity.
Every interaction is distilled into a single, explainable Trust Score — so your systems and your customers know exactly where they stand.
Consistent device, familiar beneficiary, normal amount — transfer proceeds automatically.
New device, unfamiliar beneficiary, unusual amount — AMAN AI recommends pausing for verification.
What contributes to the score
Recognized device, consistent fingerprint
Matches typical customer geography
Within range of historical transfers
Typing & navigation match baseline
Long-standing relationship, low disputes
No synthetic or cloned voice detected
Protection that feels invisible
For the 99% of transfers that are exactly what they look like, AMAN AI adds milliseconds. For the rest, it adds a lifeline.
Opens app
Customer logs into their banking app as usual.
Starts transfer
Enters amount and beneficiary details.
Gets AI explanation
AMAN AI surfaces risk in plain language, instantly.
Confirms identity
Quick step-up verification when risk is elevated.
Completes safely
Transfer proceeds with full confidence on both sides.
Built to slot into your existing stack
AMAN AI sits alongside your core banking systems as a decision layer — not a replacement, an upgrade.
Risk Signals
Device, behavior, voice & network telemetry
Risk Engine
Real-time scoring against fraud typologies
Trust Layer
Generates explanation & recommendation
Core Banking
Executes, holds, or steps up the transaction
Audit
Immutable trail for compliance & review
A trust layer, not a black box
Every layer is independently observable, testable and explainable — designed for environments where compliance is non-negotiable.
Mobile App
Customer-facing banking application on iOS & Android
API Gateway
Secure, authenticated entry point for all transaction traffic
Trust Layer
AMAN AI orchestration layer — the core of the platform
Risk Engine
Real-time scoring across device, behavior & network signals
LLM
Generates human-readable risk explanations & conversation
Decision Engine
Routes to proceed, step-up verification, or pause
Bank Core
Core banking system executes the final, trusted transaction
Enterprise grade, by default
Built for regulated financial institutions from day one — not retrofitted after the fact.
SOC 2
Type II controls across security, availability & confidentiality.
ISO 27001
Certified information security management system.
PDPL Ready
Aligned with Saudi Personal Data Protection Law requirements.
End-to-End Encryption
Data encrypted in transit and at rest, always.
Zero Trust
Every request verified — no implicit trust between services.
Audit Logs
Immutable, timestamped trail for every decision made.
Plays well with your existing stack
Pre-built connectors for the core banking platforms and cloud infrastructure that power modern banks.
Where AMAN AI is headed
Our 2026 roadmap moves from real-time fraud protection to a fully autonomous trust layer.
Fraud Protection
Core Trust Score, transaction risk scoring and AI explanations, generally available.
Deepfake Detection
Synthetic media detection for video and image-based identity verification.
Voice Biometrics
Deepfake voice detection and speaker verification for call-center authorization.
Behavior Graph AI
Network-level graph intelligence linking mule accounts and scam rings across banks.
Autonomous AI Agents
Agents that proactively investigate, verify, and resolve risk cases end-to-end.
Frequently asked questions
AMAN AI is an AI Trust Layer for banking that sits between the customer and core banking systems. It analyzes risk signals in real time, explains that risk in plain language, and recommends whether a transaction should proceed, be verified, or be paused — before money ever leaves the account.
Build Trust Before Money Moves
Talk to our team about deploying the AI Trust Layer across your banking channels — most pilots go live within weeks.