Vmatic Agentic
Banking Intelligence
Helping banks, NBFCs, fintechs and digital financial institutions understand risk earlier, connect the signals around fraud, and move from detection to informed action.
Fraud is no longer just a transaction problem.
Modern attacks can involve devices, applications, remote access, social engineering, behavioral changes, mule networks and multiple channels. The objective is to bring these signals into a clearer risk context—without asking institutions to replace the systems they already operate.
See beyond the transaction
Consider device, application, behavioral and contextual signals around a financial event.
Connect fragmented signals
Correlate independent indicators to build a more meaningful picture of customer and fraud risk.
Turn intelligence into action
Support warnings, step-up checks, review, case workflows or transaction controls according to institutional policy.
One intelligence journey. Four practical stages.
This page intentionally stays at the solution level. The detailed architecture, models, integration approach and deployment options can be discussed around your specific environment.
DETECT
Find signals that may indicate emerging risk.
- Transaction monitoring
- Device & IP intelligence
- Behavioral anomalies
- Application risk
INVESTIGATE
Connect evidence and understand the context.
- Signal correlation
- Entity & network relationships
- Case enrichment
- Investigation support
DECIDE
Apply risk intelligence to institutional policy.
- Risk scoring
- Fraud likelihood
- Policy alignment
- Explainable decision support
ACT
Coordinate a timely, proportionate response.
- Allow / warn / step-up
- Hold or block where appropriate
- Case & alert workflows
- Customer / operations response
Where the concept can help
These are conversation starters—not a fixed product catalogue. The right combination depends on the institution's channels, fraud profile, policies and existing controls.
Digital Arrest & Social Engineering
Identify contextual indicators such as prolonged calls, remote assistance patterns and unusual device behavior so teams can intervene before a loss event.
Remote Access & Device-Control Fraud
Bring remote-session and device-control indicators into a broader risk assessment instead of evaluating the transaction in isolation.
Mule Account & Network Risk
Use relationship and behavioral signals to help investigators identify suspicious account activity and connected patterns.
Real-Time Transaction Risk
Combine multiple risk indicators to support faster decisions while preserving the institution's own rules, thresholds and risk appetite.
Fraud Investigation & Case Intelligence
Bring relevant events, entities and evidence into a more coherent investigation view for fraud operations teams.
Fraud Operations Intelligence
Help leadership and operations teams understand alerts, risk trends, response patterns and emerging fraud scenarios.
Move from isolated signals to a coordinated view of risk.
VMATIC Shield is positioned as an intelligence layer that can complement existing fraud-management, core-banking, digital-channel, SIEM and operational workflows. The goal is not to prescribe a single technology stack, but to create a practical path from signal → context → decision → response.
Talk to Our TeamQuestions teams commonly ask
A simple introduction for business, risk, fraud, security and digital-banking teams.
1. What is Vmatic Agentic Banking Intelligence?
It is the solution concept under VMATIC Shield for bringing AI-assisted intelligence, contextual signals, investigation support and coordinated response together across banking fraud scenarios.
2. Is it a replacement for our existing Fraud Management System?
No. The concept is designed as an additive intelligence layer that can complement existing fraud, core-banking, security and digital-channel systems.
3. Who can use this solution?
Banks, NBFCs, fintechs, payment businesses and other financial institutions can explore relevant use cases based on their risk environment and operating model.
4. What types of risk can it help address?
Examples include transaction fraud, device and application risk, remote-access scenarios, digital-arrest and social-engineering indicators, mule-account risk, behavioral anomalies and investigation workflows.
5. What does “Detect → Investigate → Decide → Act” mean?
It represents the intended journey: identify risk signals, understand their context, support an informed decision, and coordinate the appropriate response.
6. Can it work with existing banking infrastructure?
The solution can be discussed as an integration layer around existing fraud systems, CBS, digital channels, security operations and notification workflows.
7. Does it require access to customer passwords or PINs?
The VMATIC Shield positioning is privacy-oriented and does not require access to banking passwords, PINs or account balances for its fraud-intelligence concept.
8. Can banks define their own risk rules?
Yes. The solution concept emphasizes bank-controlled policies, thresholds and workflows so response strategies can reflect each institution's risk appetite.
9. Can the solution help with Digital Arrest fraud?
Yes. Digital-arrest scenarios can be approached using contextual indicators such as prolonged video interactions, remote assistance patterns and suspicious device behavior.
10. Can it help identify mule-account networks?
Mule risk can be approached through transaction patterns, relationships, behavioral indicators and correlated intelligence. The precise detection approach should be evaluated against the institution's data and controls.
11. Is the platform only for real-time transaction monitoring?
No. The broader concept covers pre-transaction signals, investigation intelligence, risk context, operational analytics and response workflows as well as transaction risk.
12. Can human investigators remain in the decision loop?
Yes. AI-assisted intelligence can support investigators and analysts while the institution retains control over policies, escalation and final operational decisions.
13. What is meant by “agentic” banking intelligence?
It refers to an approach where AI-driven components can assist with multi-step intelligence tasks—such as gathering context, correlating signals, preparing investigation views and recommending actions—within defined controls and human oversight.
14. How should an institution start?
Start with one or two high-value fraud scenarios, map the current workflow and available signals, identify decision gaps, and then discuss an appropriate proof-of-value or capability assessment with VMATIC.
15. Can VMATIC discuss a use case specific to our institution?
Yes. That is the preferred next step. Share the fraud scenario, current systems and business objective with the VMATIC team so the discussion can focus on a practical solution approach rather than a generic product presentation.
Why this conversation is becoming more important in India
Selected recent developments showing the increasing focus on AI, mule-account intelligence, real-time fraud prevention and responsible digital finance.
RBI strengthens safeguards against unauthorised electronic banking fraud
Government communication highlights expanded AI-driven fraud analytics, mule-account safeguards and stronger measures for digital fraud.
I4C and RBIH strengthen AI-driven fraud detection
The reported collaboration focuses on fraud-risk intelligence sharing and AI-based detection of mule accounts.
Cybercrime coordination and RBIH move toward shared intelligence
The reported MoU focuses on fraud-risk intelligence, analytics and operational coordination.
India plans an AI-agent registry as agentic payments emerge
NPCI is reported to be developing mechanisms to verify and monitor AI agents involved in UPI transactions.
Banks face pressure to detect and stop fraud faster
Industry discussions increasingly emphasize real-time behavioral analysis and rapid response as payment fraud evolves.
“Know Your Agent” enters the banking conversation
Industry leadership is discussing identity, authentication, consent, limits and auditability as AI agents participate in banking.
External links are provided for context and are not endorsements. Article availability and content may change on publisher websites.
Let's discuss the risk problem—not just the technology.
Tell us what you are trying to detect, where the current process struggles, and what systems are already in place. Our team can then discuss the most relevant VMATIC Shield approach.
Fraud scenario, channel or operational challenge.
Discuss signals, workflow, integration and next steps.
Ready to discuss your use case?
A productive first conversation can start with a single fraud scenario, such as digital arrest, mule-account risk, remote-access fraud, transaction risk or investigation workflow.
- The fraud or risk scenario you want to address
- Your current fraud/security controls
- The channel involved: UPI, mobile, internet, cards, lending or other
- The outcome you want to improve
Submitting the form reaches the same VMATIC Shield team that handles every request-a-demo enquiry across the site.