Financial Services
Cybersecurity & VAPT for Financial Services
Cybersecurity & VAPT for financial services, built around the constraint that defines the sector: every automated decision must be explainable and reproducible months after the fact.
- Regulations in scope
- 5
- Systems we integrate
- 5
- Typical first release
- 6 weeks
What changes when it is financial services
The re-test is included because unverified fixes are common. A change that looks correct in a diff can leave the vulnerability reachable by another path.
In financial services, every automated decision must be explainable and reproducible months after the fact. That single fact reshapes how cybersecurity & vapt has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.
The workload we are most often asked to take on first is client communication review, usually integrated against core banking. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.
Deployed across regulated and unregulated sectors, with audit trails where the regulator expects them. You own the code, the models where they are open-weight, and the documentation to run it without us.
The sector constraints we design around
- Defining constraint
- every automated decision must be explainable and reproducible months after the fact
- Regulations in scope
- RBI guidelines · SEBI regulations · DPDP Act 2023 · PMLA and AML rules · IRDAI where insurance applies
- Systems of record
- core banking · trading and OMS · loan origination · SAP and Oracle financials · regulatory reporting platforms
- Where we usually start
- credit memo drafting
Cybersecurity & VAPT workloads in financial services
- credit memo drafting
- KYC and onboarding checks
- regulatory report assembly
- reconciliation
- client communication review
What is included
- Scoped testing across web, API, mobile or network as agreed
- Findings ranked by exploitability and business impact, not by scanner severity
- Proof-of-concept for each finding so nobody debates whether it is real
- Remediation guidance specific to your stack, not generic advice
- Free re-test after fixes, because an unverified fix is a hope
- Report formatted for the auditors and clients who will ask for it
Questions from this sector
Can we use AI in credit decisions?
With explainability, documented model governance and human review on adverse outcomes, yes. RBI expects you to be able to explain any decision that affects a customer.
How do you handle data residency?
Deployment inside Indian regions or on your own infrastructure, which is the usual requirement for regulated financial data.
How often should we test?
Annually as a baseline, plus after any significant change to authentication, payments or data handling. Continuous scanning between manual tests catches the obvious regressions.
Will testing break our systems?
We agree scope and intensity first, and destructive tests are excluded unless you explicitly want them in a staging environment. Production testing is deliberately careful.
Do you help fix the findings?
Yes, as a separate engagement if you want it, and the re-test is included either way so you can verify your own team's fixes.
Other capabilities for financial services
- AI Agent Development for Financial Services
- Agentic Workflow Automation for Financial Services
- LLM Application Development for Financial Services
- RAG & Knowledge Retrieval for Financial Services
- Chatbot Development for Financial Services
- WhatsApp Bot Development for Financial Services
- Voice AI Agents for Financial Services
- Document Processing & IDP for Financial Services
- AI Copilot Development for Financial Services
- Predictive Analytics & Forecasting for Financial Services
Cybersecurity & VAPT for financial services, worth a conversation?
Tell us the workload and the regulation it sits under. We will tell you what is realistic.
Or email bd@dtrasglobal.com · call +91 74118 77878