LAB SERVICES

SECURING AI IN FINANCIAL SERVICES

Station Zero opens its sealed range in Mumbai to banks, brokers, insurers, and the AI vendors and fintechs that serve them. We test AI systems the way attackers will, prove defences before they go live, and turn Indian regulation into evidence a board can sign off.

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WHAT WE OFFER

Eight ways to test and prove your AI

01

AI AND AGENT RED TEAMING

We attack your chatbots, copilots and agents first: prompt injection, jailbreaks, data leakage, tool abuse and malicious MCP servers. Structured against OWASP LLM and Agentic Top 10, MITRE ATLAS and NIST AI RMF.

02

INDIC ADVERSARIAL TESTING

Global testing tools are built for English. We test against fraud and injection attacks in Hindi, Marathi and code-mixed language, from a growing attack library built in Indian finance.

03

THE SEALED TEST RANGE

An air-gapped environment in Mumbai where models are tested on sensitive or localised data that never leaves the room.

04

AIR-GAPPED AI REFERENCE LAB

A working on-prem AI stack you can walk into: local model, retrieval over confidential documents, logging and access controls. The reference architecture is published openly.

05

DEEPFAKE AND AI-FRAUD TESTBED

India-specific scenarios global vendors rarely cover: voice-cloned executive fraud, deepfaked video KYC and AI-scripted UPI scams.

06

AI ASSURANCE AND READINESS

Control checklists and evidence packs mapped to RBI FREE-AI, SEBI CSCRF, the DPDP Act and CERT-In. Includes readiness reviews for foreign AI vendors and fintechs entering India.

07

AI-ERA SOC AND AGENT MONITORING

Most SOCs can’t yet see what an AI agent is doing. We design monitoring for prompts, tool calls and agent actions, and test where AI-assisted triage helps and where it fails.

08

CONTINUOUS RE-TESTING

Models drift, get retrained and gain new tools. Periodic re-testing tracks whether defences still hold, with your test history kept as a running benchmark.

THE PROCESS

How an engagement works

STEP 1
SCOPE
Targets, objectives and success criteria.
STEP 2
RULES OF ENGAGEMENT
Legal limits, data handling and disclosure, in writing.
STEP 3
TEST
Senior practitioners with supervised student researchers.
STEP 4
REPORT
Findings, severity, remediation and a regulator-ready summary.
STEP 5
BRIEF
For your CISO, risk committee or board.
STEP 6
RE-TEST
Verify fixes and measure what improved.
WORK WITH THE LAB
CISO Roundtable
Quarterly, closed-door, anonymised findings under the Chatham House Rule.
Purple-Team Day
Each semester our red-team and SOC cohorts attack and defend a mock bank live. Industry guests welcome.
Pilot partners
A limited number of institutions receive AI red teaming in exchange for anonymised findings.
CISO advisory board
Security leaders who help choose the problems the lab works on.
Research and publications
An annual State of AI Security in Indian BFSI report, an open assurance framework and reference architectures.
Talent
Graduates who have attacked and defended realistic financial systems. Internship and hiring partnerships available.

WHO WE WORK WITH

Banks, NBFCs and insurers deploying AI
SEBI-regulated brokers, AMCs and market infrastructure
Foreign AI vendors selling into Indian financial institutions
Fintechs preparing to launch in India
Investors assessing AI risk in fintech targets
START A CONVERSATION

TEST IT BEFORE THEY DO.

Tell us what you’re deploying and what keeps you up at night. We’ll come back with a proposed scope.

[CONTACT EMAIL]
Xavier Institute of Engineering, Mahim, Mumbai
[ENGAGEMENT NOTE: e.g. commercial assessments delivered through Starkfleet Advisory]