One operating picture for AI, risk, cyber & compliance.
AI-powered governance, risk, compliance and cybersecurity for banks, NBFCs and regulated enterprises — board-level visibility across every AI system, governed, monitored and audit-ready.
Eight disciplines.
One platform.
The full span of AI risk and governance delivered by the same partners from strategy through to controls.
Blind spots between you and AI readiness.
AI is being adopted faster than it is being governed. MS RiskTec helps you identify, govern, monitor and mitigate every one.
Shadow AI across departments
Unmanaged AI tools spreading without oversight.
Lack of AI governance
No framework, policy or accountability for AI.
AI model bias & explainability
Decisions that can't be explained or defended.
Growing cyber threats
Expanding attack surface across AI systems.
Data privacy & DPDP obligations
Rising duties around consent and personal data.
Regulatory uncertainty
FREE-AI, EU AI Act and more, evolving fast.
Limited Board visibility
Leadership can't see AI risk across the estate.
Disconnected risk & compliance
Siloed processes that don't talk to each other.
AI platforms built for enterprise governance
Enterprise AIMS™
The AI governance and model-risk backbone — a live inventory of every model touching a decision, with the controls and evidence regulators now expect.
A continuous governance lifecycle
Seven stages, run as a loop — not a one-time project. Every cycle strengthens the evidence your Board and regulators see.
More than consulting. More than software.
From strategy to technology to continuous governance — MS RiskTec is your end-to-end AI transformation partner.
Enterprise-grade deployment. On-premise, hybrid or air-gapped your data stays within your perimeter, with residency and audit controls built in.
See deployment & security →Strategic advisory for AI-native enterprises
AI-Native Enterprise Transformation
From AI experimentation to AI-native business operations.
AI Governance & Responsible AI
Frameworks, policies and controls for trustworthy AI.
Enterprise Risk Management
AI-enabled COSO ERM, risk appetite and dashboards.
Board & CXO Advisory
Strategic oversight of AI, cyber, compliance and risk.
Regulatory Compliance
RBI, DPDP, SEBI, ISO and NIST readiness.
Cybersecurity Governance
Cyber risk quantification and digital-trust programs.
Helping organizations stay ahead of regulations
AI oversight frameworks for banks & NBFCs
Readiness assessments against the framework
Privacy programs, consent & data governance
Cyber resilience for market intermediaries
Audit-ready AI management systems
Information security & privacy management (PIMS)
AI risk mapping, measurement & controls
Enterprise risk frameworks & risk appetite
Responsible AI policy alignment
Risk classification & conformity readiness
Regulated and complex by nature
Different sectors carry different regulators and risk profiles. We bring sector-specific governance to each.
See industry programs →Led by practitioners regulators and Boards already trust
Former Chief Risk Officers, bank Managing Directors, Fortune 500 technology leaders and finance academics with the certifications and regulatory track record to match.
Meet the full team
Ready to see your organization's AI risk picture?
Start where these engagements started — with a structured AI risk assessment.
Perspectives on governing AI
Risk managementEnterprise risk management in the insurance industry: Trends and future directions
The research aims to describe the state of enterprise risk management (ERM) in the insurance sector. It highlights emerging trends in the application of risk management in the insurance sector and thereby reports the prominent research gaps and new avenues for research in ERM. The research adopts a systematic literature review (SLR) approach, using 187 research papers spanning 44 years (1977–2021). The paper identifies the fact that most ERM and insurance sector research is performed in North America and Europe, while developing economies in Asia and Africa lag. The paper establishes a three-way relationship between ERM, risk management (RM) and risk-based capital (RBC) where RM is a subset of ERM and RBC is a driver of ERM. The research shows that very few studies are conducted on risk culture, three lines of defence and the role of chief risk officers. The determinants of ERM identified are board, firm size, audit and risk management committee and corporate governance. The determinants identified for firm value are return on assets, return on equity, profit, Tobin's Q, among others. This research provides a way for academicians, practitioners and policy makers to design effective strategies for implementing ERM in organisations. Keywords: risk management; enterprise risk management; ERM; insurance; risk-based capital; RBC; risk culture; systematic literature review
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Corporate GovernanceThe Corporate Fever Theory of Risk Escalation: A Conceptual Framework for Early Organisational Response to Emerging Risks
This article proposes a conceptual framework called the Corporate Fever Theory of Risk Escalation, which emphasises early detection and internal escalation of risk awareness.
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AI GovernanceProspect Theory Applied to Board Governance
Board governance frameworks have long assumed that directors weigh risk and return rationally. Prospect Theory - Kahneman and Tversky's Nobel-winning model of decision-making — suggests otherwise. Boards don't judge outcomes in absolute terms; they judge them against a reference point, and losses sting far more than equivalent gains feel good.
Read more →Ready to build an AI-ready enterprise?
Whether you're beginning your AI journey or strengthening governance across the enterprise, we bring the strategy, technology and expertise to help you move forward with confidence.