Enterprise AI Risk Assessment & Forensic Audit
Our senior AI risk architects conduct an exhaustive forensic audit across your organization — discovering shadow AI, categorizing systemic model vulnerabilities, tiering risks across five dimensions, and operationalizing continuous control with Enterprise AIMS™.
The 4-Pillar Enterprise AI Risk Audit
Delivered by senior risk practitioners and former banking Chief Risk Officers. We combine forensic technical scanning with institutional regulatory rigor to turn ungoverned AI chaos into an auditable control plane.
Organization-Wide AI Application Scan
A forensic sweep across all repositories, cloud environments, third-party vendor SaaS, and internal model registries to produce a live single source of truth.
- Automated code & pipeline scanning across GitHub, GitLab, and CI/CD workflows to identify model dependencies and inference scripts.
- Cloud tenant discovery across AWS (Bedrock/SageMaker), Azure OpenAI, GCP Vertex AI, and on-premises GPU clusters.
- Third-party AI SaaS audit — cataloging every commercial API key, vendor copilot, and embedded machine learning service in use.
- Generation of an immutable AI Asset Inventory detailing model owner, purpose, training data lineage, and influenced business decisions.
Shadow AI & Rogue System Discovery
Uncovering ungoverned employee generative AI usage, unofficial API wrappers, and ad-hoc heuristics operating without IT or compliance clearance.
- Endpoint & network egress inspection to track unauthorized calls to external LLMs (ChatGPT, Claude, Gemini, Hugging Face).
- Identification of spreadsheet macros, desktop Python scripts, and unvetted prompt pipelines directly driving business decisions.
- Data exposure analysis: assessing where sensitive proprietary code, customer financial records, or PII are transmitted outside company boundaries.
- Vendor SLA & terms-of-service audit to detect whether employee prompts are being ingested to retrain commercial third-party models.
AI Risk Possibilities, Threat Mapping & Tiering
Multi-vector threat modeling and algorithmic materiality tiering, evaluating failure modes against global regulatory benchmarks and internal risk appetite.
- Algorithmic failure profiling: Hallucination rate, concept drift, adversarial prompt injection vulnerabilities, and latency degradation.
- Proprietary 5-dimension risk scoring: Regulatory Risk, Model & Algorithmic Risk, Operational Dependency, Vendor/SLA Risk, and Fair-Lending/Bias.
- Materiality tiering: System classification into Critical, High, Medium, and Low risk tiers mapped to RBI FREE-AI, EU AI Act, and ISO 42001.
- Prioritized gap analysis highlighting non-compliant models requiring immediate remediation or circuit-breaker shutdown.
Deployment of Enterprise AIMS™ Solution
Transitioning the one-time audit findings into an automated, living governance operating system powered by MS RiskTec's proprietary Enterprise AIMS™ platform.
- Turnkey onboarding of your full AI inventory into Enterprise AIMS™ — establishing automated ownership, approval stage-gates, and version control.
- Real-time telemetry and continuous monitoring: Automated PSI drift alerts, performance decay triggers, and fairness divergence notifications.
- Pre-configured control libraries mapped directly to RBI Model Risk Directions, ISO/IEC 42001, and India's DPDP Act, 2023.
- One-click audit packs: Generates timestamped, board-ready compliance dossiers and regulatory inspection trails on demand.
Why an audit alone is not enough — Enterprise AIMS™
Unlike traditional consultancies that leave you with a point-in-time PDF report, MS RiskTec deploys Enterprise AIMS™ so your risk scores, drift metrics, and approval gates are enforced continuously.
Shadow AI: The Silent Regulatory & Security Threat
In over 90% of enterprise audits, business units have deployed generative AI tools, unofficial API wrappers, and external models without the knowledge or approval of the Chief Risk Officer or IT Security.
Proprietary Data & IP Leakage
Employees submitting unvetted code, financial models, strategy memos, or customer records into public LLMs.
Commercial terms of public models frequently permit ingestion for training, causing irreversible IP loss.
Network proxy interception, DLP enforcement, and tokenization wrappers.
DPDP & Statutory Privacy Violations
Personal identifiable information (PII) processed through third-party AI APIs without customer consent or data fiduciaries' audit trails.
Penalties up to ₹250 Crores under Section 33 of India's DPDP Act, 2023 for failure to observe reasonable security safeguards.
Automated PII masking, consent verification gates, and zero-retention API contracts.
Ungoverned Financial & Credit Decisioning
Teams using rogue Python scripts or ChatGPT prompts to synthesize customer risk profiles or draft underwriting rationales.
Breach of RBI's Model Risk Management Directions and fair-lending anti-discrimination mandates.
Rigid stage-gated intake, explainability verification (XAI), and mandatory human-in-the-loop signoff.
Model Drift & Unannounced Vendor Updates
Production workflows hardcoded against external API endpoints (e.g. gpt-4o, claude-3-5) whose underlying weights silently update.
Unexpected prompt regressions, hallucinations, and breaking changes directly degrading business operations.
Continuous PSI drift monitoring, regression benchmark test suites, and automated rollback fallbacks.
From Shadow AI to Governed Production Assets
Our audit does not just shut down shadow tools — we sanitize, risk-tier, and migrate legitimate business-unit AI innovations into compliant, sanctioned workflows with Enterprise AIMS™ guardrails.
The 5-Dimension AI Risk Mapping Engine
Every AI system in your organization is scored across five orthogonal dimensions. We map failure probabilities, quantify operational impact, and assign algorithmic materiality tiers aligned to global regulations.
01. Regulatory & Statutory Risk
Evaluates models against enforceable supervisory requirements, mandatory disclosure mandates, and local statutory penalties.
Four Tiers of Governance Rigor
Assigned based on aggregated 5-dimension scores to establish proportionate oversight without stifling low-risk innovation.
Critical Risk
Autonomous decisioning directly impacting customer financials, credit approvals, health, or critical infrastructure. Mandatory board review, full XAI explainability, and automated circuit breakers required.
High Risk
Customer-facing GenAI bots, automated underwriting recommendations, and fraud screening. Requires continuous PSI drift monitoring, human-in-the-loop approvals, and quarterly stress testing.
Medium Risk
Internal knowledge retrieval, semantic enterprise search, code-generation copilots, and back-office summarization. Monitored for data leakage and token consumption.
Low Risk
Non-critical internal heuristics, spam filters, and spell-check assistants. Managed via annual registry verification and baseline acceptable-use policies.
Executive Deliverables You Can Hand to the Board
Every AI Risk Assessment produces institutional, audit-grade artifacts engineered to satisfy regulatory inspections and give the Board complete line of sight over enterprise algorithmic risk.
Enterprise AI Asset & Shadow Registry
A centralized, immutable manifest detailing every production model, internal script, and third-party AI integration.
- Model lineage, owner, business purpose, and training dataset sources
- Shadow AI detection log with IP and data exposure severity tags
- API dependency map documenting third-party vendor integrations
- Exportable in machine-readable JSON/CSV and AIMS™ direct-sync format
5-Dimension Threat Dossier & Technical Report
Deep-dive diagnostic report detailing algorithmic failure vulnerabilities, prompt injection susceptibility, and regulatory non-compliance.
- Drift & PSI stability decay metrics per production model
- Red-teaming findings: prompt injection, jailbreaking, and data extraction results
- Fairness & bias testing data across protected demographic classes
- DPDP compliance gap analysis with exact statutory citation references
30-60-90 Day Executive Remediation Roadmap
A sequenced, executive action plan tailored for the Board Risk Committee, CRO, and Chief Technology Officer.
- Prioritized remediation backlog ranked by algorithmic risk materiality
- Immediate circuit-breaker containment steps for Critical Tier models
- Model governance operating model: RぱCI matrix and approval stage-gates
- Regulatory inspection pack ready for RBI, SEBI, and statutory audit inquiries
Configured Enterprise AIMS™ Control Plane
Live deployment of MS RiskTec's proprietary governance platform to ensure findings remain actively enforced in production.
- Live model inventory with automated owner assignments and version control
- Automated drift alerting and performance decay notifications
- Pre-loaded compliance control libraries mapped to ISO 42001 and FREE-AI
- Executive dashboard for ongoing board oversight and exception tracking
Why MS RiskTec Outperforms Traditional Audits
Traditional Big 4 consultancies charge enormous retainers for static slide decks that sit on a shelf. Generic scanners flag software bugs without understanding model risk. MS RiskTec delivers practitioner audit rigor with proprietary software enforcement.
| Audit Capability | MS RiskTec™ AI Audit + AIMS™ | Big 4 Consultancies | Generic Cloud Scanners |
|---|---|---|---|
| Continuous Software Enforcement | Yes — Enterprise AIMS™ deployed post-audit | No — static PowerPoint/PDF report only | Partial — alerts only, no governance workflows |
| Shadow GenAI & Rogue Model Discovery | Full forensic network, code & SaaS scan | Manual interview-based questionnaires | Limited to cloud infrastructure configurations |
| 5-Dimension Algorithmic Materiality Tiering | Proprietary 5D model mapped to regulations | Generic high/medium/low subjective scoring | CVE vulnerability scoring only |
| Practitioner Leadership | Former Bank CROs & Senior AI Engineers | Generalist junior consultants & checklists | Automated bot scripts with zero domain context |
| Statutory Banking Alignment (RBI FREE-AI / MRM) | Built explicitly for Indian BFSI & Global Acts | Generic adapted global frameworks | No regulatory banking mapping |
| Automated Drift, Fairness & Bias Testing | PSI drift, demographic parity & XAI built-in | Manual statistical sampling (if any) | None — cannot test model weights or fairness |
| Audit Delivery Timeframe | 3 to 4 Weeks with turnkey AIMS™ setup | 3 to 6 Months with high billable overhead | Instant scan, but leaves zero remediation |
The 4-Week Audit-to-AIMS™ Cadence
A structured, non-disruptive process that delivers total estate visibility and permanent software control in 30 days without slowing down your engineering teams.
Discovery, Scoping & Environment Reconnaissance
Non-disruptive access setup and whole-organization repository, cloud, and vendor mapping.
- Sign mutual NDAs, security boundaries, and audit scope agreements
- Deploy read-only access to code repositories (GitHub/GitLab) and cloud tenants
- Initial scan for sanctioned and unsanctioned model endpoints
- Stakeholder discovery sessions with Engineering, Risk, and Compliance leads
Forensic Scanning & Shadow AI Investigation
Comprehensive identification of rogue GenAI tools, prompt leakage, and third-party dependencies.
- Network egress analysis and SaaS credential mapping to detect Shadow AI
- Data ingestion audit: tracking sensitive PII and confidential IP exposure
- Adversarial security assessment: prompt injection & jailbreak vulnerability checks
- Compilation of the complete baseline Enterprise AI Inventory Manifest
Threat Modeling, 5D Scoring & Materiality Tiering
Rigorous algorithmic scoring across the 5 dimensions and gap analysis against regulatory frameworks.
- Population Stability Index (PSI) drift & performance degradation quantification
- Demographic parity, disparate impact, and fair-lending bias statistical evaluations
- 5-dimension scoring and system classification into Tiers 1 through 4
- Formulation of prioritized 30-60-90 day remediation roadmap
Executive Board Pack & Enterprise AIMS™ Handover
Final executive readout, delivery of statutory audit packs, and onboarding onto Enterprise AIMS™.
- Executive readout presentation to the Board Risk Committee, CRO, and CTO
- Delivery of timestamped, audit-ready compliance dossiers and exception logs
- Configuration of your Enterprise AIMS™ instance with role-based governance gates
- Transition to automated continuous drift monitoring and board oversight
Initiate an Enterprise AI Risk Assessment
Connect directly with our senior AI risk architects. We will scope your audit perimeter, establish mutual non-disclosure agreements, and outline a 4-week path to full estate visibility and Enterprise AIMS™ deployment.
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