Why CIMCON’s AI Lifecycle Management Suite?
Most firms track AI risk the same way they used to track spreadsheets: manually, inconsistently, and after the fact. That doesn’t hold up once GenAI tools and AI Agents are running dozens of workflows across the firm, each with its own data sources, outputs, and failure modes that don’t behave like traditional models.
CIMCON’s AI Lifecycle Management suite governs AI end to end, with the same five modules used across our platform now purpose-built for AI: Discovery to find every model, LLM, and agent in use across the firm, Inventory to track them in one system of record, Change Management to control what changes and when, AI Agents to run compliance work inside a validated framework instead of a black box, and AIValidator to test GenAI, LLMs, and traditional models against the metrics that actually matter for each. Every AI Agent and its outputs are automatically captured within this governed lifecycle, so nothing runs ungoverned and nothing goes untracked.
“The AI RMF refers to an AI system as an engineered or machine-based system that can, for a given set of objectives, generate outputs such as predictions, recommendations, or decisions influencing real or virtual environments.”
(NIST AI RMF)
Features
AI Agents
Compliance Work That Runs Inside a Validated Framework
- Deploying AI Agents without a validated, auditable framework isn’t an option in regulated industries. CIMCON’s pre-built Agents handle document generation, policy gap analyses, and third-party vendor assessments out of the box, with every output tested and traceable, not taken on faith.
- Pre-built Agents for SR 11-7 and SS1/23 policy gap analyses, vendor assessments, and more, ready with no AI expertise required
- Build custom Agents for any document generation or compliance workflow in minutes
- Every Agent operates inside a built-in validation framework, so outputs are audit-ready by default
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AIValidator
Test GenAI, LLMs & Traditional Models
- GenAI and AI Agents need different tests than a traditional regression model. AIValidator reverse-engineers its testing suite from regulatory requirements, covering hallucination detection, source attribution, and adversarial testing for GenAI alongside drift, fairness, and interpretability testing for numeric models.
- RAG-based source attribution and hallucination detection for LLMs
- Prompt injection, bias, and harmful content testing for GenAI systems
- Data drift, fairness, interpretability, and performance benchmarking for numeric models
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Discovery
Find Every Model, LLM & Agent in Use
- You can’t govern AI you don’t know exists. Discovery scans your environment for AI usage, including third-party apps quietly running models behind the scenes, and flags risk indicators like security vulnerabilities in the libraries a model depends on.
- Uncover hidden high-risk models, LLMs, and AI Agents across your network and cloud
- Identify AI usage embedded in third-party applications through patented detection technology
- Risk-tier every model by type, size, code quality, and other complexity indicators
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Inventory
One System of Record for Every Model
- Firms that track AI models across spreadsheets and disconnected tools lose visibility fast. Inventory gives Risk teams a single, standardized view of every model, LLM, and agent, along with its owner, risk rating, test results, and compliance status.
- Comprehensive documentation: test results, findings, and compliance status in one view
- Dynamic forms that apply jurisdiction-based regulatory requirements automatically
- Automated workflows that trigger notifications, approvals, and recertifications
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Change Management
Track Every Change, Every Time
- Regulators increasingly expect transparency and accountability for who develops, owns, and changes AI and GenAI models. Change Management sets enterprise-wide controls, flags high-risk changes before they ship, and generates audit-ready documentation automatically.
- Intelligent monitoring that distinguishes high-risk changes from routine noise
- Track model frequency of use, an SS1/23 requirement
- Automated report generation for user access, permissions, and change history
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Additional Services
Consulting Services
- AI Policy Preparation & Review
- SOP Preparation
- LLM/AI Model Development
- LLM/AI Model Validation and Testing
Validation as a Service
- CIMCON's AI Agents generate your compliance documentation — from SR 11-7 and SS1/23 policy gap analyses to 3rd party vendor assessments and spreadsheet analysis reports — then our compliance experts provide human-in-the-loop review and sign-off
- The result: fully executed, audit-ready compliance packages delivered faster and at a fraction of traditional costs
- Available for AI models, GenAI & LLM systems, automated workflows, and spreadsheet environments
Resources
AI Risk Management Policy
Leveraging collective wisdom from experts in the domain, regulatory recommendations, and our 25+ years of experience, this policy outlines step by step recommendations for AI & GenAI Risk Assessment, Controls, Testing, Monitoring, Compliance Reporting.
Why EUC Risk Matters
EUC risk, often seen as errors or confidential data loss, can have a material impact. Based on our experience with hundreds of customers, this white paper outlines how to understand your risk level, implement best practices, and align stakeholders on Why EUC Risk Matters?
