You will get AegisFlow — Enterprise AI Governance & Compliance Platform
Project details
AegisFlow is an enterprise AI Governance, Compliance, and Observability platform designed to help organizations securely adopt and manage GenAI systems across multiple AI vendors including OpenAI, Claude, Gemini, Grok, Azure OpenAI, and custom APIs.
The platform provides centralized AI monitoring, prompt analytics, compliance enforcement, vendor observability, encrypted credential management, and real-time telemetry through a modern enterprise-grade dashboard.
Core capabilities include:
• Multi-LLM integrations
• Prompt logging & monitoring
• PII / PHI detection
• Prompt injection detection
• AI usage analytics
• Vendor performance monitoring
• RBAC & SSO
• Real-time WebSocket monitoring
• Policy engine & audit logs
• Kubernetes-ready deployment architecture
AegisFlow is designed for enterprises, healthcare organizations, SaaS companies, fintechs, and regulated industries requiring secure, scalable, and compliant AI infrastructure.
The platform provides centralized AI monitoring, prompt analytics, compliance enforcement, vendor observability, encrypted credential management, and real-time telemetry through a modern enterprise-grade dashboard.
Core capabilities include:
• Multi-LLM integrations
• Prompt logging & monitoring
• PII / PHI detection
• Prompt injection detection
• AI usage analytics
• Vendor performance monitoring
• RBAC & SSO
• Real-time WebSocket monitoring
• Policy engine & audit logs
• Kubernetes-ready deployment architecture
AegisFlow is designed for enterprises, healthcare organizations, SaaS companies, fintechs, and regulated industries requiring secure, scalable, and compliant AI infrastructure.
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Localization, Performance OptimizationWhat's included $50,000
These options are included with the project scope.
$50,000
- Delivery Time 3 days
- Number of Revisions 3
- Design Customization
- Responsive Design
- Source Code
Optional add-ons
You can add these on the next page.
Infrastructure
+$5,000About Indrajeet
Director | Enterprise AI Systems & LLM Engineer | Morgan Stanley
Pune, India - 11:38 am local time
With 8+ years in software engineering and AI systems, and currently serving as Technology Director at Morgan Stanley, I specialise in the full lifecycle of enterprise LLM deployment: from RAG pipeline architecture and multi-agent system design, through adversarial validation and hallucination detection, to governance frameworks, compliance engines, and real-time monitoring dashboards.
My flagship project, AegisFlow, is a production-hardened AI governance control plane that integrates 12 LLM vendors (OpenAI, Anthropic, Gemini, xAI, Azure OpenAI, Mistral, Cohere, and more) via their real Admin APIs. It ships with an 8-detector PII/PHI/prompt-injection compliance engine, Fernet KMS-wrapped credentials vault, live WebSocket monitoring, RBAC/SSO/SAML, SIEM egress, Prometheus metrics, and 60+ API endpoints — validated with 51/51 passing tests.
What I deliver for clients:
LLM compliance & governance layers — PII/PHI detection, prompt injection defence, audit logs, RBAC, SIEM integration
RAG pipeline validation — hallucination detection, retrieval accuracy audits, RAG poisoning resistance, SHAP/LIME explainability
Adversarial & red-team testing — jailbreak simulation, prompt injection, model drift monitoring, fairness audits
AI monitoring dashboards — real-time telemetry, per-vendor analytics, cost tracking, circuit breaker observability
End-to-end AI system builds — FastAPI backends, React frontends, MongoDB, Redis, WebSockets, Docker, Kubernetes
Enterprise AI adoption — safe rollout of ChatGPT, Claude, GitHub Copilot, Grok, and M365 Copilot at scale
I work at the intersection of AI engineering and compliance — making sure the systems I build are not just capable, but trustworthy enough for regulated industries like finance and healthcare.
Steps for completing your project
After purchasing the project, send requirements so Indrajeet can start the project.
Delivery time starts when Indrajeet receives requirements from you.
Indrajeet works on your project following the steps below.
Revisions may occur after the delivery date.
50% upfornt
client can give 50% upfornt if need to be deployed by me