TheTrustLayerforProductionAI.
Sherpa is not just another product, it's an AI Risk Center having 10 always-on Autonomous Governance Agents running on a shared event bus to proactively solve enterprise AI risks.
Continuous risk telemetry
Inline policy enforcement
Board-level risk index
10 always-on governance agents.
Sherpa operates a continuous fleet of specialized AI agents running on a shared event bus. Every request, model update, and incident is instantly analyzed, intercepted, and resolved.
PolicyEnforcement
LLMs bypass traditional firewalls, exposing enterprises to prompt injection and data exfiltration.
Validates model behaviour against active policies in real time, blocking malicious payloads before execution.
01 — THE GAP
AI risk is scattered across spreadsheets, tickets, and tribal knowledge.
Security teams track model risk in spreadsheets.
Compliance teams collect evidence manually.
Engineering has no visibility into downstream obligations.
02 — THE RISK CENTER
Eleven modules. One AI risk center.
Overview & Executive Command
Single pane of glass translating model telemetry, security alerts, and governance metrics into risk indices, board reports, and financial liability.
AI Governance
Model registry, lifecycle and DNA lineage, AIIA impact assessments, validation lab, agent IAM with kill switch, and runtime guardrails.
AI Gateway
Proxy layer with virtual keys, inline guardrails, caching, rate limits, and unified logging across commercial and open-source models.
MCP Gateway
Control plane for MCP servers and tools with HITL authorization gates over every agent invocation.
Security
Threat feed, scan center, attack-surface map, red-team lab, model arena, and policy firewall enforcement.
Compliance
Reg radar, frameworks catalog, controls registry, gap analysis, chained evidence vault, and policy lifecycle.
Risk & Response
Quantitative risk matrix, incident playbooks, tabletop exercises, remediation tracking, and regulator filings.
Vendors & Privacy
TPRM assessments, SLA monitoring, DSR rights execution, consent registry, and AIBOM provenance graph.
Data & Sustainability
Dataset registry, lineage and quality, PII redaction, plus carbon ledger and energy efficiency reporting.
Enterprise Intelligence
Compliance autopilot, narrative engine, peer benchmarking, and an asset-to-control knowledge graph.
Organization
IAM and RBAC governance, business continuity and BIA, ethics whistleblowing, committees, and GRC maturity tracking.
03 — GOVERNANCE FLOW
From shadow AI to continuous control.
04 — PLATFORM DEEP DIVE
Complete enterprise AI architecture.
Dashboard
Aggregates real-time data streams across model endpoints, gateway proxies, validation labs, and runtime agents.
NIST AI RMF (Govern 1.1, Manage 1.1); ISO 42001 (Clause 9.1)
Auditors inspect this screen during walkthroughs to verify that management maintains real-time visibility.
Tasks & Workflows
Centralized workflow engine converting compliance gaps into trackable work units with SLAs and escalation paths.
ISO 42001 (Clause 10.1); NIST AI RMF (Manage 2.2)
Evaluated during operational testing to prove AI risks trigger trackable remediation workflows.
ROI & Value
Quantitative engine measuring business impact by calculating saved audit hours and avoided regulatory fines.
Strategic business metric supporting ISO 42001 (Clause 6.1)
Reviewed by enterprise buyers to justify governance overhead against risk-adjusted savings.
03 — SURFACE AREA
One hundred forty screens, one consistent surface.
EU AI ACT · ARTICLE 72
Post-market surveillance, by default.
Continuous monitoring of deployed AI systems — drift, fairness, and incident telemetry routed to the right reviewer.
- 2mDrift Alertloan-advisor-v2 · feature-distribution shift +18%
- 14mThreshold Breachclaims-triage · accuracy 0.87 < 0.90
- 1hScheduled Reviewkyc-classifier · quarterly conformity
- 2hUser Complaintsupport-bot · case #4421 escalated
- 3hManual Reviewrisk-scorer-v3 · HITL queue cleared
- 4hPerformance Degradationdoc-extractor · p99 latency 412ms
04 — FRAMEWORKS
Pre-mapped to every framework that matters.
| Framework | Coverage |
|---|---|
| EU AI Act | Art. 6–7, 9, 10, 13, 14, 72 |
| ISO 42001 | Clause 6.1, 8.3, 9.1 — 38 Annex A controls |
| NIST AI RMF 1.0 | Govern · Map · Measure · Manage |
| GDPR | Art. 22, 35, 83 |
| SOC 2 | CC6.1 access · CC7.1 detection |
| ISO 27001 | A.8 infosec · A.15 supplier |
| OWASP LLM Top 10 | 10 vulnerability categories |
| MITRE ATLAS | 30+ adversarial ML techniques |
05 — ARCHITECTURE
Open source. Self-hosted or cloud.
sherpa/ dashboard/ # React 18 + TypeScript + Vite supabase/ # PostgreSQL + Edge Functions server/ # Node.js API sherpa/ # Python (FastAPI) docs/
Stack
AI RISK CENTER
Built for the era of GenAI and the EU AI Act.
EU AI Act Compliance
Automate compliance as regulatory frameworks shift to hard law with severe non-compliance penalties.
Secure GenAI Deployment
Deploy LLMs into production confidently while our agents continuously audit and secure them.
Continuous Governance
Meet internal security policies and NIST AI RMF standards without slowing down engineering.
ENTERPRISE SCALE
Built for the most regulated industries.
As generative AI crosses the chasm into production environments, highly regulated industries like Financial Services, Healthcare, and Defense Technology are being forced to choose between innovation and compliance. Sherpa bridges this gap.
Global AI Governance Market
Regulated Enterprise Deployments
Top-Tier Institutions Protected
ENTERPRISE PRICING
Transparent, scalable licensing.
Designed for predictable annual deployment with flexible scale based on your telemetry volume and agentic requirements.
Enterprise License
Annual deployment license for the core governance platform, including deployment architecture, shared event bus, and 2 base agents.
High-Volume Telemetry
Usage-based processing for high-volume environments. Billed per million inference telemetry events processed by the agents.
Modular Agents
Add additional autonomous agents (e.g., BiasMonitor, DriftDetection) and multi-region deployment capabilities as your risk requirements scale.
DEPLOYMENT STRATEGY
Seamless integration pathways.
Dedicated Enterprise Support
White-glove onboarding for CISOs and Chief Data Officers, ensuring alignment with your internal risk and compliance frameworks.
Native ML Ops Integrations
Pre-built connectors for Databricks, AWS Bedrock, and HuggingFace to instantly capture models at the point of deployment.
Zero-Friction Shadow Mode
Run Sherpa in non-blocking shadow mode alongside your existing endpoints to prove immediate value without risking production downtime.
06 — COLLABORATION & PARTNERSHIP
Contact Us
For questions, requests, or complaints — and for collaboration or partnership enquiries.
Run AI risk like an enterprise.
One risk center for models, agents, vendors, and data — deployed in your cloud, defensible in any audit.