GA — app.my-cc.io live · TAC Score (Trusted Agent Citascore) 0–1000 · 151 Compliance Packs · Hook Enforcement · 100% Fire Rate · SHA-256 Audit Chain
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Comparison Matrix · 2026

My-CC vs the leading AI governance platforms

An honest look at how My-CC compares to Credo AI, Collibra, IBM watsonx.governance, Microsoft Purview, AWS Bedrock Guardrails, OneTrust, and Holistic AI. Every competitor fact sourced from Rex's verified research file dated 2026-05-25. Nothing fabricated.

Sources: Competitor product pages, Forrester Wave AI Governance Q3 2025, Gartner Market Guide 2025, Rex research file 2026-05-25. Competitor pricing listed only where publicly verified.
Full Comparison Matrix

Seven dimensions across eight vendors

Rows are governance dimensions. My-CC column is highlighted. Tier 2 vendors (no dedicated page) are shown with the key contrast point only.

Dimension My-CC Credo AI Collibra IBM watsonx MS Purview AI AWS Bedrock OneTrust AI Holistic AI
Target buyer CCO / CISO + MSPs, regulated mid-market Chief AI Officer, Fortune 500 CISO Enterprise CDO / data governance teams, Fortune 500 ML / model risk teams in large banks, insurers, government Azure enterprise security and compliance teams AWS Bedrock GenAI developers, cloud-native enterprises Privacy / GRC teams with existing OneTrust deployments AI risk and ethics teams, enterprise compliance
Runtime enforcement Yes — hook at tool-call boundary, 100% fire rate, PreToolUse / PostToolUse No — assessment and workflow layer, not a tool-call runtime hook No — policy-driven assessments, AI Command Center scoring, not runtime hook No — ML lifecycle governance and factsheet documentation, not agentic runtime Partial — DLP and content classification, not per-tool-call agent enforcement Partial — content safety guardrails at inference time for Bedrock models No — documentation, assessment, and workflow tooling No — testing and risk assessment, not a runtime hook
Compliance packs 151 curated packs. Vertical groups with categorical floors. SOC 2 + GDPR + ISO 27001 bundled free with vertical group packs. Policy library: EU AI Act, NIST AI RMF, ISO 42001, SOC 2, HITRUST. Not purchasable vertical group packs. EU AI Act, NIST AI RMF via policy assessments. Not organized as purchasable compliance pack groups. OpenPages GRC integration. Traditional ML model risk documentation. Not a pack-based enforcement catalog. Bundled Azure compliance framework coverage. Not a purchasable per-regulation enforcement pack catalog. No compliance pack framework. Bedrock Guardrails is a content safety layer, not a regulation-specific enforcement catalog. Privacy regulation coverage broad (GDPR, CCPA, HIPAA etc.) via existing OneTrust platform. Bias, safety, and security testing framework. Not a vertical compliance pack catalog.
TAC Score portability 0–1000 TAC Score. Gold/Silver/Bronze Trust Signature. Cryptographically verifiable cross-org. Offline-verifiable passports. Org-internal risk scoring. Not a portable cross-org credential. AI Command Center provides internal scoring. Not a cross-org verifiable credential. AI Factsheets: internal model documentation. Not a portable cross-org credential. No equivalent. Azure security posture scores are tenant-internal. No equivalent. Guardrail configurations are account-internal. No equivalent. Risk assessments are org-internal. No equivalent. Testing reports are org-internal.
Pricing transparency Fully public. $4k–$7k/yr vertical group packs. $400 add-ons. $7,000 hard annual cap. Not public. Enterprise contract only. Starts at $170,000/yr (public). Enterprise contract for configuration. Not standalone. Bundled in IBM watsonx enterprise pricing. Bundled in Azure enterprise agreement (E5 tier). Usage-based, bundled with Amazon Bedrock inference costs. Not a standalone list price. Enterprise add-on to OneTrust. Not public. Not public. Enterprise contract only.
Partner / MSP channel White-label channel. MSPs provision sub-orgs, resell under own brand. Three-tier key isolation (PLATFORM > PARTNER > ORG). Direct enterprise sales. No documented MSP / white-label channel. Enterprise direct. No documented compliance-MSP white-label channel. IBM Business Partner program. Not a compliance-MSP white-label play. Microsoft CSP (Cloud Solution Provider) channel for Azure. Not a white-label AI governance play. AWS Partner Network. Not a white-label AI governance channel. OneTrust partner program. Not purpose-built for compliance MSP resell. No documented MSP or white-label channel.
Cloud dependency Cloud-agnostic. SDK runs in any environment. Push-receive telemetry; never polls customer infra. SaaS. Azure Marketplace available. Cloud portability not documented publicly. AWS, Azure, Google, Databricks, SAP, MLflow coverage. Multi-cloud catalog approach. IBM Cloud primary home. Third-party model integrations exist but IBM Cloud is the native environment. Azure-native. Zero incremental cost for Azure enterprise customers; minimal utility outside Azure. AWS-native. Zero friction for AWS Bedrock customers; tied to Bedrock inference architecture. SaaS. Cloud-agnostic in the sense that OneTrust is a standalone SaaS product. SaaS. Cloud-agnostic testing and assessment platform.

"Yes" = platform has this as a core, documented capability. "Partial" = related capability but not equivalent to My-CC's implementation. "No" = capability absent or not in this product's design scope. All facts sourced from Rex research file 2026-05-25 and public vendor documentation.

Tier 1 — Dedicated Comparison Pages

Three closest category competitors

These three vendors are most frequently named by enterprise buyers evaluating My-CC. Each has a full dedicated comparison page.

Tier 1
Credo AI
Responsible AI Governance
Forrester Wave Leader, Gartner Market Guide, Fast Company Most Innovative 2026. Strong assessment and workflow platform. Weakest on runtime enforcement, pricing transparency, TAC Score portability, and MSP channel.
Full comparison: My-CC vs Credo AI →
Tier 1
Collibra
Data + AI Governance
Fortune 500 data governance platform extending into AI via AI Command Center and AI Agent Registry. Starts at $170,000/yr, six-month average implementation. Strongest for enterprises already in their ecosystem. Pricing gap vs My-CC: 24x.
Full comparison: My-CC vs Collibra →
Tier 1
IBM watsonx.governance
ML Lifecycle Governance
Model-level governance: bias detection, fairness metrics, factsheet automation, OpenPages GRC integration — for banks and insurers with ML model risk requirements. Not a runtime agent enforcement layer. IBM Cloud-centric, not standalone-purchasable outside the IBM ecosystem.
Full comparison: My-CC vs IBM watsonx →
Tier 2 — Key Contrast Points

Four additional vendors in the category

These vendors appear on enterprise shortlists alongside My-CC. No dedicated comparison page — one key contrast point each.

Microsoft Purview AI Hub
Bundled inside Azure. Zero incremental cost for M365 E5 / Azure E5 customers — a genuine advantage. AI discovery, classification, lifecycle tracking, DLP integration. Azure-native; zero utility outside Microsoft ecosystem. No portable TAC Score, no compliance pack catalog, no runtime enforcement hook.
My-CC contrast: Cloud-agnostic. Works alongside or instead of Azure, not inside it. Portable TAC Score. 151 compliance packs. MSP channel.
AWS Bedrock Guardrails
Content safety guardrails for Bedrock applications — usage-based, bundled with inference costs. Zero-friction for AWS-native teams. Not a compliance pack framework, no TAC Score, no partner channel. Content safety tool, not a governance platform.
My-CC contrast: Framework-agnostic enforcement. Regulation-specific pack catalog (HIPAA, GDPR, PCI DSS, etc.). TAC Score. No AWS dependency.
OneTrust AI Governance
Extension of the OneTrust privacy and GRC platform. Natural upsell for existing OneTrust customers. Covers AI risk assessment, inventory, and policy management. Enterprise add-on pricing, not publicly disclosed. Documentation and workflow tool — not a runtime enforcement layer.
My-CC contrast: Runtime enforcement on every agent action. Per-agent TAC Score. 151 compliance packs. Standalone — no OneTrust account required.
Holistic AI
Full-lifecycle AI governance with notable depth in bias testing, safety evaluation, and security testing. Includes shadow AI discovery. Enterprise contract pricing only. Strong on testing and assessment depth — pre-deployment and monitoring layer, not a runtime enforcement hook.
My-CC contrast: Runtime hook enforcement. Portable TAC Score. 151 compliance packs. Partner / MSP channel. Transparent pricing.
Tier 3 — Different Category

Observability tools are not the same category

Several tools appear in AI governance searches but are fundamentally ML observability products, not governance platforms.

Not in the same category

Arize AI, WhyLabs, and Fiddler AI monitor models. They do not govern agents.

Arize AI, WhyLabs, and Fiddler AI monitor model behavior — drift, distribution shift, degradation. Valuable tools, but they ask: "Is my model performing as expected?" My-CC asks: "Does this agent have permission to take this action right now, and can we prove it to a regulator?" Monitoring and enforcement are complementary, not competing. Robust Intelligence (Cisco) is an AI security and red-teaming tool — same separate category.
Arize AI — LLM observability WhyLabs — data drift detection Fiddler AI — ML explainability Robust Intelligence (Cisco) — AI security / red-teaming

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