Framework Comparison Matrix
The one-stop compliance comparison. Map the overlap between 13 global standards — 8 traditional security & privacy frameworks (GDPR, SOC 2, ISO 27001, HIPAA, PCI DSS 4.0, NIST CSF 2.0, CCPA/CPRA, DPDP Act) plus 5 AI governance standards (NIST AI-RMF, EU AI Act, ISO/IEC 42001, MITRE ATLAS, OWASP LLM Top 10) — across 13 security control domains.
Every cell cites a specific article, clause, criterion, or technique ID from the framework's authoritative source — EUR-Lex, NIST publications, ISO catalogue, MITRE ATLAS, OWASP — so security teams can navigate from the matrix directly to the regulatory text.
all 13 frameworks
control objective overlap
(or 7% global revenue — Art 99)
obligations enforceable
AI Compliance Enforcement Timeline
When each AI compliance standard becomes enforceable. Sourced from the regulators' own publications (EUR-Lex, ISO catalogue, NIST press releases).
| Security Domain | GDPR EU | SOC 2 US | ISO 27001 International | HIPAA US | PCI DSS Global | NIST CSF US | CCPA US (California) | DPDP India | AI-RMF US | EU AI Act EU | ISO 42001 International | ATLAS International | OWASP LLM International |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
🔐 Access Control & Authentication Identity management, MFA, role-based access, privileged access management | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ⚠️ | 🟡 | 🟡 | 🟡 | 🟡 | — | 🟡 |
🛡️ Data Encryption & Protection Encryption at rest and in transit, key management, data classification, DLP | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | — | ⚠️ |
🌐 Network Security & Segmentation Firewall rules, network segmentation, VPC isolation, zero-trust architecture | 🟡 | ✅ | ✅ | 🟡 | ✅ | ✅ | — | — | ⚠️ | ⚠️ | ⚠️ | — | ⚠️ |
🔍 Vulnerability Management Vulnerability scanning, patching, CVE correlation, penetration testing | 🟡 | ✅ | ✅ | 🟡 | ✅ | ✅ | ⚠️ | ⚠️ | 🟡 | 🟡 | 🟡 | ✅ | ✅ |
🚨 Incident Response & Detection SIEM integration, alerting, breach notification, forensic investigation | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | 🟡 | 🟡 | 🟡 |
📋 Audit Logging & Monitoring Audit trails, log retention, SIEM forwarding, tamper-proof logging | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ⚠️ | ⚠️ | ✅ | ✅ | 🟡 | — | 🟡 |
👤 Data Privacy & Consent Data subject rights, consent management, data minimization, purpose limitation | ✅ | 🟡 | 🟡 | ✅ | 🟡 | 🟡 | ✅ | ✅ | 🟡 | ✅ | 🟡 | ⚠️ | 🟡 |
📊 Risk Assessment & Governance Risk frameworks, security policies, board-level reporting, compliance scoring | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | ✅ | 🟡 | 🟡 |
🖥️ Asset & Configuration Management Asset inventory, configuration baselines, change management, drift detection | ⚠️ | ✅ | ✅ | 🟡 | ✅ | ✅ | — | — | ✅ | ✅ | ✅ | 🟡 | 🟡 |
🔄 Business Continuity & Resilience Disaster recovery, backup strategy, availability SLAs, redundancy, failover | 🟡 | ✅ | ✅ | ✅ | 🟡 | ✅ | — | ⚠️ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 |
🤖 AI Workload Inventory & Classification Model cards, risk-class categorisation, AI system register, shadow-AI discovery | ⚠️ | 🟡 | 🟡 | ⚠️ | ⚠️ | 🟡 | — | — | ✅ | ✅ | ✅ | 🟡 | 🟡 |
🛡️ Adversarial ML Resilience Evasion, poisoning, model-extraction, backdoor & membership-inference defences | — | — | ⚠️ | — | — | ⚠️ | — | — | ✅ | ✅ | 🟡 | ✅ | ✅ |
💬 LLM Prompt & Output Security Prompt injection, output sanitisation, sensitive-info leakage, agentic-action review | ⚠️ | — | — | ⚠️ | — | — | ⚠️ | — | 🟡 | ✅ | ⚠️ | 🟡 | ✅ |
Penalty Comparison
Maximum penalties and real-world enforcement examples for each framework — the data security leaders need for board presentations and risk assessments.
| Framework | Max Penalty | Notable Example | Mandatory | Breach Notification |
|---|---|---|---|---|
| EU AI Act | €35M or 7% global revenue (Art 99) | GPAI obligations from 2025-08-02; high-risk from 2026-08-02 | Required | Serious incident: 15 days (Art 73) |
| GDPR | €20M or 4% global revenue | Meta €1.2B (2023) | Required | 72 hours |
| DPDP Act | ₹250 crore (~$30M) | Rules pending (2025) | Required | 72 hours |
| HIPAA | $1.5M/yr/category + criminal | Anthem $16M (2018) | Required | 60 days |
| PCI DSS | $5K–$100K/month | Target $292M (2013) | Required | Immediate |
| CCPA/CPRA | $7,500/violation (intentional) | Sephora $1.2M (2022) | Required | No fixed deadline |
| SOC 2 | No statutory fine | Revenue loss: $100K–$10M+ | Voluntary | Per policy |
| ISO 27001 | No statutory fine | Certification/contract loss | Voluntary | Per ISMS |
| NIST CSF | Contract termination (federal) | DoD contract loss: $1M–$100M+ | Voluntary | 72 hrs (CIRCIA) |
| NIST AI-RMF | None (voluntary guidance) | Cited by EO 14110 + OMB M-24-10 for federal AI procurement | Voluntary | Per MANAGE 2.2 playbook |
| ISO/IEC 42001 | Certification loss | Loss of EU AI Act conformity assumption (harmonised standard pathway Art 40) | Voluntary | Per Clause 10.1 nonconformity |
| MITRE ATLAS | N/A (reference taxonomy) | Used by NIST AI-RMF + EU AI Act guidance as adversarial-ML reference | Voluntary | Cite ATLAS technique IDs |
| OWASP LLM | N/A (guidance) | De-facto checklist for LLM-app secure-SDLC + red-team | Voluntary | Cite LLM01–LLM10 IDs |
Penalty Magnitude at a Glance
Maximum statutory penalty as percentage of global annual revenue — the metric boards actually care about. EU AI Act exceeds GDPR.
Certification Cost & Timeline
How much does compliance actually cost? Realistic cost ranges and timelines based on industry benchmarks for mid-market companies (50–500 employees).
3–6 months prep, 12 months observation, CPA firm audit
Stage 1 doc review + Stage 2 implementation audit, 3-year cert
Risk analysis, safeguard implementation, no formal certification
Varies by merchant level (SAQ for L2–L4, QSA for L1)
International AIMS certification (indicative). Stage 1 + Stage 2 audit with ANAB-accredited bodies (emerging since 2024). Maps to ISO 27001 ISMS structure — extend existing ISMS to AIMS.
* Costs reflect mid-market estimates (50–500 employees). Enterprise costs may be 2–5× higher. Automated platforms like EchelonGraph typically reduce preparation costs by 40–60%. NIST AI-RMF, EU AI Act, MITRE ATLAS, and OWASP LLM Top 10 are not certifiable — they are assessment / self-attestation / reference frameworks. EU AI Act conformity assessment for high-risk systems is performed by notified bodies (~€20K–€200K per system).
AI Compliance Topology
How the 5 AI compliance standards relate to each other and to the traditional frameworks they extend. Lines show structural or normative overlap.
Automated Gap Analysis
Our AI engine has mapped over 10,000 regulatory nodes globally. Let EchelonGraph automatically bridge your compliance gaps across all 13 frameworks simultaneously — including the 5 AI compliance standards (NIST AI-RMF, EU AI Act, ISO 42001, MITRE ATLAS, OWASP LLM Top 10) — showing exactly which controls you need to implement and in what priority order.
How EchelonGraph Automates Compliance
Continuous Scoring
Compliance engine evaluates 472+ controls (incl. 75 AI controls across NIST AI-RMF, EU AI Act, ISO 42001, MITRE ATLAS, OWASP LLM Top 10) every 5 minutes per tenant, scoring Pass/Fail/Partial/N-A with 30/60/90-day trending.
Cross-Framework Mapping
Implement one control, satisfy multiple frameworks. Our AI maps overlapping requirements — implement ISO 27001 A.5.15 and automatically satisfy SOC 2 CC6.1, HIPAA §164.312(a), and PCI DSS Req 7.
Evidence Collection
Automated evidence harvesting from cloud APIs. Generate audit-ready PDF/CSV compliance reports with per-control evidence, remediation guidance, and executive summaries.
Drift Detection
Real-time compliance drift alerts via WebSocket, webhook, and email. When configurations change and a score drops, you know within seconds — not days.
Multi-Region Coverage
Support for GDPR (EU), CCPA/CPRA (California), DPDP Act (India), ISMS-P (Korea), NIS2 (EU), DORA (financial sector), and more. Automatically enforce data residency requirements per jurisdiction.
Infrastructure Integration
Connects to AWS, GCP, and Azure via read-only credentials. Scans compute, storage, network, IAM, databases, and certificates — mapping findings to compliance controls in real time.
Authoritative Sources
Every framework, citation, penalty figure, and enforcement date on this page traces to a primary publication. Verify any number by following the source.
EchelonGraph publishes the underlying data behind every cell in this matrix so security and compliance teams can independently verify each figure. If you spot a citation that needs an update, email support@echelongraph.io.