RoutineMetric
Cybersecurity & Data Privacy• CISA ZTMM 2.0 / OMB M-22-09

CISA Zero Trust Maturity Model (ZTMM 2.0) & OMB M-22-09 Readiness Calculator

Assess enterprise cybersecurity maturity across the Cybersecurity and Infrastructure Security Agency's (CISA) five core Zero Trust pillars (Identity, Devices, Networks, Applications & Workloads, Data) and three cross-cutting capabilities. Audit alignment against statutory OMB Memorandum M-22-09 federal mandates, pinpoint critical security gaps, and synthesize an audit-ready executive transition memorandum.

Composite ZTA Maturity

59%

Stage Status:Initial (Stage 2)
OMB M-22-09 Mandates

5 / 6

Federal Status:Substantial Alignment
Pillar Maturity Spectrum

Identity: 67%

Networks: 58%Devices: 67%
Apps: 58%Data: 50%
Cross-Cutting: 56%
Identified POA&M Gaps

6

0 High-Risk Stage 1 items require immediate architectural remediation.

Organizational Assessment Profile & Architecture Presets

Quick Load:
Filter Pillar:
identity

1.1 User Authentication & Factors

Current Stage:Advanced (Stage 3)

Evaluates multi-factor authentication (MFA) resilience against adversary-in-the-middle (AiTM) phishing and password-based attacks.

Stage 1: Traditional

Static passwords with optional SMS or phone voice call OTP. Vulnerable to interception and credential stuffing.

Stage 2: Initial

Standard MFA via mobile push apps or TOTP software tokens deployed on privileged or select user accounts.

Stage 3: Advanced

Phishing-resistant MFA (FIDO2 / WebAuthn, PIV / CAC smart cards) mandated enterprise-wide across 100% of staff and contractors.

Stage 4: Optimal

Continuous, risk-adaptive, passwordless authentication combining hardware FIDO2 tokens with real-time biometric and behavioral context.

identity

1.2 Identity Lifecycle & Credential Provisioning

Current Stage:Advanced (Stage 3)

Measures automation and velocity in onboarding, account modifications, and immediate role de-provisioning.

Stage 1: Traditional

Manual account creation via ticket requests and static AD entries. Account offboarding is delayed and prone to orphan accounts.

Stage 2: Initial

Centralized cloud identity provider (IdP) directory synchronizing with HR systems. Periodic manual sweeps for inactive accounts.

Stage 3: Advanced

Automated lifecycle workflows using SCIM and Just-in-Time (JIT) provisioning. Immediate automated deactivation upon employee separation.

Stage 4: Optimal

Dynamic ephemeral credentials generated on-demand with automated short lifetimes (TTL < 1 hour) and machine-learning anomaly revoking.

identity

1.3 Authorization & Access Control Policies

Current Stage:Advanced (Stage 3)

Determines how authorization decisions are evaluated: network-centric versus attribute and contextual risk.

Stage 1: Traditional

Perimeter and network-based trust. Once connected via VPN or local LAN, wide access to network subnets is granted.

Stage 2: Initial

Role-Based Access Control (RBAC) enforced within specific applications, though network access remains broadly permissive.

Stage 3: Advanced

Attribute-Based Access Control (ABAC) evaluating user identity, group membership, device posture, and geolocation at login.

Stage 4: Optimal

Continuous, real-time transaction-level authorization assessing live session behavior, device risk telemetry, and threat feeds.

identity

1.4 Identity Governance & Privileged Access Management (PAM)

Current Stage:Advanced (Stage 3)

Controls elevated administrative entitlements, privileged credentials, and periodic compliance attestation.

Stage 1: Traditional

Static domain admin accounts with permanent high-level privileges. Infrequent, manual access certification audits.

Stage 2: Initial

Dedicated administrative accounts separate from standard users with scheduled bi-annual entitlement recertifications.

Stage 3: Advanced

Centralized PAM vaulting with session recording, multi-person approval workflows, and automated quarterly access certifications.

Stage 4: Optimal

Zero Standing Privileges (ZSP) with dynamic Just-In-Time (JIT) elevation, continuous behavioral monitoring, and automated revocation.

devices

2.1 Asset Inventory & Real-Time Discovery

Current Stage:Advanced (Stage 3)

Evaluates comprehensive tracking and automated discovery of all corporate, BYOD, IoT, and cloud endpoints.

Stage 1: Traditional

Manual spreadsheets or static CMDB updated periodically. Unmanaged rogue devices can join network segments undetected.

Stage 2: Initial

Centralized Mobile Device Management (MDM) or agent-based inventory capturing devices during scheduled network discovery scans.

Stage 3: Advanced

Continuous automated asset discovery and passive network listening mapping all hardware, OS builds, and active network interfaces in real time.

Stage 4: Optimal

Unified real-time asset graph with cryptographic hardware root-of-trust (TPM 2.0 / Apple Secure Enclave) attestation for every endpoint.

devices

2.2 Device Posture & Health Assessment

Current Stage:Advanced (Stage 3)

Assesses whether endpoint security state (OS patch level, firewall, disk encryption) gates access to corporate resources.

Stage 1: Traditional

Perimeter assumption: any machine with network connectivity is assumed healthy. Health checks limited to annual audits.

Stage 2: Initial

Device posture inspected only at initial VPN or SSO login (e.g. checking if OS version meets minimum threshold).

Stage 3: Advanced

Continuous posture assessment evaluating disk encryption, patch latency, firewall status, and local security agent health.

Stage 4: Optimal

Real-time conditional access enforcing immediate session termination, network micro-quarantine, or step-up auth upon posture degradation.

devices

2.3 Endpoint Threat Detection & Response (EDR)

Current Stage:Advanced (Stage 3)

Measures capability to detect, analyze, and contain advanced cyber threats on workstations and servers.

Stage 1: Traditional

Legacy signature-based antivirus software with daily or weekly definition file updates. No behavioral detection.

Stage 2: Initial

Modern EDR deployed on critical infrastructure and high-value servers, but unmanaged or legacy machines lack coverage.

Stage 3: Advanced

Enterprise-wide EDR deployed across 100% of workstations and servers with centralized SOC integration and threat hunting feeds.

Stage 4: Optimal

Autonomous Extended Detection & Response (XDR) with automated endpoint isolation, dynamic memory dump, and automated rollback playbooks.

devices

2.4 Mobile & Remote Device Management

Current Stage:Advanced (Stage 3)

Controls BYOD, mobile devices, and remote worker endpoints accessing corporate data.

Stage 1: Traditional

Unmanaged personal devices permitted via standard IMAP/ActiveSync with no enterprise control or selective wipe capability.

Stage 2: Initial

Standard MDM enrollment required for mobile email; basic PIN requirements and full device wipe enabled upon loss.

Stage 3: Advanced

Enterprise Mobile Application Management (MAM) with encrypted containerization, data leakage controls, and selective enterprise wipe.

Stage 4: Optimal

Zero-touch cryptographic enrollment, hardware-enforced micro-virtualization, and attestation-backed ephemeral workspace sessions.

networks

3.1 Network Segmentation & Micro-Perimeters

Current Stage:Initial (Stage 2)

Measures isolation of workloads and prevention of adversary lateral movement across the enterprise.

Stage 1: Traditional

Flat internal network architecture where compromised endpoints can freely scan and access other servers and subnets.

Stage 2: Initial

Macro-segmentation dividing network into coarse zones (DMZ, Corporate LAN, Server Farm) via internal perimeter firewalls.

Stage 3: Advanced

Microsegmentation implemented across data centers and cloud VPCs, isolating individual application tiers and database clusters.

Stage 4: Optimal

Software-Defined Perimeter (SDP) and dynamic micro-perimeters enforced per-process/flow; default-deny isolation between all workloads.

networks

3.2 Network Traffic Encryption (TLS 1.3 & mTLS)

Current Stage:Advanced (Stage 3)

Evaluates cryptographic protection of data-in-transit across internal, cloud, and cross-boundary network flows.

Stage 1: Traditional

Internal network traffic is largely unencrypted (cleartext HTTP, LDAP, Telnet, NFS) under the assumption that LAN is secure.

Stage 2: Initial

TLS 1.2+ enforced for external customer portals; internal web services use HTTPS but legacy cleartext protocols remain on LAN.

Stage 3: Advanced

Universal TLS 1.3 enforced across all internal and external communication; legacy SSL/TLS 1.0/1.1 protocols strictly deprecated.

Stage 4: Optimal

Mutual TLS (mTLS) enforced across all inter-service mesh flows with automated ephemeral cryptographic certificate rotation.

networks

3.3 Network Architecture & Routing Resilience

Current Stage:Initial (Stage 2)

Examines dynamic routing, software-defined control, and resilience against DDoS and routing manipulation.

Stage 1: Traditional

Static network topologies with hardcoded IP routes, manual failover procedures, and single points of failure.

Stage 2: Initial

Centralized network monitoring with manual load balancer failover and redundant physical circuits.

Stage 3: Advanced

Software-Defined Networking (SD-WAN / SDN) dynamically shaping traffic based on real-time latency, security posture, and load.

Stage 4: Optimal

Self-healing zero trust mesh network with dynamic path selection, automated DDoS mitigation, and multi-region failover.

networks

3.4 Protective DNS (PDNS) & Name Resolution

Current Stage:Optimal (Stage 4)

Measures DNS security, encryption of lookups, and real-time defense against malicious command-and-control (C2) domains.

Stage 1: Traditional

Unencrypted recursive DNS queries sent to default ISP or internal DNS servers without malicious domain blocking.

Stage 2: Initial

Centralized internal DNS with commercial category filtering; lookups between endpoints and resolvers remain unencrypted.

Stage 3: Advanced

Encrypted DNS (DNS-over-HTTPS / DNS-over-TLS) deployed enterprise-wide with centralized logging and known threat feed blocking.

Stage 4: Optimal

Enterprise Protective DNS (PDNS) integrated with CISA / NSA federal threat feeds, real-time algorithmic domain sinkholing, and automated response.

apps

4.1 Application Access & ZTNA Delivery

Current Stage:Advanced (Stage 3)

Assesses how employees and contractors access web apps, APIs, and administrative consoles without broad network tunneling.

Stage 1: Traditional

Full-tunnel corporate VPN required to access internal apps, exposing the entire internal subnet upon connection.

Stage 2: Initial

Reverse proxy or secure web portal hosting select web applications; legacy client-server apps still require VPN.

Stage 3: Advanced

Identity-Aware Proxy (IAP) / Zero Trust Network Access (ZTNA) delivering application-level access over the public internet without VPN.

Stage 4: Optimal

Micro-segmented application delivery where every API endpoint and microservice continuously verifies user and workload token context.

apps

4.2 Application Security & DevSecOps Integration

Current Stage:Advanced (Stage 3)

Measures vulnerability detection in source code, deployment pipelines, and active runtime application defense.

Stage 1: Traditional

Perimeter Web Application Firewall (WAF) with manual, ad-hoc penetration tests performed only annually.

Stage 2: Initial

Automated Static (SAST) and Dynamic (DAST) analysis integrated into CI/CD deployment pipelines for critical software releases.

Stage 3: Advanced

Comprehensive DevSecOps pipelines with automated container scanning, secret detection, and automated build gating on high CVEs.

Stage 4: Optimal

Continuous Runtime Application Self-Protection (RASP / eBPF) actively detecting in-memory zero-day exploits and auto-mitigating vulnerabilities.

apps

4.3 Workload Architecture & Immutable Infrastructure

Current Stage:Initial (Stage 2)

Examines containerization, configuration drift prevention, and cryptographic workload attestation.

Stage 1: Traditional

Long-lived bare-metal servers or VMs maintained via manual SSH patching; configuration drift is widespread.

Stage 2: Initial

Standardized virtual machine images and infrastructure-as-code (IaC) templates with scheduled maintenance rebuilds.

Stage 3: Advanced

Immutable container infrastructure where containers are destroyed rather than patched; container images are signed cryptographically.

Stage 4: Optimal

Ephemeral serverless and microservice workloads attested via cryptographic workload identities (SPIFFE/SPIRE) with mTLS service mesh.

apps

4.4 Software Supply Chain Security & SBOM

Current Stage:Advanced (Stage 3)

Evaluates tracking of open-source libraries, Software Bill of Materials (SBOM), and build artifact provenance.

Stage 1: Traditional

Open-source dependencies downloaded directly without auditing or tracking; third-party software risks are unmonitored.

Stage 2: Initial

Software Dependency Scanning (SCA) alerting developers to known CVEs in direct open-source package manifests.

Stage 3: Advanced

Automated generation and archiving of standardized machine-readable SBOMs (CycloneDX / SPDX) and binary code signing.

Stage 4: Optimal

Full SLSA Level 3+ provenance attestation, hermetic reproducible builds, and automated policy gating preventing unsigned code execution.

data

5.1 Data Discovery & Enterprise Classification

Current Stage:Initial (Stage 2)

Measures visibility into sensitive data (PII, PHI, CUI, IP) across cloud buckets, databases, and unstructured shares.

Stage 1: Traditional

Data is unstructured across file shares and databases with no classification tags or metadata schemas.

Stage 2: Initial

Manual data classification policies where data owners apply tags (e.g. 'Confidential', 'Public') to select shared documents.

Stage 3: Advanced

Automated data discovery scanners continuously cataloging and labeling sensitive data across cloud and on-prem repositories.

Stage 4: Optimal

Real-time AI-driven content classification tagging data at creation with dynamic cryptographic metadata that follows the data wherever copied.

data

5.2 Data Encryption & Key Management (KMS)

Current Stage:Advanced (Stage 3)

Evaluates cryptographic protection of data at-rest, in-transit, and in-use with enterprise-controlled keys.

Stage 1: Traditional

Data at rest is unencrypted or relies solely on generic cloud vendor defaults with shared keys. Key rotation is manual or absent.

Stage 2: Initial

Standard database-level encryption (TDE) and BitLocker enabled on servers and corporate laptops using provider-managed keys.

Stage 3: Advanced

Universal encryption at-rest and in-transit using Customer-Managed Encryption Keys (CMEK / BYOK) hosted in hardware FIPS 140-3 HSMs.

Stage 4: Optimal

Ubiquitous encryption at rest, in transit, and in-use (Confidential Computing enclaves) with automated dynamic key rotation and envelope encryption.

data

5.3 Data Loss Prevention (DLP) & Exfiltration Controls

Current Stage:Advanced (Stage 3)

Measures technical controls preventing unauthorized exfiltration of corporate data across endpoints, email, and cloud APIs.

Stage 1: Traditional

No formal DLP controls; users can freely copy files to external USB drives, personal cloud storage, or unmonitored web uploads.

Stage 2: Initial

Basic email gateway DLP searching for regular expression patterns (credit card numbers, SSNs) with administrative alerts.

Stage 3: Advanced

Endpoint and Cloud Access Security Broker (CASB) DLP actively blocking unauthorized uploads to unsanctioned SaaS apps.

Stage 4: Optimal

Context-aware dynamic Rights Management (DRM) enforcing persistent encryption, remote revocation, and watermarking even after download.

data

5.4 Data Lifecycle Management & Defensible Disposition

Current Stage:Initial (Stage 2)

Evaluates automated data retention, privacy minimization, and secure cryptographic disposal.

Stage 1: Traditional

Data is retained indefinitely; no automated purge processes exist, maximizing legal discovery and breach exposure.

Stage 2: Initial

Documented corporate retention schedules with periodic manual archive and deletion reminders sent to department heads.

Stage 3: Advanced

Automated retention policies in cloud repositories purging or archiving obsolete records according to statutory schedules.

Stage 4: Optimal

Automated cryptographic erasure and privacy-preserving data shredding ensuring provable destruction of sensitive assets.

cross cutting

C.1 Visibility & Analytics

Current Stage:Advanced (Stage 3)

Evaluates centralized log ingestion, cross-pillar telemetry correlation, and user/entity behavioral analytics (UEBA).

Stage 1: Traditional

Siloed log storage on individual servers with inconsistent retention. Auditing is strictly reactive following incidents.

Stage 2: Initial

Centralized SIEM collecting logs from firewalls, servers, and identity providers with basic threshold-based alerting.

Stage 3: Advanced

Enterprise telemetry pipeline integrating identity, endpoint, and network telemetry with automated User & Entity Behavior Analytics (UEBA).

Stage 4: Optimal

Real-time AI/ML threat analytics synthesizing multi-pillar telemetry into unified enterprise risk scores with automated attack graph modeling.

cross cutting

C.2 Automation & Orchestration (SOAR)

Current Stage:Initial (Stage 2)

Measures automated security workflows, playbooks, and self-healing zero trust response capabilities.

Stage 1: Traditional

All investigation, analysis, and containment activities require manual human intervention by security analysts.

Stage 2: Initial

Basic operational scripts for common tasks (e.g. resetting passwords or adding IP addresses to firewall drop lists).

Stage 3: Advanced

Security Orchestration, Automation, and Response (SOAR) platform executing standardized containment playbooks automatically.

Stage 4: Optimal

Autonomous self-healing infrastructure dynamically isolating compromised nodes, revoking tokens, and re-routing traffic without human delay.

cross cutting

C.3 Governance & Zero Trust Strategy

Current Stage:Advanced (Stage 3)

Assesses enterprise architecture alignment, executive steering, and continuous compliance auditing.

Stage 1: Traditional

Security managed in silos as an IT cost center. Policies are paper-based documents updated only during regulatory audits.

Stage 2: Initial

Formal Zero Trust strategy published with multi-year roadmap and executive sponsorship from CISO and CIO.

Stage 3: Advanced

Cross-functional Zero Trust steering committee meeting monthly to review capability metrics and track POA&M milestones.

Stage 4: Optimal

Continuous programmatic policy-as-code validation ensuring that any system deviating from Zero Trust baseline cannot deploy.

Navigating CISA Zero Trust Maturity Model (ZTMM 2.0) & OMB M-22-09 Federal Mandates

The paradigm of enterprise perimeter security—once anchored in the presumption that any user or packet residing behind an internal corporate firewall could be implicitly trusted—has suffered catastrophic collapse. In the modern threat landscape defined by credential theft, sophisticated supply-chain infiltrations, and Advanced Persistent Threats (APTs), modern cybersecurity architectures mandate a single, uncompromising operational doctrine: “Never Trust, Always Verify.”

To provide government agencies and critical infrastructure providers with an authoritative implementation roadmap, the Cybersecurity and Infrastructure Security Agency (CISA) published the Zero Trust Maturity Model (ZTMM) Version 2.0. Designed to operationalize National Institute of Standards and Technology guidance (NIST SP 800-207) and satisfy White House Executive Order 14028, ZTMM 2.0 serves as the definitive global benchmark for measuring an organization's journey from vulnerable, legacy perimeter architectures to continuous, risk-adaptive Zero Trust Architecture (ZTA).

The Five Core Pillars of CISA ZTMM 2.0

CISA decomposes Zero Trust into five distinct, interdependent technological pillars. True resilience requires synchronized progression across all five domains; an organization with optimal identity controls remains acutely vulnerable if internal networks remain flat or data assets remain unencrypted:

1. Identity Pillar

Identity is the new enterprise perimeter. In ZTMM 2.0, identity maturity demands the elimination of passwords in favor of phishing-resistant MFA (FIDO2 / WebAuthn and PIV), dynamic Just-In-Time (JIT) credential provisioning, Attribute-Based Access Control (ABAC), and continuous session verification driven by live user telemetry.

2. Devices Pillar

Enterprises must maintain continuous real-time inventory of all physical and virtual endpoints. Devices are cryptographically attested via hardware roots of trust (TPM 2.0), monitored by enterprise-wide Endpoint Detection & Response (EDR), and subjected to real-time conditional access checks that quarantine unhealthy machines instantly.

3. Networks Pillar

Internal networks must transition from flat subnets to granular microsegmentation and Software-Defined Perimeters (SDP). All data in transit must be encrypted with TLS 1.3, service-to-service communications must enforce mTLS, and DNS queries must route through encrypted Protective DNS (PDNS).

4. Applications & Workloads Pillar

Monolithic VPN access is phased out in favor of Identity-Aware Proxies (IAP) and Zero Trust Network Access (ZTNA). Software pipelines incorporate comprehensive DevSecOps with automated container signing, software bill of materials (SBOM) generation, and runtime application self-protection (RASP).

5. Data Pillar

Data is the ultimate asset protected by Zero Trust. Organizations must implement automated discovery and classification of sensitive records (CUI, PII), universal encryption at-rest and in-transit utilizing dedicated Key Management Services (KMS), and contextual Data Loss Prevention (DLP) that prevents exfiltration to unapproved cloud repositories.

The Four Evolutionary Stages of Zero Trust Maturity

CISA ZTMM 2.0 categorizes capability progression across four distinct evolutionary stages:

  • Traditional (Stage 1): Characterized by manual configurations, static perimeter firewalls, password-based authentication, flat internal LANs, and siloed security event logging.
  • Initial (Stage 2): Introduces centralized directories, baseline mobile device management (MDM), macro-segmentation between DMZs and corporate subnets, and automated deployment scripts.
  • Advanced (Stage 3): Enforces phishing-resistant MFA, enterprise-wide EDR, automated attribute-based access control (ABAC), microsegmentation, and centralized Security Orchestration, Automation, and Response (SOAR).
  • Optimal (Stage 4): Fully dynamic, autonomous zero trust operation. Continuous behavioral evaluation, real-time machine learning threat modeling, zero standing privileges (ZSP), ephemeral cryptographic workload attestation, and self-healing automated isolation.

Federal Compliance: OMB Memorandum M-22-09 Statutory Milestones

For federal civilian agencies and contractors supporting the Department of Defense (DoD) or defense supply chain, Zero Trust is not merely an architectural recommendation—it is a binding statutory mandate under OMB Memorandum M-22-09(“Moving the U.S. Government Toward Zero Trust Cybersecurity Principles”).

Federal compliance audits center upon six critical technical milestones:

  1. Phishing-Resistant MFA: Mandatory deployment of FIDO2 or PIV credentials for all agency staff and contractors, specifically disabling legacy phone OTP and push notifications vulnerable to adversary fatigue attacks.
  2. Enterprise-Wide EDR: 100% deployment of continuous endpoint telemetry feeding directly into CISA's federal CDM visibility dashboard.
  3. Universal TLS 1.3: Systematic deprecation of all legacy cryptographic protocols (TLS 1.0, 1.1, SSL) and elimination of unencrypted HTTP traffic within internal government agency networks.
  4. Protective DNS (PDNS): Agency-wide enforcement of encrypted DNS protocols connected to CISA-managed Protective DNS feeds to preemptively neutralize command-and-control (C2) domains.
  5. Internet-Accessible Internal Apps: Phasing out legacy network VPNs by publishing enterprise applications securely to the public internet via Identity-Aware Proxies.
  6. Data Categorization & KMS: Comprehensive auditing of sensitive federal data stores coupled with automated encryption leveraging modern Key Management Services (KMS).

Constructing an Audit-Ready Plan of Action and Milestones (POA&M)

When an organization or federal supplier identifies gaps between its current posture and CISA ZTMM 2.0 Advanced standards, it must document those deficiencies in a formal Plan of Action and Milestones (POA&M). A defensible POA&M specifies:

  • The specific CISA pillar and capability currently deficient at Stage 1 (Traditional) or Stage 2 (Initial).
  • The concrete technical remediation strategy (e.g. migrating from legacy SMS OTP to FIDO2 YubiKeys, or deploying service mesh mTLS).
  • Statutory milestone dates (typically 30, 90, and 180 days) for phased rollout and architectural verification.
  • Designated executive accountability and independent audit validation criteria.

By utilizing RoutineMetric's interactive CISA Zero Trust Maturity Calculator, CISOs, compliance directors, and enterprise architects can systematically benchmark their current defense posture, track OMB M-22-09 federal mandate compliance, and synthesize board-ready governance memoranda in minutes.

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